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ORCIDQinfeng Shi
Qinfeng (Javen) Shi – Javen Shi – Javen Qinfeng Shi
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- affiliation: University of Adelaide, Australia
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2020 – today
- 2024
[c73]Bahram Mohammadi, Yicong Hong, Yuankai Qi
, Qi Wu, Shirui Pan, Javen Qinfeng Shi:
Augmented Commonsense Knowledge for Remote Object Grounding. AAAI 2024: 4269-4277- [c72]Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi:
Semantic Role Labeling Guided Out-of-distribution Detection. LREC/COLING 2024: 14641-14651 - [c71]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Polynomial Causal Models through the Lens of Change. ICLR 2024 - [i75]Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. CoRR abs/2402.06223 (2024) - [i74]Yuhao Lin, Haiming Xu, Lingqiao Liu, Javen Qinfeng Shi:
A Simple-but-effective Baseline for Training-free Class-Agnostic Counting. CoRR abs/2403.01418 (2024) - [i73]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Neural Causal Models. CoRR abs/2403.15711 (2024) - [i72]Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Shi:
Highway Graph to Accelerate Reinforcement Learning. CoRR abs/2405.11727 (2024) - [i71]Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi:
Augmented Commonsense Knowledge for Remote Object Grounding. CoRR abs/2406.01256 (2024) - [i70]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models. CoRR abs/2407.11681 (2024) - [i69]Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi:
Rethinking State Disentanglement in Causal Reinforcement Learning. CoRR abs/2408.13498 (2024) - [i68]Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi:
InvariantStock: Learning Invariant Features for Mastering the Shifting Market. CoRR abs/2409.00671 (2024) - 2023
- [j44]Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee:
Factor Graph Neural Networks. J. Mach. Learn. Res. 24: 181:1-181:54 (2023) - [j43]Jiajun Meng, Zhenhua Wang, Kaining Ying, Jianhua Zhang, Dongyan Guo, Zhen Zhang, Javen Qinfeng Shi, Shengyong Chen:
Human Interaction Understanding With Consistency-Aware Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11898-11914 (2023) - [j42]Qingsen Yan, Shengqiang Liu, Songhua Xu, Caixia Dong, Zongfang Li, Javen Qinfeng Shi, Yanning Zhang, Duwei Dai:
3D Medical image segmentation using parallel transformers. Pattern Recognit. 138: 109432 (2023) - [j41]Qingsen Yan, Dong Gong, Pei Wang, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi:
SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring. IEEE Trans. Image Process. 32: 2857-2866 (2023) - [c70]Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Shi:
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. DICTA 2023: 32-40 - [c69]Jinan Zou, Yanxi Liu, Yuankai Qi, Haiyao Cao, Lingqiao Liu, Javen Qinfeng Shi:
A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. ICAIF 2023: 323-330 - [c68]Mohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi:
Improving Reward Estimation in Goal-Conditioned Imitation Learning with Counterfactual Data and Structural Causal Models. ICINCO (2) 2023: 329-337 - [i67]Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Qinfeng Shi:
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. CoRR abs/2303.09794 (2023) - [i66]Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi:
Semantic Role Labeling Guided Out-of-distribution Detection. CoRR abs/2305.18026 (2023) - [i65]Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee:
Factor Graph Neural Networks. CoRR abs/2308.00887 (2023) - [i64]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining. CoRR abs/2308.06755 (2023) - [i63]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations. CoRR abs/2308.06767 (2023) - [i62]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Polynomial Causal Models Through the Lens of Change. CoRR abs/2310.15580 (2023) - [i61]Yichao Cai, Yuhang Liu, Zhen Zhang, Javen Qinfeng Shi:
CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models. CoRR abs/2311.16445 (2023) - [i60]Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel:
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. CoRR abs/2311.17949 (2023) - 2022
- [j40]Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Int. J. Comput. Vis. 130(1): 76-94 (2022) - [j39]Hamid Rezatofighi, Tianyu Zhu, Roman Kaskman, Farbod T. Motlagh, Javen Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9011-9025 (2022) - [j38]Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Jinqiu Sun, Yu Zhu, Yanning Zhang:
High dynamic range imaging via gradient-aware context aggregation network. Pattern Recognit. 122: 108342 (2022) - [j37]Wei Sun, Dong Gong, Javen Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Video super-resolution via mixed spatial-temporal convolution and selective fusion. Pattern Recognit. 126: 108577 (2022) - [j36]Xian Wang, Lingqiao Liu, Javen Qinfeng Shi:
Computationally Efficient Dilated Convolutional Model for Melody Extraction. IEEE Signal Process. Lett. 29: 1599-1603 (2022) - [j35]Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel:
Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead. IEEE Trans. Multim. 24: 1426-1434 (2022) - [c67]Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi:
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CVPR 2022: 109-118 - [c66]Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong:
A Lightweight Network for High Dynamic Range Imaging. CVPR Workshops 2022: 823-831 - [c65]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops 2022: 1008-1022 - [c64]Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, Jingdong Wang:
Implicit Sample Extension for Unsupervised Person Re-Identification. CVPR 2022: 7359-7368 - [c63]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi:
Active Learning by Feature Mixing. CVPR 2022: 12227-12236 - [c62]Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe:
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. ICML 2022: 5309-5323 - [c61]Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi:
Truncated Matrix Power Iteration for Differentiable DAG Learning. NeurIPS 2022 - [c60]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel:
ForeSI: Success-Aware Visual Navigation Agent. WACV 2022: 3401-3410 - [i59]Dong Gong, Qingsen Yan, Yuhang Liu, Anton van den Hengel, Qinfeng (Javen) Shi:
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CoRR abs/2202.10203 (2022) - [i58]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Qinfeng (Javen) Shi:
Active Learning by Feature Mixing. CoRR abs/2203.07034 (2022) - [i57]Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, Jingdong Wang:
Implicit Sample Extension for Unsupervised Person Re-Identification. CoRR abs/2204.06892 (2022) - [i56]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park:
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR abs/2205.12633 (2022) - [i55]Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi:
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. CoRR abs/2206.06606 (2022) - [i54]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Weight-variant Latent Causal Models. CoRR abs/2208.14153 (2022) - [i53]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi:
Identifying Latent Causal Content for Multi-Source Domain Adaptation. CoRR abs/2208.14161 (2022) - [i52]Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi:
Truncated Matrix Power Iteration for Differentiable DAG Learning. CoRR abs/2208.14571 (2022) - [i51]Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe:
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. CoRR abs/2212.02003 (2022) - 2021
- [j34]Qingsen Yan, Bo Wang, Lei Zhang, Jingyu Zhang, Zheng You, Qinfeng Shi, Yanning Zhang:
Towards accurate HDR imaging with learning generator constraints. Neurocomputing 428: 79-91 (2021) - [j33]Alireza Abedin, Mahsa Ehsanpour, Qinfeng Shi, Hamid Rezatofighi, Damith C. Ranasinghe:
Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 1:1-1:22 (2021) - [j32]Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Jingyang Ai, Qinfeng Shi, Yanning Zhang, Shuo Jin, Liang Zhang, Zheng You:
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. IEEE Trans. Big Data 7(1): 13-24 (2021) - [j31]Wei Sun, Dong Gong, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. IEEE Trans. Image Process. 30: 2947-2962 (2021) - [j30]Qingsen Yan, Bo Wang, Wei Zhang, Chuan Luo, Wei Xu, Zhengqing Xu, Yanning Zhang, Qinfeng Shi, Liang Zhang, Zheng You:
Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation. IEEE J. Biomed. Health Informatics 25(7): 2629-2642 (2021) - [j29]Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng:
Deep Single Image Deraining via Modeling Haze-Like Effect. IEEE Trans. Multim. 23: 2481-2492 (2021) - [c59]Qingsen Yan, Bo Wang, Dong Gong, Dingwen Zhang, Yang Yang, Zheng You, Yanning Zhang, Javen Qinfeng Shi:
A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis. BMVC 2021: 250 - [c58]Dong Gong, Zhen Zhang, Qinfeng (Javen) Shi, Anton van den Hengel:
Memory-augmented Dynamic Neural Relational Inference. ICCV 2021: 11823-11832 - [c57]Zhenhua Wang, Jiajun Meng, Dongyan Guo, Jianhua Zhang, Qinfeng (Javen) Shi, Shengyong Chen:
Consistency-Aware Graph Network for Human Interaction Understanding. ICCV 2021: 13349-13358 - [c56]Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi:
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation. WACV 2021: 3732-3741 - [i50]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Learning for Visual Navigation by Imagining the Success. CoRR abs/2103.00446 (2021) - 2020
- [j28]Qingsen Yan, Bo Wang, Peipei Li, Xianjun Li, Ao Zhang, Qinfeng Shi, Zheng You, Yu Zhu, Jinqiu Sun, Yanning Zhang:
Ghost Removal via Channel Attention in Exposure Fusion. Comput. Vis. Image Underst. 201: 103079 (2020) - [j27]M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu:
GADE: A Generative Adversarial Approach to Density Estimation and its Applications. Int. J. Comput. Vis. 128(10): 2731-2743 (2020) - [j26]Yong Guo, Jian Chen, Qing Du, Anton van den Hengel, Qinfeng Shi, Mingkui Tan:
Multi-way backpropagation for training compact deep neural networks. Neural Networks 126: 250-261 (2020) - [j25]Chongyu Liu, Rui Yao, Seyed Hamid Rezatofighi, Ian Reid, Qinfeng Shi:
Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. IEEE Trans. Image Process. 29: 277-288 (2020) - [j24]Qingsen Yan, Lei Zhang, Yu Liu, Yu Zhu, Jinqiu Sun, Qinfeng Shi, Yanning Zhang:
Deep HDR Imaging via A Non-Local Network. IEEE Trans. Image Process. 29: 4308-4322 (2020) - [j23]Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang:
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. 32(2): 288-301 (2020) - [j22]Wenhe Liu, Dong Gong, Mingkui Tan, Qinfeng (Javen) Shi, Yi Yang, Alexander G. Hauptmann:
Learning Distilled Graph for Large-Scale Social Network Data Clustering. IEEE Trans. Knowl. Data Eng. 32(7): 1393-1404 (2020) - [j21]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4170-4184 (2020) - [j20]Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5468-5482 (2020) - [c55]Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel:
Counterfactual Vision and Language Learning. CVPR 2020: 10041-10051 - [c54]Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. CVPR 2020: 13447-13456 - [c53]Mahsa Ehsanpour, Alireza Abedin, Fatemeh Sadat Saleh, Javen Shi, Ian D. Reid, Hamid Rezatofighi:
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. ECCV (9) 2020: 177-195 - [c52]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Harmonic Structure-Based Neural Network Model for Music Pitch Detection. ICMLA 2020: 87-92 - [c51]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Enhancing Piano Transcription by Dilated Convolution. ICMLA 2020: 1446-1453 - [c50]Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Hamid Rezatofighi, Damith Ranasinghe:
Towards deep clustering of human activities from wearables. ISWC 2020: 1-6 - [c49]Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Qinfeng Shi, Anton van den Hengel:
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen. NeurIPS 2020 - [i49]Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation. CoRR abs/2001.02381 (2020) - [i48]Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR abs/2001.11845 (2020) - [i47]Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
MOT20: A benchmark for multi object tracking in crowded scenes. CoRR abs/2003.09003 (2020) - [i46]Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi:
Utilising Prior Knowledge for Visual Navigation: Distil and Adapt. CoRR abs/2004.03222 (2020) - [i45]Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You:
COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution. CoRR abs/2004.10987 (2020) - [i44]Mahsa Ehsanpour, Alireza Abedin, Fatemeh Sadat Saleh, Javen Shi, Ian D. Reid, Hamid Rezatofighi:
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. CoRR abs/2007.02632 (2020) - [i43]Alireza Abedin, Mahsa Ehsanpour, Qinfeng Shi, Hamid Rezatofighi, Damith Chinthana Ranasinghe:
Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors. CoRR abs/2007.07172 (2020) - [i42]Alireza Abedin, Farbod T. Motlagh, Qinfeng Shi, Seyed Hamid Rezatofighi, Damith Chinthana Ranasinghe:
Towards Deep Clustering of Human Activities from Wearables. CoRR abs/2008.01659 (2020) - [i41]Zhenhua Wang, Jiajun Meng, Jin Zhou, Dongyan Guo, Guosheng Lin, Jianhua Zhang, Qinfeng (Javen) Shi, Shengyong Chen:
LAGNet: Logic-Aware Graph Network for Human Interaction Understanding. CoRR abs/2011.10250 (2020)
2010 – 2019
- 2019
- [j19]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate imagery recovery using a multi-observation patch model. Inf. Sci. 501: 724-741 (2019) - [j18]Suwichaya Suwanwimolkul, Lei Zhang, Damith Chinthana Ranasinghe, Qinfeng Shi:
One-step adaptive markov random field for structured compressive sensing. Signal Process. 156: 116-144 (2019) - [j17]Rui Yao, Guosheng Lin, Chunhua Shen, Yanning Zhang, Qinfeng Shi:
Semantics-Aware Visual Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1687-1700 (2019) - [j16]Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith Chinthana Ranasinghe, Qinfeng (Javen) Shi:
An Adaptive Markov Random Field for Structured Compressive Sensing. IEEE Trans. Image Process. 28(3): 1556-1570 (2019) - [j15]Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. IEEE Trans. Image Process. 28(4): 1851-1865 (2019) - [j14]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Trans. Multim. 21(11): 2726-2737 (2019) - [c48]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. CVPR 2019: 1751-1760 - [c47]Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel:
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. CVPR 2019: 4155-4164 - [c46]Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi:
Variational Bayesian Dropout With a Hierarchical Prior. CVPR 2019: 7124-7133 - [c45]Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid:
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CVPR 2019: 7693-7702 - [c44]M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu:
A Generative Adversarial Density Estimator. CVPR 2019: 10782-10791 - [c43]Zhenhua Wang, Tong Liu, Qinfeng Shi, M. Pawan Kumar, Jianhua Zhang:
New Convex Relaxations for MRF Inference With Unknown Graphs. ICCV 2019: 9934-9942 - [c42]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. ICMLA 2019: 1353-1358 - [c41]Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner:
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) 2019: 353-366 - [c40]Alireza Abedin, Seyed Hamid Rezatofighi, Qinfeng Shi, Damith Chinthana Ranasinghe:
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. IJCAI 2019: 5780-5786 - [c39]Qingsen Yan, Dong Gong, Pingping Zhang, Qinfeng Shi, Jinqiu Sun, Ian David Reid, Yanning Zhang:
Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. WACV 2019: 41-50 - [i40]Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid:
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. CoRR abs/1901.03796 (2019) - [i39]Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid:
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CoRR abs/1903.00620 (2019) - [i38]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. CoRR abs/1903.11250 (2019) - [i37]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-guided Network for Ghost-free High Dynamic Range Imaging. CoRR abs/1904.10293 (2019) - [i36]Amin Parvaneh, Ehsan Abbasnejad, Qi Wu, Javen Shi:
Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator. CoRR abs/1905.03721 (2019) - [i35]Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Javen Shi:
Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection. CoRR abs/1905.04430 (2019) - [i34]Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng:
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. CoRR abs/1905.05404 (2019) - [i33]Alireza Abedin Varamin, Seyed Hamid Rezatofighi, Qinfeng Shi, Damith Chinthana Ranasinghe:
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks. CoRR abs/1906.02399 (2019) - [i32]Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR abs/1906.04567 (2019) - [i31]Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad, Chao Ma, Xiaoping Ma, Bing Zeng:
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes. CoRR abs/1906.09433 (2019) - [i30]Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner:
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR abs/1907.03076 (2019) - [i29]Yinglong Wang, Haokui Zhang, Yu Liu, Qinfeng Shi, Bing Zeng:
Gradient Information Guided Deraining with A Novel Network and Adversarial Training. CoRR abs/1910.03839 (2019) - [i28]Liangyi Kang, Jie Liu, Lingqiao Liu, Qinfeng Shi, Dan Ye:
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction. CoRR abs/1911.05202 (2019) - 2018
- [j13]Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. Int. J. Comput. Vis. 126(8): 797-821 (2018) - [j12]Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Chinthana Ranasinghe:
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. Pattern Recognit. 78: 252-266 (2018) - [c38]Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Learning of Set Cardinality and State Distribution. AAAI 2018: 3968-3975 - [c37]M. Ehsan Abbasnejad, Anthony R. Dick, Qinfeng Shi, Anton van den Hengel:
Active Learning from Noisy Tagged Images. BMVC 2018: 252 - [c36]Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi:
Deblurring Natural Image Using Super-Gaussian Fields. ECCV (1) 2018: 467-484 - [c35]Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi:
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. ECCV (3) 2018: 675-691 - [c34]Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi:
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. MobiQuitous 2018: 246-253 - [i27]Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning an Optimizer for Image Deconvolution. CoRR abs/1804.03368 (2018) - [i26]Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. CoRR abs/1805.00613 (2018) - [i25]Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR abs/1810.05438 (2018) - [i24]Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi:
Variational Bayesian Dropout. CoRR abs/1811.07533 (2018) - [i23]Alireza Abedin Varamin, Ehsan Abbasnejad, Qinfeng Shi, Damith Chinthana Ranasinghe, Seyed Hamid Rezatofighi:
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables. CoRR abs/1811.08127 (2018) - [i22]Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel:
An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR abs/1812.06398 (2018) - [i21]Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR abs/1812.06401 (2018) - 2017
- [j11]Roberto Luis Shinmoto Torres, Qinfeng Shi, Anton van den Hengel, Damith Chinthana Ranasinghe:
A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. Pervasive Mob. Comput. 40: 1-16 (2017) - [j10]Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Part-Based Robust Tracking Using Online Latent Structured Learning. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1235-1248 (2017) - [c33]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. AAAI 2017: 1934-1940 - [c32]Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel:
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. AAAI 2017: 3804-3811 - [c31]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR 2017: 3806-3815 - [c30]Chongyu Liu, Rui Yao, Seyed Hamid Rezatofighi, Ian D. Reid, Qinfeng Shi:
Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference. DICTA 2017: 1-8 - [c29]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Self-Paced Kernel Estimation for Robust Blind Image Deblurring. ICCV 2017: 1670-1679 - [c28]Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi:
Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching. IJCAI 2017: 4662-4668 - [i20]Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Chinthana Ranasinghe:
Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks. CoRR abs/1702.06212 (2017) - [i19]M. Ehsan Abbasnejad, Qinfeng Shi, Iman Abbasnejad, Anton van den Hengel, Anthony R. Dick:
Bayesian Conditional Generative Adverserial Networks. CoRR abs/1706.05477 (2017) - [i18]Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Beyond Low Rank: A Data-Adaptive Tensor Completion Method. CoRR abs/1708.01008 (2017) - [i17]Seyed Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Learning of Set Cardinality and State Distribution. CoRR abs/1709.04093 (2017) - 2016
- [j9]Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. 54(12): 7223-7235 (2016) - [c27]Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi:
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI 2016: 2080-2086 - [c26]Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi:
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. CIKM 2016: 1743-1752 - [c25]Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Probabilistic Matching Using m-Best Solutions. CVPR 2016: 136-145 - [c24]Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel:
Pairwise Matching through Max-Weight Bipartite Belief Propagation. CVPR 2016: 1202-1210 - [c23]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi:
Blind Image Deconvolution by Automatic Gradient Activation. CVPR 2016: 1827-1836 - [c22]Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi:
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. CVPR 2016: 5877-5886 - [c21]Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Cluster Sparsity Field for Hyperspectral Imagery Denoising. ECCV (5) 2016: 631-647 - [i16]Roberto Luis Shinmoto Torres, Damith Chinthana Ranasinghe, Qinfeng Shi, Anton van den Hengel:
Learning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields. CoRR abs/1603.03627 (2016) - [i15]Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi:
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. CoRR abs/1611.01773 (2016) - [i14]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR abs/1612.02583 (2016) - 2015
- [j8]Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang:
A Hybrid Loss for Multiclass and Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 2-12 (2015) - [j7]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen:
Hashing on Nonlinear Manifolds. IEEE Trans. Image Process. 24(6): 1839-1851 (2015) - [j6]Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. IEEE Trans. Image Process. 24(8): 2382-2392 (2015) - [j5]Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo:
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. IEEE Trans. Image Process. 24(12): 4918-4933 (2015) - [c20]Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang:
Learning graph structure for multi-label image classification via clique generation. CVPR 2015: 4100-4109 - [c19]Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Probabilistic Data Association Revisited. ICCV 2015: 3047-3055 - [c18]Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi:
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior. ICCV 2015: 3550-3558 - [c17]Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi:
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. IJCAI 2015: 3988-3994 - [c16]Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel:
Image-Based Recommendations on Styles and Substitutes. SIGIR 2015: 43-52 - [i13]Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi:
Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient. CoRR abs/1503.02828 (2015) - [i12]Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel:
Image-based Recommendations on Styles and Substitutes. CoRR abs/1506.04757 (2015) - 2014
- [j4]Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multiclass Boosting Through Randomization. IEEE Trans. Neural Networks Learn. Syst. 25(4): 764-779 (2014) - [c15]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CVPR 2014: 1971-1978 - [i11]Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang:
A Hybrid Loss for Multiclass and Structured Prediction. CoRR abs/1402.1921 (2014) - [i10]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CoRR abs/1404.1561 (2014) - [i9]Hui Li, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems. CoRR abs/1411.7450 (2014) - [i8]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen:
Hashing on Nonlinear Manifolds. CoRR abs/1412.0826 (2014) - 2013
- [c14]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang:
Inductive Hashing on Manifolds. CVPR 2013: 1562-1569 - [c13]Zhenhua Wang, Qinfeng Shi, Chunhua Shen, Anton van den Hengel:
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs. CVPR 2013: 1690-1697 - [c12]Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Part-Based Visual Tracking with Online Latent Structural Learning. CVPR 2013: 2363-2370 - [c11]Roberto Luis Shinmoto Torres, Damith Chinthana Ranasinghe, Qinfeng Shi:
Evaluation of Wearable Sensor Tag Data Segmentation Approaches for Real Time Activity Classification in Elderly. MobiQuitous 2013: 384-395 - [i7]Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multi-class Boosting through Randomization. CoRR abs/1302.0963 (2013) - [i6]Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang:
Inductive Hashing on Manifolds. CoRR abs/1303.7043 (2013) - [i5]Zhen Zhang, Qinfeng Shi, Yanning Zhang, Chunhua Shen, Anton van den Hengel:
Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations. CoRR abs/1312.4637 (2013) - 2012
- [j3]Junbin Gao, Qinfeng Shi, Tibério S. Caetano:
Dimensionality reduction via compressive sensing. Pattern Recognit. Lett. 33(9): 1163-1170 (2012) - [c10]Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel:
Non-sparse linear representations for visual tracking with online reservoir metric learning. CVPR 2012: 1760-1767 - [c9]Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel:
Robust Tracking with Weighted Online Structured Learning. ECCV (3) 2012: 158-172 - [c8]Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel:
Is margin preserved after random projection?. ICML 2012 - [i4]Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel:
Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning. CoRR abs/1204.2912 (2012) - [i3]Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel:
Is margin preserved after random projection? CoRR abs/1206.4651 (2012) - 2011
- [j2]Qinfeng Shi, Li Cheng, Li Wang, Alexander J. Smola:
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models. Int. J. Comput. Vis. 93(1): 22-32 (2011) - [c7]Qinfeng Shi, Anders P. Eriksson, Anton van den Hengel, Chunhua Shen:
Is face recognition really a Compressive Sensing problem? CVPR 2011: 553-560 - [c6]Hanxi Li, Chunhua Shen, Qinfeng Shi:
Real-time visual tracking using compressive sensing. CVPR 2011: 1305-1312 - 2010
- [c5]Qinfeng Shi, Hanxi Li, Chunhua Shen:
Rapid face recognition using hashing. CVPR 2010: 2753-2760 - [i2]Qinfeng Shi, Mark D. Reid, Tibério S. Caetano:
Conditional Random Fields and Support Vector Machines: A Hybrid Approach. CoRR abs/1009.3346 (2010) - [i1]Hanxi Li, Chunhua Shen, Qinfeng Shi:
Real-time Visual Tracking Using Sparse Representation. CoRR abs/1012.2603 (2010)
2000 – 2009
- 2009
- [j1]Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, S. V. N. Vishwanathan:
Hash Kernels for Structured Data. J. Mach. Learn. Res. 10: 2615-2637 (2009) - [c4]Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurmans:
Discriminative Maximum Margin Image Object Categorization with Exact Inference. ICIG 2009: 232-237 - [c3]Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, Alexander L. Strehl, Vishy Vishwanathan:
Hash Kernels. AISTATS 2009: 496-503 - 2008
- [c2]Qinfeng Shi, Li Wang, Li Cheng, Alexander J. Smola:
Discriminative human action segmentation and recognition using semi-Markov model. CVPR 2008 - 2007
- [c1]Qinfeng Shi, Yasemin Altun, Alexander J. Smola, S. V. N. Vishwanathan:
Semi-Markov Models for Sequence Segmentation. EMNLP-CoNLL 2007: 640-648
Coauthor Index
Ehsan Abbasnejad
aka: M. Ehsan Abbasnejad
aka: M. Ehsan Abbasnejad
[c71] [i75] [i73] [i69] [i68] [i62] [i60] [j40] [j38] [j37] [j35] [c67] [c63] [c60] [i59] [i58] [i54] [j31] [j29] [c58] [i50] [j27] [j26] [j21] [j20] [c55] [c54] [c49] [i49] [j19] [j15] [c48] [c47] [c44] [i37] [i34] [j13] [c37] [i27] [i25] [i22] [i21] [j11] [j10] [c33] [c32] [c31] [c29] [i19] [i18] [j9] [c27] [c24] [c23] [c22] [c21] [i16] [i15] [i14] [j8] [j7] [j6] [c20] [c16] [i13] [i12] [j4] [c15] [i11] [i10] [i9] [i8] [c14] [c13] [c12] [i7] [i6] [i5] [c10] [c9] [c8] [i4] [i3] [c7]
Seyed Hamid Rezatofighi
aka: Hamid Rezatofighi
aka: Hamid Rezatofighi
Alireza Abedin Varamin
aka: Alireza Abedin
aka: Alireza Abedin
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