Face virtual pose generation using aligned locally linear regression for face recognition. - Mohammad H. Rohban; Hamid R. Rabiee; Arash Vahdat (ICIP, 2009)

A Gaussian Process Regression Framework for Spatial Error Concealment with Adaptive Kernels. - Hadi Asheri; Hamid R. Rabiee; Nima Pourdamghani; Mohammad H. Rohban (ICPR, 2010)

Motion vector recovery with Gaussian Process Regression. - Hadi Asheri; Abdolkhalegh Bayati; Hamid R. Rabiee; Mohammad H. Rohban (ICASSP, 2011)

Active Learning from Positive and Unlabeled Data. - Alireza Ghasemi; Hamid R. Rabiee; Mohsen Fadaee; Mohammad Taghi Manzuri; Mohammad H. Rohban (ICDM Workshops, 2011)

Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning. - Marjan Ghazvininejad; Mostafa Mahdieh; Hamid R. Rabiee; Parisa Khanipour Roshan; Mohammad Hossein Rohban (ICDM, 2011)

Active one-class learning by kernel density estimation. - Alireza Ghasemi; Mohammad Taghi Manzuri; Hamid R. Rabiee; Mohammad H. Rohban; Siavash Haghiri (MLSP, 2011)

Manifold Coarse Graining for Online Semi-supervised Learning. - Mehrdad Farajtabar; Amirreza Shaban; Hamid Reza Rabiee; Mohammad H. Rohban (ECML/PKDD (1), 2011)

Face recognition across large pose variations via Boosted Tied Factor Analysis. - Salman Khaleghian; Hamid R. Rabiee; Mohammad H. Rohban (WACV, 2011)

A Bayesian Approach to the Data Description Problem. - Alireza Ghasemi; Hamid R. Rabiee; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (AAAI, 2012)

Supervised neighborhood graph construction for semi-supervised classification. - Mohammad H. Rohban; Hamid R. Rabiee (Pattern Recognit., 2012)

Graph based semi-supervised human pose estimation: When the output space comes to help. - Nima Pourdamghani; Hamid R. Rabiee; Fartash Faghri; Mohammad Hossein Rohban (Pattern Recognit. Lett., 2012)

Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes With Adaptive Nonstationary Kernels. - Hadi Asheri; Hamid R. Rabiee; Mohammad H. Rohban (IEEE Signal Process. Lett., 2012)

Sparse signal recovery under Poisson statistics. - Delaram Motamedvaziri; Mohammad H. Rohban; Venkatesh Saligrama (Allerton, 2013)

A new geometric approach to latent topic modeling and discovery. - Weicong Ding; Mohammad H. Rohban; Prakash Ishwar; Venkatesh Saligrama (ICASSP, 2013)

Incorporating Betweenness Centrality in Compressive Sensing for congestion detection. - Hoda S. Ayatollahi Tabatabaii; Hamid R. Rabiee; Mohammad Hossein Rohban; Mostafa Salehi (ICASSP, 2013)

Topic Discovery through Data Dependent and Random Projections. - Weicong Ding; Mohammad Hossein Rohban; Prakash Ishwar; Venkatesh Saligrama (ICML (3), 2013)

An impossibility result for high dimensional supervised learning. - Mohammad H. Rohban; Prakash Ishwar; Burkay Orten; William Clement Karl; Venkatesh Saligrama (ITW, 2013)

Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. - Weicong Ding; Prakash Ishwar; Mohammad H. Rohban; Venkatesh Saligrama (CoRR, 2013)

Efficient Distributed Topic Modeling with Provable Guarantees. - Weicong Ding; Mohammad H. Rohban; Prakash Ishwar; Venkatesh Saligrama (AISTATS, 2014)

Sparse signal recovery under poisson statistics for online marketing applications. - Delaram Motamedvaziri; Mohammad Hossein Rohban; Venkatesh Saligrama (ICASSP, 2014)

Minimax Optimal Sparse Signal Recovery With Poisson Statistics. - Mohammad Hossein Rohban; Venkatesh Saligrama; Delaram Motamed Vaziri (IEEE Trans. Signal Process., 2016)

Towards Deep Learning Models Resistant to Large Perturbations. - Amirreza Shaeiri; Rozhin Nobahari; Mohammad Hossein Rohban (CoRR, 2020)

Puzzle-AE: Novelty Detection in Images through Solving Puzzles. - Mohammadreza Salehi; Ainaz Eftekhar; Niousha Sadjadi; Mohammad Hossein Rohban; Hamid R. Rabiee (CoRR, 2020)

Multiresolution Knowledge Distillation for Anomaly Detection. - Mohammadreza Salehi; Niousha Sadjadi; Soroosh Baselizadeh; Mohammad H. Rohban; Hamid R. Rabiee (CVPR, 2021)

Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI. - Reza Shirkavand; Sana Ayromlou; Soroush Farghadani; Maedeh-sadat Tahaei; Fattane Pourakpour; Bahareh Siahlou; Zeynab Khodakarami; Mohammad H. Rohban; Mansoor Fatehi; Hamid R. Rabiee (CoRR, 2021)

Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training. - Mohammad Azizmalayeri; Mohammad Hossein Rohban (CoRR, 2021)

ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training. - Zeinab Golgooni; Mehrdad Saberi; Masih Eskandar; Mohammad Hossein Rohban (CoRR, 2021)

The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. - Alireza Mousavi Hosseini; Amir Mohammad Abouei; Mohammad Hossein Rohban (CoRR, 2021)

ARAE: Adversarially robust training of autoencoders improves novelty detection. - Mohammadreza Salehi; Atrin Arya; Barbod Pajoum; Mohammad Otoofi; Amirreza Shaeiri; Mohammad Hossein Rohban; Hamid R. Rabiee (Neural Networks, 2021)

Your Out-of-Distribution Detection Method is Not Robust! - Mohammad Azizmalayeri; Arshia Soltani Moakhar; Arman Zarei; Reihaneh Zohrabi; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (NeurIPS, 2022)

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. - Hossein Mirzaei; Mohammadreza Salehi; Sajjad Shahabi; Efstratios Gavves; Cees G. M. Snoek; Mohammad Sabokrou; Mohammad Hossein Rohban (CoRR, 2022)

OOD Augmentation May Be at Odds with Open-Set Recognition. - Mohammad Azizmalayeri; Mohammad Hossein Rohban (CoRR, 2022)

SwinCheX: Multi-label classification on chest X-ray images with transformers. - Sina Taslimi; Soroush Taslimi; Nima Fathi; Mohammadreza Salehi; Mohammad Hossein Rohban (CoRR, 2022)

PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations. - Simin Shekarpaz; Mohammad Azizmalayeri; Mohammad Hossein Rohban (CoRR, 2022)

InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection. - Ali Garjani; Atoosa Malemir Chegini; Mohammadreza Salehi; Alireza Tabibzadeh; Parastoo Yousefi; Mohammad Hossein Razizadeh; Moein Esghaei; Maryam Esghaei; Mohammad Hossein Rohban (CoRR, 2022)

A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. - Mohammadreza Salehi; Hossein Mirzaei; Dan Hendrycks; Yixuan Li 001; Mohammad Hossein Rohban; Mohammad Sabokrou (Trans. Mach. Learn. Res., 2022)

A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. - Mohammad Azizmalayeri; Arman Zarei; Alireza Isavand; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CSICC, 2023)

Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. - Hossein Mirzaei; Mohammadreza Salehi; Sajjad Shahabi; Efstratios Gavves; Cees G. M. Snoek; Mohammad Sabokrou; Mohammad Hossein Rohban (ICLR, 2023)

Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration. - Reihaneh Zohrabi; Mostafa Masumi; Omid Ghahroodi; Parham AbedAzad; Hamid Beigy; Mohammad Hossein Rohban; Ehsaneddin Asgari (IJCNLP (2), 2023)

Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery. - Nahal Mirzaie; Mohammad V. Sanian; Mohammad H. Rohban (MICCAI (8), 2023)

Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection. - Omid Ghahroodi; Mohammad Ali Sadraei Javaheri; Doratossadat Dastgheib; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban; Hamid R. Rabiee; Ehsaneddin Asgari (SemEval@ACL, 2023)

KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images. - Sina Abdous; Reza Abdollahzadeh; Mohammad Hossein Rohban (CoRR, 2023)

Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers. - Amirhossein Askari-Farsangi; Ali Sharifi-Zarchi; Mohammad Hossein Rohban (CoRR, 2023)

Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. - Arshia Soltani Moakhar; Mohammad Azizmalayeri; Hossein Mirzaei; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CoRR, 2023)

Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods. - Mahdi Salmani; Alireza Dehghanpour Farashah; Mohammad Azizmalayeri; Mahdi Amiri; Navid Eslami; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CoRR, 2023)

Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection. - Mohammad Azizmalayeri; Reza Abbasi; Amir Hosein Haji Mohammad rezaie; Reihaneh Zohrabi; Mahdi Amiri; Mohammad Taghi Manzuri; Mohammad Hossein Rohban (CoRR, 2023)

Annotation-Free Group Robustness via Loss-Based Resampling. - Mahdi Ghaznavi; Hesam Asadollahzadeh; HamidReza Yaghoubi Araghi; Fahimeh Hosseini Noohdani; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (CoRR, 2023)

Lagrangian objective function leads to improved unforeseen attack generalization. - Mohammad Azizmalayeri; Mohammad Hossein Rohban (Mach. Learn., 2023)

Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging. - Razieh Pourdarbani; Sajad Sabzi; Mohsen Dehghankar; Mohammad H. Rohban; Juan Ignacio Arribas (Algorithms, 2023)

ZeroGrad: Costless conscious remedies for catastrophic overfitting in the FGSM adversarial training. - Zeinab Golgooni; Mehrdad Saberi; Masih Eskandar; Mohammad Hossein Rohban (Intell. Syst. Appl., 2023)

User Voices, Platform Choices: Social Media Policy Puzzle with Decentralization Salt. - Sina Elahimanesh; Iman Mohammadi; Mohammad Mosayebi; Sara Zahedi Movahed; Hosein Hasani; Mohammad Hossein Rohban (CHI Extended Abstracts, 2024)

Universal Novelty Detection Through Adaptive Contrastive Learning. - Hossein Mirzaei; Mojtaba Nafez; Mohammad Jafari; Mohammad Bagher Soltani; Mohammad Azizmalayeri; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (CVPR, 2024)

GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. - Ali Abdollahi; Mahdi Ghaznavi; Mohammad Reza Karimi Nejad; Arash Mari Oriyad; Reza Abbasi; Ali Salesi; Melika Behjati; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (ECAI, 2024)

Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models. - Reza Abbasi; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (ECCV (89), 2024)

Snuffy: Efficient Whole Slide Image Classifier. - Hossein Jafarinia; Alireza Alipanah; Saeed Razavi; Nahal Mirzaie; Mohammad Hossein Rohban (ECCV (89), 2024)

Killing It With Zero-Shot: Adversarially Robust Novelty Detection. - Hossein Mirzaei; Mohammad Jafari; Hamid Reza Dehbashi; Zeinab Sadat Taghavi; Mohammad Sabokrou; Mohammad Hossein Rohban (ICASSP, 2024)

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. - Hossein Mirzaei; Mohammad Jafari; Hamid Reza Dehbashi; Ali Ansari 001; Sepehr Ghobadi; Masoud Hadi; Arshia Soltani Moakhar; Mohammad Azizmalayeri; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban (ICML, 2024)

Scanning Trojaned Models Using Out-of-Distribution Samples. - Hossein Mirzaei; Ali Ansari 001; Bahar Dibaei Nia; Mojtaba Nafez; Moein Madadi; Sepehr Rezaee; Zeinab Taghavi 001; Arad Maleki; Kian Shamsaie; Mahdi Hajialilue; Jafar Habibi; Mohammad Sabokrou; et al. (NeurIPS, 2024)

CRISPR: Ensemble Model. - Mohammad Rostami; Amin Ghariyazi; Hamed Dashti; Mohammad Hossein Rohban; Hamid R. Rabiee (CoRR, 2024)

Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP. - Reza Abbasi; Mohammad Samiei; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (CoRR, 2024)

Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language? - Omid Ghahroodi; Marzia Nouri; Mohammad V. Sanian; Alireza Sahebi; Doratossadat Dastgheib; Ehsaneddin Asgari; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban (CoRR, 2024)

Snuffy: Efficient Whole Slide Image Classifier. - Hossein Jafarinia; Alireza Alipanah; Danial Hamdi; Saeed Razavi; Nahal Mirzaie; Mohammad Hossein Rohban (CoRR, 2024)

IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology. - Pardis Afshar; Sajjad Hashembeiki; Pouya Khani; Emad Fatemizadeh; Mohammad Hossein Rohban (CoRR, 2024)

Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation. - Mahdi Ghaznavi; Hesam Asadollahzadeh; Fahimeh Hosseini Noohdani; Soroush Vafaie Tabar; Hosein Hasani; Taha Akbari Alvanagh; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (CoRR, 2024)

Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models! - Arash Mari Oriyad; Mohammadamin Banayeeanzade; Reza Abbasi; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (CoRR, 2024)

Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models. - Arash Mari Oriyad; Parham Rezaei; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban (CoRR, 2024)

Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures. - Mehdi Rahmani Jevinani; Banafsheh Habibian Dehkordi; Ian J. Ferguson; Mohammad Hossein Rohban (Earth Sci. Informatics, 2024)

Correction to: Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures. - Mehdi Rahmani Jevinani; Banafsheh Habibian Dehkordi; Ian J. Ferguson; Mohammad Hossein Rohban (Earth Sci. Informatics, 2024)

A Robust Heterogeneous Offloading Setup Using Adversarial Training. - Mahdi Amiri; Mohammad Hossein Rohban; Shaahin Hessabi (IEEE Trans. Mob. Comput., 2024)

CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation. - Reza Abbasi; Ali Nazari; Aminreza Sefid; Mohammadali Banayeeanzade; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (CVPR, 2025)

PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies. - Mojtaba Nafez; Amirhossein Koochakian; Arad Maleki; Jafar Habibi; Mohammad Hossein Rohban (CVPR, 2025)

Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation. - Hossein Mirzaei; Mojtaba Nafez; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (ICLR, 2025)

Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models! - Arash Mari Oriyad; Mohammadali Banayeeanzade; Reza Abbasi; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (Trans. Mach. Learn. Res., 2025)

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection. - Hossein Mirzaei; Mojtaba Nafez; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban (CoRR, 2025)

A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts. - Hossein Mirzaei; Mojtaba Nafez; Moein Madadi; Arad Maleki; Mahdi Hajialilue; Zeinab Sadat Taghavi; Sepehr Rezaee; Ali Ansari 001; Bahar Dibaei Nia; Kian Shamsaie; Mohammadreza Salehi; Mackenzie W. Mathis; et al. (CoRR, 2025)

Analyzing CLIP's Performance Limitations in Multi-Object Scenarios: A Controlled High-Resolution Study. - Reza Abbasi; Ali Nazari; Aminreza Sefid; Mohammadali Banayeeanzade; Mohammad Hossein Rohban; Mahdieh Soleymani Baghshah (CoRR, 2025)

Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG. - Mojtaba Mollahossein; Farshad Haghgoo Daryakenari; Mohammad Hossein Rohban; Gholamreza Vossoughi (CoRR, 2025)

Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-image Models. - Parham Rezaei; Arash Mari Oriyad; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban (CoRR, 2025)

Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection. - Reihaneh Zohrabi; Hosein Hasani; Mahdieh Soleymani Baghshah; Anna Rohrbach; Marcus Rohrbach; Mohammad Hossein Rohban (CoRR, 2025)