Sabokrou, Mohammad

15 publications

NeurIPS 2025 APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction Sasan Sharifipour, Constantino Alvarez Casado, Mohammad Sabokrou, Miguel Bordallo Lopez

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

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

CVPR 2024 Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli

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

TMLR 2024 Stealthy Backdoor Attack via Confidence-Driven Sampling Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou

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

ACML 2023 Mitigating Bias: Enhancing Image Classification by Improving Model Explanations Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooie, Mohammad Sabokrou

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

ICLR 2022 Looking Back on Learned Experiences for Class/task Incremental Learning Mozhgan PourKeshavarzi, Guoying Zhao, Mohammad Sabokrou

WACV 2021 G2D: Generate to Detect Anomaly Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou

CVPRW 2021 Sign Language Production: A Review Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou

CVPRW 2015 Real-Time Anomaly Detection and Localization in Crowded Scenes Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini, Reinhard Klette