Rohban, Mohammad Hossein

22 publications

TMLR 2026 CARINOX: Inference-Time Scaling with Category-Aware Reward-Based Initial Noise Optimization and Exploration Seyed Amir Kasaei, Ali Aghayari, Arash Marioriyad, Niki Sepasian, Shayan Baghayi Nejad, MohammadAmin Fazli, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

ICLR 2025 Adversarially Robust Anomaly Detection Through Spurious Negative Pair Mitigation Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

TMLR 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

CVPR 2025 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

ICLRW 2025 Exploiting What Trained Models Learn for Making Them Robust to Spurious Correlations Without Group Annotations Mahdi Ghaznavi, Hesam Asadollahzadeh, Fahimeh Hosseini Noohdani, Soroush Vafaie Tabar, Hosein Hasani, Taha Akbari Alvanagh, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

NeurIPS 2025 FrameShield: Adversarially Robust Video Anomaly Detection Mojtaba Nafez, Mobina Poulaei, Nikan Vasei, Bardia soltani Moakhar, Mohammad Sabokrou, Mohammad Hossein Rohban

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

NeurIPS 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

TMLR 2025 Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-Image Models Parham Rezaei, Arash Marioriyad, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

NeurIPS 2025 ‌Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar, Elahe Zahiri, Soroush Vafaie Tabar, Alireza Alipanah, Nahal Mirzaie, Saeed Razavi, Amir Najafi, Mohammad Hossein Rohban

NeurIPSW 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

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

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

ECCV 2024 Snuffy: Efficient Whole Slide Image Classifier Hossein Jafarinia, Alireza Alipanah, Saeed Razavi, Nahal Mirzaie, Mohammad Hossein Rohban

CVPR 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

ICLR 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

MLJ 2023 Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization Mohammad Azizmalayeri, Mohammad Hossein Rohban

TMLR 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, Mohammad Hossein Rohban, Mohammad Sabokrou

NeurIPSW 2022 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

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

ICMLW 2021 The Interplay Between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban

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