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Salman H. Khan 0001

Salman Hameed Khan – Salman Khan 0001

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affiliation: Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
affiliation: Australian National University, Canberra, Australia
affiliation: Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia
affiliation (PhD 2016): University of Western Australia, Crawley, Australia

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2024
[j52]
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Shahina K. Kunhimon, Abdelrahman M. Shaker, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Learnable weight initialization for volumetric medical image segmentation. Artif. Intell. Medicine 151: 102863 (2024)
[j51]
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Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah:
CT-VOS: Cutout prediction and tagging for self-supervised video object segmentation. Comput. Vis. Image Underst. 238: 103860 (2024)
[j50]
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Long Li, Junwei Han, Nian Liu, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 479-496 (2024)
[j49]
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Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan:
ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)
[j48]
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Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
Remote Sensing Change Detection With Transformers Trained From Scratch. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
[j47]
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Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 43(9): 3377-3390 (2024)
[j46]
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  - journals/tnn/NaseerKPK24
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Muzammal Naseer, Salman H. Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Toward a Generic Diagnostic Attack. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2042-2053 (2024)
[c142]
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  - conf/aaai/ZhangNCS00K24
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Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan:
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. AAAI 2024: 7278-7286
[c141]
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Khan:
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models. ACL (1) 2024: 12585-12602
[c140]
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  - conf/bionlp/ThawakarSMCAKLK24
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Omkar Chakradhar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan:
XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models. BioNLP@ACL 2024: 440-448
[c139]
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  - conf/cvpr/DharmasiriNKK22
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Amaya Dharmasiri, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Cross-Modal Self-Training: Aligning Images and Pointclouds to learn Classification without Labels. CVPR Workshops 2024: 708-717
[c138]
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  - conf/cvpr/Rasheed0MS0CAX024
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Hanoona Abdul Rasheed, Muhammad Maaz, Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Eric P. Xing, Ming-Hsuan Yang, Fahad Shahbaz Khan:
GLaMM: Pixel Grounding Large Multimodal Model. CVPR 2024: 13009-13018
[c137]
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  - conf/cvpr/WasimN00K24
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Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
VideoGrounding-DINO: Towards Open-Vocabulary Spatio- Temporal Video Grounding. CVPR 2024: 18909-18918
[c136]
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  - conf/cvpr/Hou0CHWF0KY24
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Wenjin Hou, Shiming Chen, Shuhuang Chen, Ziming Hong, Yan Wang, Xuetao Feng, Salman H. Khan, Fahad Shahbaz Khan, Xinge You:
Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning. CVPR 2024: 23627-23637
[c135]
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  - conf/cvpr/ChenH0K24
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Shiming Chen, Wenjin Hou, Salman H. Khan, Fahad Shahbaz Khan:
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning. CVPR 2024: 23964-23974
[c134]
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  - conf/cvpr/ThawakarNAKFSK24
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Omkar Thawakar, Muzammal Naseer, Rao Muhammad Anwer, Salman H. Khan, Michael Felsberg, Mubarak Shah, Fahad Shahbaz Khan:
Composed Video Retrieval via Enriched Context and Discriminative Embeddings. CVPR 2024: 26886-26896
[c133]
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  - conf/cvpr/NomanNCA0K24
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Mubashir Noman, Muzammal Naseer, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery. CVPR 2024: 27811-27819
[c132]
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  - conf/cvpr/KuckrejaDNDKK24
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Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Abhijit Das, Salman Khan, Fahad Shahbaz Khan:
GeoChat: Grounded Large Vision-Language Model for Remote Sensing. CVPR 2024: 27831-27840
[c131]
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  - conf/eccv/KumarANCKA24
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Amandeep Kumar, Muhammad Awais, Sanath Narayan, Hisham Cholakkal, Salman Khan, Rao Muhammad Anwer:
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning. ECCV (84) 2024: 124-141
[c130]
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  - conf/iclr/BaiX00KZGF24
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Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng:
Sentence-level Prompts Benefit Composed Image Retrieval. ICLR 2024
[c129]
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  - conf/iclr/GaniBN0W24
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Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman Khan, Peter Wonka:
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts. ICLR 2024
[c128]
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Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan, Lei Huang:
Modulate Your Spectrum in Self-Supervised Learning. ICLR 2024
[c127]
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  - conf/icml/LiuHY0CALK24
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Yuanwei Liu, Junwei Han, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Nian Liu, Fahad Shahbaz Khan:
Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation. ICML 2024
[c126]
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  - conf/icpram/AliA024
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Muhammad Ali, Omar Alsuwaidi, Salman Khan:
Enhanced Segmentation of Deformed Waste Objects in Cluttered Environments. ICPRAM 2024: 570-581
[c125]
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  - conf/icra/LahoudKCAK24
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Jean Lahoud, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan:
Long-Tailed 3D Semantic Segmentation with Adaptive Weight Constraint and Sampling. ICRA 2024: 5037-5044
[c124]
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  - conf/isbi/KunhimonNKK24
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Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Language Guided Domain Generalized Medical Image Segmentation. ISBI 2024: 1-5
[c123]
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  - conf/miccai/YanZLXGLKF24
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Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness For Medical Federated Learning. MICCAI (10) 2024: 13-23
[c122]
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Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. MICCAI (4) 2024: 167-177
[c121]
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Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation. MICCAI (12) 2024: 229-239
[c120]
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  - conf/miccai/HanifSANKNKA24
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Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer:
BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning. MICCAI (12) 2024: 443-453
[i182]
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  - journals/corr/abs-2401-00901
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Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding. CoRR abs/2401.00901 (2024)
[i181]
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  - journals/corr/abs-2402-13253
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Sara Pieri, Sahal Shaji Mullappilly, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman H. Khan, Timothy Baldwin, Hisham Cholakkal:
BiMediX: Bilingual Medical Mixture of Experts LLM. CoRR abs/2402.13253 (2024)
[i180]
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  - journals/corr/abs-2402-14818
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Muhammad Maaz, Hanoona Abdul Rasheed, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Tim Baldwin, Michael Felsberg, Fahad Shahbaz Khan:
PALO: A Polyglot Large Multimodal Model for 5B People. CoRR abs/2402.14818 (2024)
[i179]
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  - journals/corr/abs-2402-16840
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Omkar Thawakar, Ashmal Vayani, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Tim Baldwin, Eric P. Xing, Fahad Shahbaz Khan:
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT. CoRR abs/2402.16840 (2024)
[i178]
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  - journals/corr/abs-2402-17725
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Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan:
MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation. CoRR abs/2402.17725 (2024)
[i177]
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  - journals/corr/abs-2403-04701
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Hashmat Shadab Malik, Muhammad Huzaifa, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes. CoRR abs/2403.04701 (2024)
[i176]
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  - journals/corr/abs-2403-05419
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Mubashir Noman, Muzammal Naseer, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery. CoRR abs/2403.05419 (2024)
[i175]
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  - journals/corr/abs-2403-14614
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Yuning Cui, Syed Waqas Zamir, Salman H. Khan, Alois Knoll, Mubarak Shah, Fahad Shahbaz Khan:
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation. CoRR abs/2403.14614 (2024)
[i174]
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  - journals/corr/abs-2403-14616
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Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. CoRR abs/2403.14616 (2024)
[i173]
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  - journals/corr/abs-2403-14743
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Ahmad Mahmood, Ashmal Vayani, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
VURF: A General-purpose Reasoning and Self-refinement Framework for Video Understanding. CoRR abs/2403.14743 (2024)
[i172]
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  - journals/corr/abs-2403-16997
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Omkar Thawakar, Muzammal Naseer, Rao Muhammad Anwer, Salman H. Khan, Michael Felsberg, Mubarak Shah, Fahad Shahbaz Khan:
Composed Video Retrieval via Enriched Context and Discriminative Embeddings. CoRR abs/2403.16997 (2024)
[i171]
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  - journals/corr/abs-2403-17909
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Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Salman Khan, Fahad Shahbaz Khan:
ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detection. CoRR abs/2403.17909 (2024)
[i170]
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  - journals/corr/abs-2403-17937
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Abdelrahman M. Shaker, Syed Talal Wasim, Martin Danelljan, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Efficient Video Object Segmentation via Modulated Cross-Attention Memory. CoRR abs/2403.17937 (2024)
[i169]
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  - journals/corr/abs-2404-01272
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Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Language Guided Domain Generalized Medical Image Segmentation. CoRR abs/2404.01272 (2024)
[i168]
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  - journals/corr/abs-2404-02154
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Akshay Dudhane, Omkar Thawakar, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration. CoRR abs/2404.02154 (2024)
[i167]
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  - journals/corr/abs-2404-07713
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Shiming Chen, Wenjin Hou, Salman H. Khan, Fahad Shahbaz Khan:
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning. CoRR abs/2404.07713 (2024)
[i166]
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  - journals/corr/abs-2404-10146
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Amaya Dharmasiri, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without Labels. CoRR abs/2404.10146 (2024)
[i165]
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Wenjin Hou, Shiming Chen, Shuhuang Chen, Ziming Hong, Yan Wang, Xuetao Feng, Salman Khan, Fahad Shahbaz Khan, Xinge You:
Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning. CoRR abs/2404.14808 (2024)
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  - journals/corr/abs-2405-03690
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Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Jameel Hassan, Muzammal Naseer, Federico Tombari, Fahad Shahbaz Khan, Salman H. Khan:
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs. CoRR abs/2405.03690 (2024)
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Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Salman Khan, Xinbo Gao, Lina Yao:
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. CoRR abs/2405.12217 (2024)
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Amandeep Kumar, Muzammal Naseer, Sanath Narayan, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal:
Multi-modal Generation via Cross-Modal In-Context Learning. CoRR abs/2405.18304 (2024)
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Jiahua Dong, Hui Yin, Hongliu Li, Wenbo Li, Yulun Zhang, Salman Khan, Fahad Shahbaz Khan:
Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging. CoRR abs/2406.00449 (2024)
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Mohamed El Amine Boudjoghra, Angela Dai, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation. CoRR abs/2406.02548 (2024)
[i159]
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Amandeep Kumar, Muhammad Awais, Sanath Narayan, Hisham Cholakkal, Salman H. Khan, Rao Muhammad Anwer:
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning. CoRR abs/2406.04413 (2024)
[i158]
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Hashmat Shadab Malik, Numan Saeed, Asif Hanif, Muzammal Naseer, Mohammad Yaqub, Salman H. Khan, Fahad Shahbaz Khan:
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. CoRR abs/2406.08486 (2024)
[i157]
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Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman H. Khan:
Towards Evaluating the Robustness of Visual State Space Models. CoRR abs/2406.09407 (2024)
[i156]
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan:
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding. CoRR abs/2406.09418 (2024)
[i155]
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Rohit K. Bharadwaj, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs. CoRR abs/2406.10326 (2024)
[i154]
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Akshita Gupta, Aditya Arora, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Graham W. Taylor:
Open-Vocabulary Temporal Action Localization using Multimodal Guidance. CoRR abs/2406.15556 (2024)
[i153]
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Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng:
CPT: Consistent Proxy Tuning for Black-box Optimization. CoRR abs/2407.01155 (2024)
[i152]
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Muhammad Ali, Mamoona Javaid, Mubashir Noman, Mustansar Fiaz, Salman H. Khan:
FANet: Feature Amplification Network for Semantic Segmentation in Cluttered Background. CoRR abs/2407.09379 (2024)
[i151]
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Abdelrahman M. Shaker, Syed Talal Wasim, Salman Khan, Juergen Gall, Fahad Shahbaz Khan:
GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model. CoRR abs/2407.13772 (2024)
[i150]
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  - journals/corr/abs-2408-01293
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Muhammad Ali, Salman Khan:
Underwater Object Detection Enhancement via Channel Stabilization. CoRR abs/2408.01293 (2024)
[i149]
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Yasheng Sun, Bohan Li, Mingchen Zhuge, Deng-Ping Fan, Salman H. Khan, Fahad Shahbaz Khan, Hideki Koike:
Connecting Dreams with Visual Brainstorming Instruction. CoRR abs/2408.07317 (2024)
[i148]
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Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer:
BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning. CoRR abs/2408.07440 (2024)
[i147]
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Muhammad Akhtar Munir, Fahad Shahbaz Khan, Salman H. Khan:
Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region. CoRR abs/2409.07585 (2024)
[i146]
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Mubashir Noman, Noor Ahsan, Muzammal Naseer, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
CDChat: A Large Multimodal Model for Remote Sensing Change Description. CoRR abs/2409.16261 (2024)
[i145]
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Umair Nawaz, Muhammad Awais, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan, Rao Muhammad Anwer:
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment. CoRR abs/2410.01407 (2024)
[i144]
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  - journals/corr/abs-2410-01678
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Ayesha Ishaq, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer:
Open3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking. CoRR abs/2410.01678 (2024)
2023
[j45]
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Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. Mach. Intell. Res. 20(5): 605-613 (2023)
[j44]
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Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi:
Unsupervised anomaly instance segmentation for baggage threat recognition. J. Ambient Intell. Humaniz. Comput. 14(3): 1607-1618 (2023)
[j43]
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Fahad Shamshad, Salman H. Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in medical imaging: A survey. Medical Image Anal. 88: 102802 (2023)
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Taimur Hassan, Samet Akcay, Bilal Hassan, Mohammed Bennamoun, Salman H. Khan, Jorge Dias, Naoufel Werghi:
Cascaded structure tensor for robust baggage threat detection. Neural Comput. Appl. 35(15): 11269-11285 (2023)
[j41]
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  - journals/pami/ZamirAKHKYS23
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Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1934-1948 (2023)
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Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6403-6414 (2023)
[j39]
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Salman H. Khan, Fahad Shahbaz Khan, Ashish Vaswani, Niki Parmar, Ming-Hsuan Yang, Mubarak Shah:
Guest Editorial Introduction to the Special Section on Transformer Models in Vision. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12721-12725 (2023)
[j38]
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Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14611-14624 (2023)
[j37]
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  - journals/remotesensing/AleissaeeKAKCXK23
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Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan:
Transformers in Remote Sensing: A Survey. Remote. Sens. 15(7): 1860 (2023)
[c119]
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Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah, Muhammad Ahmad Waseem, Salman Khan, Fahad Shahbaz Khan, Arif Mahmood:
Unsupervised Landmark Discovery Using Consistency-Guided Bottleneck. BMVC 2023: 598-600
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Abdelrahman Mohamed, Rushali Grandhe, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan:
D³Former: Debiased Dual Distilled Transformer for Incremental Learning. CVPR Workshops 2023: 2421-2430
[c117]
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  - conf/cvpr/ZhangKSNCK23
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Sheng Zhang, Salman H. Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CVPR 2023: 3479-3488
[c116]
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Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. CVPR 2023: 5703-5712
[c115]
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Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Person Image Synthesis via Denoising Diffusion Model. CVPR 2023: 5968-5976
[c114]
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Hanoona Abdul Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman H. Khan, Fahad Shahbaz Khan:
Fine-tuned CLIP Models are Efficient Video Learners. CVPR 2023: 6545-6554
[c113]
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Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. CVPR 2023: 7247-7256
[c112]
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Muhammad Akhtar Munir, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection. CVPR 2023: 11474-11483
[c111]
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Muhammad Uzair Khattak, Hanoona Abdul Rasheed, Muhammad Maaz, Salman H. Khan, Fahad Shahbaz Khan:
MaPLe: Multi-modal Prompt Learning. CVPR 2023: 19113-19122
[c110]
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  - conf/cvpr/MehtaDMZKK23
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Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement. CVPR 2023: 22201-22210
[c109]
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  - conf/cvpr/WasimNKKS23
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Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting. CVPR 2023: 23034-23044
[c108]
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  - conf/emnlp/MullappillySTCA23
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Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Omkar Thawakar, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM. EMNLP (Findings) 2023: 14126-14136
[c107]
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Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo:
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. ICCV 2023: 2704-2714
[c106]
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  - conf/iccv/KumarBNCA00K23
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Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Generative Multiplane Neural Radiance for 3D-Aware Image Generation. ICCV 2023: 7354-7364
[c105]
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Syed Talal Wasim, Muhammad Uzair Khattak, Muzammal Naseer, Salman Khan, Mubarak Shah, Fahad Shahbaz Khan:
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition. ICCV 2023: 13732-13743
[c104]
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Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Self-regulating Prompts: Foundational Model Adaptation without Forgetting. ICCV 2023: 15144-15154
[c103]
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  - conf/iccv/Shaker0R00K23
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Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. ICCV 2023: 17379-17390
[c102]
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Nian Liu, Kepan Nan, Wangbo Zhao, Yuanwei Liu, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Junwei Han, Fahad Shahbaz Khan:
Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation. ICCV 2023: 18816-18825
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Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo:
Towards Instance-adaptive Inference for Federated Learning. ICCV 2023: 23230-23239
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  - conf/iccvw/Ali023
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Muhammad Ali, Salman H. Khan:
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representations. ICCV (Workshops) 2023: 4677-4681
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Muzammal Naseer, Ahmad Mahmood, Salman Khan, Fahad Shahbaz Khan:
Boosting Adversarial Transferability using Dynamic Cues. ICLR 2023
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  - conf/miccai/HanifNKSK23
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Asif Hanif, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. MICCAI (2) 2023: 457-467
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Wafa Al Ghallabi, Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Accelerated MRI Reconstruction via Dynamic Deformable Alignment Based Transformer. MLMI@MICCAI (1) 2023: 104-114
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Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
3D Indoor Instance Segmentation in an Open-World. NeurIPS 2023
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Muhammad Akhtar Munir, Salman H. Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan:
Cal-DETR: Calibrated Detection Transformer. NeurIPS 2023
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Vaishnav Potlapalli, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
PromptIR: Prompting for All-in-One Image Restoration. NeurIPS 2023
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Jameel Abdul Samadh, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. NeurIPS 2023
[c92]
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Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman H. Khan, David Brooks, Gu-Yeon Wei:
Hardware Resilience Properties of Text-Guided Image Classifiers. NeurIPS 2023
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  - conf/visapp/AliA023
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Muhammad Ali, Omar Alsuwaidi, Salman Khan:
BGD: Generalization Using Large Step Sizes to Attract Flat Minima. VISIGRAPP (5: VISAPP) 2023: 239-249
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Muhammad Ali, Omar Alsuwaidi, Salman Khan:
FlexPooling with Simple Auxiliary Classifiers in Deep Networks. VISIGRAPP (4: VISAPP) 2023: 497-505
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  - journals/corr/abs-2302-12252
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Muzammal Naseer, Ahmad Mahmood, Salman H. Khan, Fahad Shahbaz Khan:
Boosting Adversarial Transferability using Dynamic Cues. CoRR abs/2302.12252 (2023)
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  - journals/corr/abs-2303-14404
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Muhammad Akhtar Munir, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection. CoRR abs/2303.14404 (2023)
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  - journals/corr/abs-2303-15446
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Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. CoRR abs/2303.15446 (2023)
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  - journals/corr/abs-2304-01172
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Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Generative Multiplane Neural Radiance for 3D-Aware Image Generation. CoRR abs/2304.01172 (2023)
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  - journals/corr/abs-2304-01194
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Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. CoRR abs/2304.01194 (2023)
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  - journals/corr/abs-2304-01200
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Omkar Thawakar, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Video Instance Segmentation in an Open-World. CoRR abs/2304.01200 (2023)
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  - journals/corr/abs-2304-03307
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Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting. CoRR abs/2304.03307 (2023)
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  - journals/corr/abs-2304-06703
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Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement. CoRR abs/2304.06703 (2023)
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  - journals/corr/abs-2304-06710
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Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
Remote Sensing Change Detection With Transformers Trained from Scratch. CoRR abs/2304.06710 (2023)
[i134]
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  - journals/corr/abs-2305-00514
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Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. CoRR abs/2305.00514 (2023)
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  - journals/corr/abs-2305-16789
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Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan, Lei Huang:
Modulate Your Spectrum in Self-Supervised Learning. CoRR abs/2305.16789 (2023)
[i132]
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  - journals/corr/abs-2306-05424
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan:
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models. CoRR abs/2306.05424 (2023)
[i131]
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  - journals/corr/abs-2306-07971
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Omkar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan:
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models. CoRR abs/2306.07971 (2023)
[i130]
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  - journals/corr/abs-2306-09320
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Shahina K. Kunhimon, Abdelrahman M. Shaker, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Learnable Weight Initialization for Volumetric Medical Image Segmentation. CoRR abs/2306.09320 (2023)
[i129]
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  - journals/corr/abs-2306-13090
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Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan:
PromptIR: Prompting for All-in-One Blind Image Restoration. CoRR abs/2306.13090 (2023)
[i128]
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  - journals/corr/abs-2307-06947
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Syed Talal Wasim, Muhammad Uzair Khattak, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition. CoRR abs/2307.06947 (2023)
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  - journals/corr/abs-2307-06948
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Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Self-regulating Prompts: Foundational Model Adaptation without Forgetting. CoRR abs/2307.06948 (2023)
[i126]
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  - journals/corr/abs-2307-07269
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Asif Hanif, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. CoRR abs/2307.07269 (2023)
[i125]
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  - journals/corr/abs-2307-13721
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Muhammad Awais, Muzammal Naseer, Salman H. Khan, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Foundational Models Defining a New Era in Vision: A Survey and Outlook. CoRR abs/2307.13721 (2023)
[i124]
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  - journals/corr/abs-2307-15016
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Haotong Qin, Ge-Peng Ji, Salman H. Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. CoRR abs/2307.15016 (2023)
[i123]
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  - journals/corr/abs-2308-06038
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Chun-Mei Feng, Kai Yu, Yong Liu, Salman H. Khan, Wangmeng Zuo:
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. CoRR abs/2308.06038 (2023)
[i122]
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  - journals/corr/abs-2308-06051
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Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo:
Towards Instance-adaptive Inference for Federated Learning. CoRR abs/2308.06051 (2023)
[i121]
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  - journals/corr/abs-2308-12960
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Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan:
Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. CoRR abs/2308.12960 (2023)
[i120]
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  - journals/corr/abs-2309-10518
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Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah, Muhammad Ahmad Waseem, Salman H. Khan, Fahad Shahbaz Khan, Arif Mahmood:
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck. CoRR abs/2309.10518 (2023)
[i119]
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  - journals/corr/abs-2309-11160
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Nian Liu, Kepan Nan, Wangbo Zhao, Yuanwei Liu, Xiwen Yao, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Junwei Han, Fahad Shahbaz Khan:
Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation. CoRR abs/2309.11160 (2023)
[i118]
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  - journals/corr/abs-2309-14338
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Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
3D Indoor Instance Segmentation in an Open-World. CoRR abs/2309.14338 (2023)
[i117]
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  - journals/corr/abs-2310-05473
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Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng:
Sentence-level Prompts Benefit Composed Image Retrieval. CoRR abs/2310.05473 (2023)
[i116]
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  - journals/corr/abs-2310-10640
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Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman H. Khan, Peter Wonka:
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts. CoRR abs/2310.10640 (2023)
[i115]
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  - journals/corr/abs-2310-15324
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Adeel Yousaf, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Videoprompter: an ensemble of foundational models for zero-shot video understanding. CoRR abs/2310.15324 (2023)
[i114]
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  - journals/corr/abs-2311-01459
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Jameel Hassan, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. CoRR abs/2311.01459 (2023)
[i113]
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  - journals/corr/abs-2311-03356
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Hanoona Abdul Rasheed, Muhammad Maaz, Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Eric P. Xing, Ming-Hsuan Yang, Fahad Shahbaz Khan:
GLaMM: Pixel Grounding Large Multimodal Model. CoRR abs/2311.03356 (2023)
[i112]
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  - journals/corr/abs-2311-03570
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Muhammad Akhtar Munir, Salman Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan:
Cal-DETR: Calibrated Detection Transformer. CoRR abs/2311.03570 (2023)
[i111]
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  - journals/corr/abs-2311-12068
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Rohit Bharadwaj, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Enhancing Novel Object Detection via Cooperative Foundational Models. CoRR abs/2311.12068 (2023)
[i110]
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  - journals/corr/abs-2311-13435
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Shehan Munasinghe, Rusiru Thushara, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Mubarak Shah, Fahad Shahbaz Khan:
PG-Video-LLaVA: Pixel Grounding Large Video-Language Models. CoRR abs/2311.13435 (2023)
[i109]
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Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman Khan, David Brooks, Gu-Yeon Wei:
Hardware Resilience Properties of Text-Guided Image Classifiers. CoRR abs/2311.14062 (2023)
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Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Abhijit Das, Salman Khan, Fahad Shahbaz Khan:
GeoChat: Grounded Large Vision-Language Model for Remote Sensing. CoRR abs/2311.15826 (2023)
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Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang:
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. CoRR abs/2312.07424 (2023)
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  - journals/corr/abs-2312-09366
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Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Omkar Thawakar, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM. CoRR abs/2312.09366 (2023)
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Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu:
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. CoRR abs/2312.12273 (2023)
2022
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Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
Visual Affordance and Function Understanding: A Survey. ACM Comput. Surv. 54(3): 47:1-47:35 (2022)
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Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. ACM Comput. Surv. 54(10s): 200:1-200:41 (2022)
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Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali:
Learning discriminative representations for multi-label image recognition. J. Vis. Commun. Image Represent. 83: 103448 (2022)
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Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Tensor pooling-driven instance segmentation framework for baggage threat recognition. Neural Comput. Appl. 34(2): 1239-1250 (2022)
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Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022)
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K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Incremental Object Detection via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9209-9216 (2022)
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Qiuxia Lai, Tianfei Zhou, Salman H. Khan, Hanqiu Sun, Jianbing Shen, Ling Shao:
Weakly Supervised Visual Saliency Prediction. IEEE Trans. Image Process. 31: 3111-3124 (2022)
[j29]
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Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6937-6951 (2022)
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  - conf/accv/SultanaNKKK22
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Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Self-distilled Vision Transformer for Domain Generalization. ACCV (2) 2022: 273-290
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Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. BMVC 2022: 532
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Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. BMVC 2022: 546
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Mubashir Noman, Wafa Al Ghallabi, Daniya Kareem, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. BMVC 2022: 817
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  - conf/cvpr/BhatDTCCCCCDFGG22
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Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo:
NTIRE 2022 Burst Super-Resolution Challenge. CVPR Workshops 2022: 1040-1060
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Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101
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Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan:
Adaptive Feature Consolidation Network for Burst Super-Resolution. CVPR Workshops 2022: 1278-1285
[c82]
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Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CVPR 2022: 2864-2874
[c81]
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Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. CVPR 2022: 5718-5729
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Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CVPR 2022: 5749-5758
[c79]
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K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian:
Energy-based Latent Aligner for Incremental Learning. CVPR 2022: 7442-7451
[c78]
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Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. CVPR 2022: 9225-9234
[c77]
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Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem:
Spatio-temporal Relation Modeling for Few-shot Action Recognition. CVPR 2022: 19926-19935
[c76]
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Muhammad Maaz, Abdelrahman M. Shaker, Hisham Cholakkal, Salman H. Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan:
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications. ECCV Workshops (7) 2022: 3-20
[c75]
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Wenhao Cheng, Xingping Dong, Salman H. Khan, Jianbing Shen:
Learning Disentanglement with Decoupled Labels for Vision-Language Navigation. ECCV (36) 2022: 309-329
[c74]
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Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. ECCV (17) 2022: 338-355
[c73]
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Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. ECCV (31) 2022: 382-401
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Class-Agnostic Object Detection with Multi-modal Transformer. ECCV (10) 2022: 512-531
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Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer. ECCV (29) 2022: 666-681
[c70]
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Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. ICLR 2022
[c69]
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Hanoona Abdul Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman H. Khan, Fahad Shahbaz Khan:
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. NeurIPS 2022
[c68]
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Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
An Investigation into Whitening Loss for Self-supervised Learning. NeurIPS 2022
[i104]
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  - journals/corr/abs-2201-02560
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Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. CoRR abs/2201.02560 (2022)
[i103]
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Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in Medical Imaging: A Survey. CoRR abs/2201.09873 (2022)
[i102]
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  - journals/corr/abs-2203-13253
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Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer. CoRR abs/2203.13253 (2022)
[i101]
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  - journals/corr/abs-2203-14952
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K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian:
Energy-based Latent Aligner for Incremental Learning. CoRR abs/2203.14952 (2022)
[i100]
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  - journals/corr/abs-2204-10846
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Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah:
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging. CoRR abs/2204.10846 (2022)
[i99]
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  - journals/corr/abs-2205-01649
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Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. CoRR abs/2205.01649 (2022)
[i98]
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  - journals/corr/abs-2206-10589
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Muhammad Maaz, Abdelrahman M. Shaker, Hisham Cholakkal, Salman Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan:
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications. CoRR abs/2206.10589 (2022)
[i97]
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Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. CoRR abs/2207.02261 (2022)
[i96]
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  - journals/corr/abs-2207-03482
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Hanoona Abdul Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman H. Khan, Fahad Shahbaz Khan:
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. CoRR abs/2207.03482 (2022)
[i95]
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Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. CoRR abs/2207.08803 (2022)
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Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan:
Self-Distilled Vision Transformer for Domain Generalization. CoRR abs/2207.12392 (2022)
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Abdelrahman Mohamed, Rushali Grandhe, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan:
D³Former: Debiased Dual Distilled Transformer for Incremental Learning. CoRR abs/2208.00777 (2022)
[i92]
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Jean Lahoud, Jiale Cao, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang:
3D Vision with Transformers: A Survey. CoRR abs/2208.04309 (2022)
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Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. CoRR abs/2208.06888 (2022)
[i90]
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Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan:
Transformers in Remote Sensing: A Survey. CoRR abs/2209.01206 (2022)
[i89]
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  - journals/corr/abs-2210-03114
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Vishal Thengane, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan:
CLIP model is an Efficient Continual Learner. CoRR abs/2210.03114 (2022)
[i88]
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Muhammad Uzair Khattak, Hanoona Abdul Rasheed, Muhammad Maaz, Salman Khan, Fahad Shahbaz Khan:
MaPLe: Multi-modal Prompt Learning. CoRR abs/2210.03117 (2022)
[i87]
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Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
An Investigation into Whitening Loss for Self-supervised Learning. CoRR abs/2210.03586 (2022)
[i86]
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Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Person Image Synthesis via Denoising Diffusion Model. CoRR abs/2211.12500 (2022)
[i85]
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Hanoona Abdul Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman Khan, Fahad Shahbaz Khan:
Fine-tuned CLIP Models are Efficient Video Learners. CoRR abs/2212.03640 (2022)
[i84]
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Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation. CoRR abs/2212.04497 (2022)
[i83]
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Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CoRR abs/2212.05590 (2022)
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Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Towards a Generic Diagnostic Attack. CoRR abs/2212.14875 (2022)
2021
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Saeed Anwar, Salman H. Khan, Nick Barnes:
A Deep Journey into Super-resolution: A Survey. ACM Comput. Surv. 53(3): 60:1-60:34 (2021)
[j27]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning digital camera pipeline for extreme low-light imaging. Neurocomputing 452: 37-47 (2021)
[j26]
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Hanif Rasyidi, Salman H. Khan:
Historical document image binarization via style augmentation and atrous convolutions. Neural Comput. Appl. 33(13): 7339-7352 (2021)
[j25]
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Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Deeply Supervised Discriminative Learning for Adversarial Defense. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3154-3166 (2021)
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Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Accuracy vs. complexity: A trade-off in visual question answering models. Pattern Recognit. 120: 108106 (2021)
[j23]
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Qiuxia Lai, Salman H. Khan, Yongwei Nie, Hanqiu Sun, Jianbing Shen, Ling Shao:
Understanding More About Human and Machine Attention in Deep Neural Networks. IEEE Trans. Multim. 23: 2086-2099 (2021)
[c67]
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Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-Shot Learning. BMVC 2021: 152
[c66]
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Muhammad Haris Khan, Syed Muhammad talha Zaidi, Salman Khan, Fahad Shahbaz Khan:
Mode-Guided Feature Augmentation for Domain Generalization. BMVC 2021: 176
[c65]
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Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. BMVC 2021: 179
[c64]
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Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. BMVC 2021: 182
[c63]
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Salman Khan, Fabio Cuzzolin:
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection. BMVC 2021: 278
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  - conf/cvpr/Joseph0KB21
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K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Towards Open World Object Detection. CVPR 2021: 5830-5840
[c61]
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Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CVPR 2021: 10836-10846
[c60]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CVPR 2021: 14821-14831
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Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. ICCV 2021: 1066-1074
[c58]
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. ICCV 2021: 7688-7697
[c57]
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Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. ICCV 2021: 8711-8720
[c56]
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Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. ICCV 2021: 12313-12323
[c55]
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Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. ICLR 2021
[c54]
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Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds. NeurIPS 2021: 19487-19499
[c53]
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Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. NeurIPS 2021: 23296-23308
[i81]
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Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. CoRR abs/2101.01169 (2021)
[i80]
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Akshita Gupta, Sanath Narayan, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. CoRR abs/2101.11606 (2021)
[i79]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CoRR abs/2102.02808 (2021)
[i78]
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Sameera Ramasinghe, Kasun Fernando, Salman H. Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. CoRR abs/2102.03509 (2021)
[i77]
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Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CoRR abs/2103.01315 (2021)
[i76]
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K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Towards Open World Object Detection. CoRR abs/2103.02603 (2021)
[i75]
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  - journals/corr/abs-2103-14021
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Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. CoRR abs/2103.14021 (2021)
[i74]
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  - journals/corr/abs-2103-14641
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. CoRR abs/2103.14641 (2021)
[i73]
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  - journals/corr/abs-2104-03964
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Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. CoRR abs/2104.03964 (2021)
[i72]
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  - journals/corr/abs-2104-12709
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Mohamed Afham, Salman H. Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-shot Learning. CoRR abs/2104.12709 (2021)
[i71]
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  - journals/corr/abs-2105-10497
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Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. CoRR abs/2105.10497 (2021)
[i70]
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Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. CoRR abs/2106.04169 (2021)
[i69]
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Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition. CoRR abs/2107.07333 (2021)
[i68]
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  - journals/corr/abs-2107-11159
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Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali:
Learning Discriminative Representations for Multi-Label Image Recognition. CoRR abs/2107.11159 (2021)
[i67]
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Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. CoRR abs/2108.09301 (2021)
[i66]
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Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition. CoRR abs/2108.09603 (2021)
[i65]
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Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CoRR abs/2110.03680 (2021)
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. CoRR abs/2111.09881 (2021)
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Multi-modal Transformers Excel at Class-agnostic Object Detection. CoRR abs/2111.11430 (2021)
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Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. CoRR abs/2112.01513 (2021)
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Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CoRR abs/2112.01514 (2021)
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Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. CoRR abs/2112.03258 (2021)
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Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem:
Spatio-temporal Relation Modeling for Few-shot Action Recognition. CoRR abs/2112.05132 (2021)
2020
[j22]
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Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
A New Localization Objective for Accurate Fine-Grained Affordance Segmentation Under High-Scale Variations. IEEE Access 8: 28123-28132 (2020)
[j21]
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Liyuan Liu, Yanwei Pang, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context. IEEE Access 8: 34019-34028 (2020)
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Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-translational Equivariance. Int. J. Comput. Vis. 128(6): 1612-1634 (2020)
[j19]
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Shafin Rahman, Salman H. Khan, Fatih Porikli:
Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts. Int. J. Comput. Vis. 128(12): 2979-2999 (2020)
[j18]
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Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts. Image Vis. Comput. 103: 103985 (2020)
[j17]
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Guodong Ding, Salman H. Khan, Zhenmin Tang, Fatih Porikli:
Feature mask network for person re-identification. Pattern Recognit. Lett. 137: 91-98 (2020)
[j16]
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  - journals/sensors/HassanSAKBDW20
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Taimur Hassan, Muhammad Shafay, Samet Akçay, Salman H. Khan, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi:
Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats. Sensors 20(22): 6450 (2020)
[j15]
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Aamir Mustafa, Salman H. Khan, Munawar Hayat, Jianbing Shen, Ling Shao:
Image Super-Resolution as a Defense Against Adversarial Attacks. IEEE Trans. Image Process. 29: 1711-1724 (2020)
[j14]
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Shafin Rahman, Salman H. Khan, Nick Barnes:
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging. IEEE Trans. Multim. 22(1): 242-255 (2020)
[c52]
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Shafin Rahman, Salman H. Khan, Nick Barnes:
Improved Visual-Semantic Alignment for Zero-Shot Object Detection. AAAI 2020: 11932-11939
[c51]
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Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes. AAAI 2020: 12047-12054
[c50]
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Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. ACCV (3) 2020: 89-106
[c49]
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Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-Shot Object Detection. ACCV (3) 2020: 155-170
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CVPR 2020: 259-268
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Lin Li, Salman H. Khan, Nick Barnes:
Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene. CVPR Workshops 2020: 1098-1104
[c46]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CVPR 2020: 2693-2702
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Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-Supervised Learning for Few-Shot Image-to-Image Translation. CVPR 2020: 4452-4461
[c44]
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Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. CVPR 2020: 6937-6946
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Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CVPR 2020: 13585-13594
[c42]
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Guolei Sun, Salman H. Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool:
Fixing Localization Errors to Improve Image Classification. ECCV (25) 2020: 271-287
[c41]
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Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 392-422
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. ECCV (25) 2020: 492-511
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  - conf/icip/HassanBAKBW20
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Taimur Hassan, Meriem Bettayeb, Samet Akçay, Salman H. Khan, Mohammed Bennamoun, Naoufel Werghi:
Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach. ICIP 2020: 2016-2020
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Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Question-Agnostic Attention for Visual Question Answering. ICPR 2020: 3542-3549
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Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification. ICPRAM 2020: 115-125
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Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. IROS 2020: 8169-8176
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Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. WACV 2020: 21-31
[i58]
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  - journals/corr/abs-2001-07059
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Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models. CoRR abs/2001.07059 (2020)
[i57]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. CoRR abs/2003.06792 (2020)
[i56]
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Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. CoRR abs/2003.07003 (2020)
[i55]
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  - journals/corr/abs-2003-07761
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CoRR abs/2003.07761 (2020)
[i54]
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  - journals/corr/abs-2003-08798
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K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao:
Incremental Object Detection via Meta-Learning. CoRR abs/2003.08798 (2020)
[i53]
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  - journals/corr/abs-2003-11652
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Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CoRR abs/2003.11652 (2020)
[i52]
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Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-supervised Learning for Few-shot Image-to-Image Translation. CoRR abs/2003.13853 (2020)
[i51]
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Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans. CoRR abs/2004.06780 (2020)
[i50]
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  - journals/corr/abs-2006-04924
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CoRR abs/2006.04924 (2020)
[i49]
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  - journals/corr/abs-2006-09785
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Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. CoRR abs/2006.09785 (2020)
[i48]
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  - journals/corr/abs-2007-14672
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. CoRR abs/2007.14672 (2020)
[i47]
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  - journals/corr/abs-2009-12072
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Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020)
[i46]
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Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion. CoRR abs/2009.13158 (2020)
[i45]
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  - journals/corr/abs-2010-01725
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Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Attention Guided Semantic Relationship Parsing for Visual Question Answering. CoRR abs/2010.01725 (2020)
[i44]
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Sameera Ramasinghe, Kanchana Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. CoRR abs/2010.03132 (2020)
[i43]
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  - journals/corr/abs-2010-09291
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Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. CoRR abs/2010.09291 (2020)
[i42]
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Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-shot Object Detection. CoRR abs/2010.09425 (2020)
[i41]
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  - journals/corr/abs-2011-13055
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Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
How to train your conditional GAN: An approach using geometrically structured latent manifolds. CoRR abs/2011.13055 (2020)

2010 – 2019

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2019
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Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey. IEEE Access 7: 1859-1887 (2019)
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Salman H. Khan, Munawar Hayat, Fatih Porikli:
Regularization of deep neural networks with spectral dropout. Neural Networks 110: 82-90 (2019)
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Guodong Ding, Shanshan Zhang, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification. IEEE Trans. Multim. 21(11): 2891-2902 (2019)
[c34]
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Guodong Ding, Salman H. Khan, Zhenmin Tang:
Dispersion based Clustering for Unsupervised Person Re-identification. BMVC 2019: 264
[c33]
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Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CVPR Workshops 2019: 28-37
[c32]
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Salman H. Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, Ling Shao:
Striking the Right Balance With Uncertainty. CVPR 2019: 103-112
[c31]
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  - conf/cvpr/NahTBHMSL19
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Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984
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  - conf/cvpr/AbdelhamedTB19
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Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210
[c29]
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Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223
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Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232
[c27]
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Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes:
Unsupervised Primitive Discovery for Improved 3D Generative Modeling. CVPR 2019: 9739-9748
[c26]
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  - conf/dicta/RasyidiK19
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Hanif Rasyidi, Salman H. Khan:
Historical Document Text Binarization using Atrous Convolution and Multi-Scale Feature Decoder. DICTA 2019: 1-8
[c25]
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  - conf/iccv/Mustafa0HGS019
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Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. ICCV 2019: 3384-3393
[c24]
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Shafin Rahman, Salman H. Khan, Nick Barnes:
Transductive Learning for Zero-Shot Object Detection. ICCV 2019: 6081-6090
[c23]
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Munawar Hayat, Salman H. Khan, Syed Waqas Zamir, Jianbing Shen, Ling Shao:
Gaussian Affinity for Max-Margin Class Imbalanced Learning. ICCV 2019: 6468-6478
[c22]
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Sudong Cai, Yulan Guo, Salman H. Khan, Jiwei Hu, Gongjian Wen:
Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss. ICCV 2019: 8390-8399
[c21]
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Lin Li, Salman H. Khan, Nick Barnes:
Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene. ICCV Workshops 2019: 2080-2088
[c20]
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  - conf/igarss/KhanEH19
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Salman H. Khan, Emilio Echevarria, Mark Hemer:
Sentinel-1, WW3 and Buoy Spectral Comparisons in the Southern Ocean. IGARSS 2019: 8054-8057
[c19]
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Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Continual Learning. NeurIPS 2019: 12648-12658
[c18]
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Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. NeurIPS 2019: 12885-12895
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Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense Against Localized Adversarial Attacks. WACV 2019: 1300-1307
[i40]
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  - journals/corr/abs-1901-00616
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Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Volumetric Convolution: Automatic Representation Learning in Unit Ball. CoRR abs/1901.00616 (2019)
[i39]
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  - journals/corr/abs-1901-01677
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Aamir Mustafa, Salman H. Khan, Munawar Hayat, Jianbing Shen, Ling Shao:
Image Super-Resolution as a Defense Against Adversarial Attacks. CoRR abs/1901.01677 (2019)
[i38]
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  - journals/corr/abs-1901-07590
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Salman H. Khan, Munawar Hayat, Waqas Zamir, Jianbing Shen, Ling Shao:
Striking the Right Balance with Uncertainty. CoRR abs/1901.07590 (2019)
[i37]
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  - journals/corr/abs-1901-07711
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Munawar Hayat, Salman H. Khan, Waqas Zamir, Jianbing Shen, Ling Shao:
Max-margin Class Imbalanced Learning with Gaussian Affinity. CoRR abs/1901.07711 (2019)
[i36]
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  - journals/corr/abs-1904-00887
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Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. CoRR abs/1904.00887 (2019)
[i35]
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  - journals/corr/abs-1904-05939
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning Digital Camera Pipeline for Extreme Low-Light Imaging. CoRR abs/1904.05939 (2019)
[i34]
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  - journals/corr/abs-1904-07523
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Saeed Anwar, Salman H. Khan, Nick Barnes:
A Deep Journey into Super-resolution: A survey. CoRR abs/1904.07523 (2019)
[i33]
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  - journals/corr/abs-1905-11736
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Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. CoRR abs/1905.11736 (2019)
[i32]
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  - journals/corr/abs-1905-12886
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Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CoRR abs/1905.12886 (2019)
[i31]
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  - journals/corr/abs-1906-01120
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Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Incremental Learning. CoRR abs/1906.01120 (2019)
[i30]
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  - journals/corr/abs-1906-01308
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Guodong Ding, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification. CoRR abs/1906.01308 (2019)
[i29]
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  - journals/corr/abs-1906-03650
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Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes:
Unsupervised Primitive Discovery for Improved 3D Generative Modeling. CoRR abs/1906.03650 (2019)
[i28]
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  - journals/corr/abs-1906-08764
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Qiuxia Lai, Wenguan Wang, Salman H. Khan, Jianbing Shen, Hanqiu Sun, Ling Shao:
Human vs Machine Attention in Neural Networks: A Comparative Study. CoRR abs/1906.08764 (2019)
[i27]
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  - journals/corr/abs-1908-03289
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Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Question-Agnostic Attention for Visual Question Answering. CoRR abs/1908.03289 (2019)
[i26]
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  - journals/corr/abs-1908-10209
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Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. CoRR abs/1908.10209 (2019)
[i25]
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  - journals/corr/abs-1909-04951
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Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. CoRR abs/1909.04951 (2019)
[i24]
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  - journals/corr/abs-1912-01454
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Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance. CoRR abs/1912.01454 (2019)
[i23]
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  - journals/corr/abs-1912-01800
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Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. CoRR abs/1912.01800 (2019)
[i22]
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  - journals/corr/abs-1912-04251
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Taimur Hassan, Salman H. Khan, Samet Akcay, Mohammed Bennamoun, Naoufel Werghi:
Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs. CoRR abs/1912.04251 (2019)
[i21]
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  - journals/corr/abs-1912-06448
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Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. CoRR abs/1912.06448 (2019)
[i20]
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  - journals/corr/abs-1912-06842
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Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes. CoRR abs/1912.06842 (2019)
2018
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Salman Hameed Khan, Hossein Rahmani, Syed Afaq Ali Shah, Mohammed Bennamoun:
A Guide to Convolutional Neural Networks for Computer Vision. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00693-7
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Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning. IEEE Trans. Image Process. 27(11): 5652-5667 (2018)
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Salman H. Khan, Munawar Hayat, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3573-3587 (2018)
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Shafin Rahman, Salman H. Khan:
Deep Multiple Instance Learning for Zero-Shot Image Tagging. ACCV (1) 2018: 530-546
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Shafin Rahman, Salman H. Khan, Fatih Porikli:
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts. ACCV (1) 2018: 547-563
[c14]
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Moshiur R. Farazi, Salman H. Khan:
Reciprocal Attention Fusion for Visual Question Answering. BMVC 2018: 250
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Sameera Ramasinghe, C. D. Athuraliya, Salman H. Khan:
A Context-Aware Capsule Network for Multi-label Classification. ECCV Workshops (3) 2018: 546-554
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Guodong Ding, Shanshan Zhang, Salman H. Khan, Zhenmin Tang:
Center Based Pseudo-Labeling For Semi-Supervised Person Re-Identification. ICME Workshops 2018: 1-6
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Mohammad Ali Armin, Nick Barnes, Salman H. Khan, Miaomiao Liu, Florian Grimpen, Olivier Salvado:
Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 108-117
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Salman H. Khan, Munawar Hayat, Nick Barnes:
Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation. WACV 2018: 1312-1320
[i19]
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Muzammal Naseer, Salman Hameed Khan, Fatih Porikli:
Indoor Scene Understanding in 2.5/3D: A Survey. CoRR abs/1803.03352 (2018)
[i18]
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Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts. CoRR abs/1803.06049 (2018)
[i17]
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Shafin Rahman, Salman H. Khan:
Deep Multiple Instance Learning for Zero-shot Image Tagging. CoRR abs/1803.06051 (2018)
[i16]
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Salman H. Khan, Munawar Hayat, Nick Barnes:
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation. CoRR abs/1804.10323 (2018)
[i15]
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Moshiur R. Farazi, Salman H. Khan:
Reciprocal Attention Fusion for Visual Question Answering. CoRR abs/1805.04247 (2018)
[i14]
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Guodong Ding, Shanshan Zhang, Salman H. Khan, Zhenmin Tang, Jian Zhang, Fatih Porikli:
Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification. CoRR abs/1805.06118 (2018)
[i13]
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Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense against localized adversarial attacks. CoRR abs/1807.01216 (2018)
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Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
Visual Affordance and Function Understanding: A Survey. CoRR abs/1807.06775 (2018)
[i11]
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Sameera Ramasinghe, C. D. Athuralya, Salman H. Khan:
A Context-aware Capsule Network for Multi-label Classification. CoRR abs/1810.06231 (2018)
[i10]
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Shafin Rahman, Salman H. Khan, Nick Barnes:
Polarity Loss for Zero-shot Object Detection. CoRR abs/1811.08982 (2018)
[i9]
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Muzammal Naseer, Salman Hameed Khan, Shafin Rahman, Fatih Porikli:
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples. CoRR abs/1811.09020 (2018)
[i8]
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Moshiur R. Farazi, Salman Hameed Khan, Nick Barnes:
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts. CoRR abs/1811.12772 (2018)
2017
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Munawar Hayat, Salman H. Khan, Mohammed Bennamoun:
Empowering Simple Binary Classifiers for Image Set Based Face Recognition. Int. J. Comput. Vis. 123(3): 479-498 (2017)
[j7]
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Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun:
Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(9): 5407-5423 (2017)
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Munawar Hayat, Salman H. Khan, Naoufel Werghi, Roland Goecke:
Joint Registration and Representation Learning for Unconstrained Face Identification. CVPR 2017: 1551-1560
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Salman H. Khan, Munawar Hayat, Fatih Porikli:
Scene Categorization with Spectral Features. ICCV 2017: 5639-5649
[c7]
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Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Learning deep structured network for weakly supervised change detection. IJCAI 2017: 2008-2015
[i7]
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Shafin Rahman, Salman Hameed Khan, Fatih Porikli:
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning. CoRR abs/1706.08653 (2017)
[i6]
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Guodong Ding, Salman Hameed Khan, Zhenmin Tang, Fatih Porikli:
Let Features Decide for Themselves: Feature Mask Network for Person Re-identification. CoRR abs/1711.07155 (2017)
[i5]
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Salman H. Khan, Munawar Hayat, Fatih Porikli:
Regularization of Deep Neural Networks with Spectral Dropout. CoRR abs/1711.08591 (2017)
2016
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Salman Hameed Khan, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri, Imran Naseem:
Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images. Int. J. Comput. Vis. 117(1): 1-20 (2016)
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Salman Hameed Khan, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Automatic Shadow Detection and Removal from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 431-446 (2016)
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Salman H. Khan, Munawar Hayat, Mohammed Bennamoun, Roberto Togneri, Ferdous Ahmed Sohel:
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition. IEEE Trans. Image Process. 25(7): 3372-3383 (2016)
[j3]
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Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Senjian An:
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification. IEEE Trans. Image Process. 25(10): 4829-4841 (2016)
[i4]
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Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Fatih Porikli, Ferdous Ahmed Sohel, Roberto Togneri:
Weakly Supervised Change Detection in a Pair of Images. CoRR abs/1606.02009 (2016)
2015
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Salman H. Khan, Muhammad Ali Akbar, Farrukh Shahzad, Muddassar Farooq, Zeashan H. Khan:
Secure biometric template generation for multi-factor authentication. Pattern Recognit. 48(2): 458-472 (2015)
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Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Separating objects and clutter in indoor scenes. CVPR 2015: 4603-4611
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Salman H. Khan, Muhammad Ali Akbar:
Multi-Factor Authentication on Cloud. DICTA 2015: 1-7
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Senjian An, Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel:
Contractive Rectifier Networks for Nonlinear Maximum Margin Classification. ICCV 2015: 2515-2523
[i3]
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Salman H. Khan, Munawar Hayat, Mohammed Bennamoun, Roberto Togneri, Ferdous Ahmed Sohel:
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition. CoRR abs/1506.05196 (2015)
[i2]
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Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Senjian An:
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification. CoRR abs/1506.05532 (2015)
[i1]
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Salman Hameed Khan, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data. CoRR abs/1508.03422 (2015)
2014
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Salman Hameed Khan, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Automatic Feature Learning for Robust Shadow Detection. CVPR 2014: 1939-1946
[c2]
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Salman Hameed Khan, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Geometry Driven Semantic Labeling of Indoor Scenes. ECCV (1) 2014: 679-694
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Arsalan H. Khan, Zeashan H. Khan, Salman H. Khan:
Optimized Reconfigurable Autopilot Design for an Aerospace CPS. Computational Intelligence for Decision Support in Cyber-Physical Systems 2014: 381-420
2013
[j1]
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Muhammad Nabeel Anwar, Salman Hameed Khan:
Trial-by-Trial Adaptation of Movements during Mental Practice under Force Field. Comput. Math. Methods Medicine 2013: 109497:1-109497:11 (2013)
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Salman H. Khan, Zeashan Khan, Faisal Shafait:
Can Signature Biometrics Address Both Identification and Verification Problems? ICDAR 2013: 981-985

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