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ORCIDMohammad H. Rohban
Mohammad Hossein Rohban
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2020 – today
- 2024
[j12]Mehdi Rahmani Jevinani, Banafsheh Habibian Dehkordi, Ian J. Ferguson, Mohammad Hossein Rohban:
Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures. Earth Sci. Informatics 17(2): 1663-1677 (2024)- [j11]Mehdi Rahmani Jevinani, Banafsheh Habibian Dehkordi, Ian J. Ferguson, Mohammad Hossein Rohban:
Correction to: Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures. Earth Sci. Informatics 17(2): 1679-1680 (2024) - [j10]Mahdi Amiri
, Mohammad Hossein Rohban, Shaahin Hessabi:
A Robust Heterogeneous Offloading Setup Using Adversarial Training. IEEE Trans. Mob. Comput. 23(7): 7927-7938 (2024) - [c30]Sina Elahimanesh, Iman Mohammadi, Mohammad Mosayebi, Sara Zahedi Movahed, Hosein Hasani, Mohammad Hossein Rohban:
User Voices, Platform Choices: Social Media Policy Puzzle with Decentralization Salt. CHI Extended Abstracts 2024: 360:1-360:10 - [c29]Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban:
Universal Novelty Detection Through Adaptive Contrastive Learning. CVPR 2024: 22914-22923 - [c28]Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. ECAI 2024: 729-736 - [c27]Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models. ECCV (89) 2024: 35-50 - [c26]Hossein Jafarinia, Alireza Alipanah, Saeed Razavi, Nahal Mirzaie, Mohammad Hossein Rohban:
Snuffy: Efficient Whole Slide Image Classifier. ECCV (89) 2024: 243-260 - [c25]Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Zeinab Sadat Taghavi, Mohammad Sabokrou, Mohammad Hossein Rohban:
Killing It With Zero-Shot: Adversarially Robust Novelty Detection. ICASSP 2024: 7415-7419 - [c24]Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban:
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. ICML 2024 - [i38]Mohammad Rostami, Amin Ghariyazi, Hamed Dashti, Mohammad Hossein Rohban, Hamid R. Rabiee:
CRISPR: Ensemble Model. CoRR abs/2403.03018 (2024) - [i37]Reza Abbasi, Mohammad Samiei, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP. CoRR abs/2403.18525 (2024) - [i36]Omid Ghahroodi, Marzia Nouri, Mohammad V. Sanian, Alireza Sahebi, Doratossadat Dastgheib, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban:
Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language? CoRR abs/2404.06644 (2024) - [i35]Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models. CoRR abs/2407.05897 (2024) - [i34]Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. CoRR abs/2407.21001 (2024) - [i33]Hossein Jafarinia, Alireza Alipanah, Danial Hamdi, Saeed Razavi, Nahal Mirzaie, Mohammad Hossein Rohban:
Snuffy: Efficient Whole Slide Image Classifier. CoRR abs/2408.08258 (2024) - [i32]Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban:
Universal Novelty Detection Through Adaptive Contrastive Learning. CoRR abs/2408.10798 (2024) - [i31]Pardis Afshar, Sajjad Hashembeiki, Pouya Khani, Emad Fatemizadeh, Mohammad Hossein Rohban:
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology. CoRR abs/2408.16395 (2024) - [i30]Mahdi Ghaznavi, Hesam Asadollahzadeh, Fahimeh Hosseini Noohdani, Soroush Vafaie Tabar, Hosein Hasani, Taha Akbari Alvanagh, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation. CoRR abs/2410.05345 (2024) - [i29]Arash Mari Oriyad, Mohammadamin Banayeeanzade, Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models! CoRR abs/2410.20972 (2024) - [i28]Arash Mari Oriyad, Parham Rezaei, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban:
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models. CoRR abs/2410.22775 (2024) - 2023
- [j9]Razieh Pourdarbani, Sajad Sabzi, Mohsen Dehghankar, Mohammad H. Rohban, Juan Ignacio Arribas:
Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging. Algorithms 16(2): 113 (2023) - [j8]Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban:
ZeroGrad: Costless conscious remedies for catastrophic overfitting in the FGSM adversarial training. Intell. Syst. Appl. 19: 200258 (2023) - [j7]Mohammad Azizmalayeri, Mohammad Hossein Rohban:
Lagrangian objective function leads to improved unforeseen attack generalization. Mach. Learn. 112(8): 3003-3031 (2023) - [c23]Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. CSICC 2023: 1-6 - [c22]Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban:
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. ICLR 2023 - [c21]Reihaneh Zohrabi, Mostafa Masumi, Omid Ghahroodi, Parham AbedAzad, Hamid Beigy, Mohammad Hossein Rohban, Ehsaneddin Asgari:
Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration. IJCNLP (2) 2023: 175-183 - [c20]Nahal Mirzaie, Mohammad V. Sanian, Mohammad H. Rohban:
Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery. MICCAI (8) 2023: 676-685 - [c19]Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid R. Rabiee, Ehsaneddin Asgari:
Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection. SemEval@ACL 2023: 2164-2167 - [i27]Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. CoRR abs/2301.10454 (2023) - [i26]Sina Abdous, Reza Abdollahzadeh, Mohammad Hossein Rohban:
KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images. CoRR abs/2304.08240 (2023) - [i25]Amirhossein Askari-Farsangi, Ali Sharifi-Zarchi, Mohammad Hossein Rohban:
Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers. CoRR abs/2307.04014 (2023) - [i24]Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. CoRR abs/2310.09952 (2023) - [i23]Mahdi Salmani, Alireza Dehghanpour Farashah, Mohammad Azizmalayeri, Mahdi Amiri, Navid Eslami, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods. CoRR abs/2310.18975 (2023) - [i22]Mohammad Azizmalayeri, Reza Abbasi, Amir Hosein Haji Mohammad rezaie, Reihaneh Zohrabi, Mahdi Amiri, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection. CoRR abs/2311.00079 (2023) - [i21]Mahdi Ghaznavi, Hesam Asadollahzadeh, HamidReza Yaghoubi Araghi, Fahimeh Hosseini Noohdani, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Annotation-Free Group Robustness via Loss-Based Resampling. CoRR abs/2312.04893 (2023) - 2022
- [j6]Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou:
A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. Trans. Mach. Learn. Res. 2022 (2022) - [c18]Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Your Out-of-Distribution Detection Method is Not Robust! NeurIPS 2022 - [i20]Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban:
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. CoRR abs/2205.14297 (2022) - [i19]Mohammad Azizmalayeri, Mohammad Hossein Rohban:
OOD Augmentation May Be at Odds with Open-Set Recognition. CoRR abs/2206.04242 (2022) - [i18]Sina Taslimi, Soroush Taslimi, Nima Fathi, Mohammadreza Salehi, Mohammad Hossein Rohban:
SwinCheX: Multi-label classification on chest X-ray images with transformers. CoRR abs/2206.04246 (2022) - [i17]Simin Shekarpaz, Mohammad Azizmalayeri, Mohammad Hossein Rohban:
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations. CoRR abs/2207.06647 (2022) - [i16]Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Your Out-of-Distribution Detection Method is Not Robust! CoRR abs/2209.15246 (2022) - [i15]Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei, Mohammad Hossein Rohban:
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection. CoRR abs/2210.13709 (2022) - 2021
- [j5]Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee:
ARAE: Adversarially robust training of autoencoders improves novelty detection. Neural Networks 144: 726-736 (2021) - [c17]Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee:
Multiresolution Knowledge Distillation for Anomaly Detection. CVPR 2021: 14902-14912 - [i14]Reza Shirkavand, Sana Ayromlou, Soroush Farghadani, Maedeh-sadat Tahaei, Fattane Pourakpour, Bahareh Siahlou, Zeynab Khodakarami, Mohammad H. Rohban, Mansoor Fatehi, Hamid R. Rabiee:
Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI. CoRR abs/2103.10056 (2021) - [i13]Mohammad Azizmalayeri, Mohammad Hossein Rohban:
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training. CoRR abs/2103.15385 (2021) - [i12]Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban:
ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training. CoRR abs/2103.15476 (2021) - [i11]Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban:
The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. CoRR abs/2107.00247 (2021) - [i10]Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou:
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges. CoRR abs/2110.14051 (2021) - 2020
- [i9]Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee:
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection. CoRR abs/2003.05669 (2020) - [i8]Amirreza Shaeiri, Rozhin Nobahari, Mohammad Hossein Rohban:
Towards Deep Learning Models Resistant to Large Perturbations. CoRR abs/2003.13370 (2020) - [i7]Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee:
Puzzle-AE: Novelty Detection in Images through Solving Puzzles. CoRR abs/2008.12959 (2020) - [i6]Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee:
Multiresolution Knowledge Distillation for Anomaly Detection. CoRR abs/2011.11108 (2020)
2010 – 2019
- 2016
- [j4]Mohammad Hossein Rohban, Venkatesh Saligrama, Delaram Motamed Vaziri:
Minimax Optimal Sparse Signal Recovery With Poisson Statistics. IEEE Trans. Signal Process. 64(13): 3495-3508 (2016) - [i5]Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad Taghi Manzuri, Mohammad H. Rohban:
Active Learning from Positive and Unlabeled Data. CoRR abs/1602.07495 (2016) - [i4]Alireza Ghasemi, Hamid R. Rabiee, Mohammad Taghi Manzuri, Mohammad H. Rohban:
A Bayesian Approach to the Data Description Problem. CoRR abs/1602.07507 (2016) - 2014
- [c16]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
Efficient Distributed Topic Modeling with Provable Guarantees. AISTATS 2014: 167-175 - [c15]Delaram Motamedvaziri, Mohammad Hossein Rohban, Venkatesh Saligrama:
Sparse signal recovery under poisson statistics for online marketing applications. ICASSP 2014: 4953-4957 - 2013
- [c14]Delaram Motamedvaziri, Mohammad H. Rohban, Venkatesh Saligrama:
Sparse signal recovery under Poisson statistics. Allerton 2013: 1450-1457 - [c13]Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Mohammad Hossein Rohban, Mostafa Salehi:
Incorporating Betweenness Centrality in Compressive Sensing for congestion detection. ICASSP 2013: 4519-4523 - [c12]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
A new geometric approach to latent topic modeling and discovery. ICASSP 2013: 5568-5572 - [c11]Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama:
Topic Discovery through Data Dependent and Random Projections. ICML (3) 2013: 1202-1210 - [c10]Mohammad H. Rohban, Prakash Ishwar, Burkay Orten, William Clement Karl, Venkatesh Saligrama:
An impossibility result for high dimensional supervised learning. ITW 2013: 1-5 - [i3]Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Mohammad Hossein Rohban, Mostafa Salehi:
Incorporating Betweenness Centrality in Compressive Sensing for Congestion Detection. CoRR abs/1301.5399 (2013) - [i2]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
Topic Discovery through Data Dependent and Random Projections. CoRR abs/1303.3664 (2013) - [i1]Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama:
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. CoRR abs/1310.7994 (2013) - 2012
- [j3]Mohammad H. Rohban, Hamid R. Rabiee:
Supervised neighborhood graph construction for semi-supervised classification. Pattern Recognit. 45(4): 1363-1372 (2012) - [j2]Nima Pourdamghani, Hamid R. Rabiee, Fartash Faghri, Mohammad Hossein Rohban:
Graph based semi-supervised human pose estimation: When the output space comes to help. Pattern Recognit. Lett. 33(12): 1529-1535 (2012) - [j1]Hadi Asheri, Hamid R. Rabiee, Mohammad H. Rohban:
Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes With Adaptive Nonstationary Kernels. IEEE Signal Process. Lett. 19(10): 700-703 (2012) - [c9]Alireza Ghasemi, Hamid R. Rabiee, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
A Bayesian Approach to the Data Description Problem. AAAI 2012: 907-913 - 2011
- [c8]Hadi Asheri, Abdolkhalegh Bayati, Hamid R. Rabiee, Mohammad H. Rohban:
Motion vector recovery with Gaussian Process Regression. ICASSP 2011: 953-956 - [c7]Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, Mohammad Hossein Rohban:
Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning. ICDM 2011: 191-200 - [c6]Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad Taghi Manzuri, Mohammad H. Rohban:
Active Learning from Positive and Unlabeled Data. ICDM Workshops 2011: 244-250 - [c5]Alireza Ghasemi, Mohammad Taghi Manzuri, Hamid R. Rabiee, Mohammad H. Rohban, Siavash Haghiri:
Active one-class learning by kernel density estimation. MLSP 2011: 1-6 - [c4]Mehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad H. Rohban:
Manifold Coarse Graining for Online Semi-supervised Learning. ECML/PKDD (1) 2011: 391-406 - [c3]Salman Khaleghian, Hamid R. Rabiee, Mohammad H. Rohban:
Face recognition across large pose variations via Boosted Tied Factor Analysis. WACV 2011: 190-195 - 2010
- [c2]Hadi Asheri, Hamid R. Rabiee, Nima Pourdamghani, Mohammad H. Rohban:
A Gaussian Process Regression Framework for Spatial Error Concealment with Adaptive Kernels. ICPR 2010: 4541-4544
2000 – 2009
- 2009
- [c1]Mohammad H. Rohban, Hamid R. Rabiee, Arash Vahdat:
Face virtual pose generation using aligned locally linear regression for face recognition. ICIP 2009: 4121-4124
Coauthor Index
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