| Multiresolution Knowledge Distillation for Anomaly Detection M Salehi, N Sadjadi, S Baselizadeh, MH Rohban, HR Rabiee Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 405 | 2021 |
| A unified survey on anomaly, novelty, open-set, and out-of-distribution detection: Solutions and future challenges M Salehi, H Mirzaei, D Hendrycks, Y Li, MH Rohban, M Sabokrou Transaction on Machine Learning Research (TMLR), 2022 | 187 | 2022 |
| Puzzle-ae: Novelty detection in images through solving puzzles M Salehi, A Eftekhar, N Sadjadi, MH Rohban, HR Rabiee arXiv preprint arXiv:2008.12959, 2020 | 61 | 2020 |
| Arae: Adversarially robust training of autoencoders improves novelty detection M Salehi, A Arya, B Pajoum, M Otoofi, A Shaeiri, MH Rohban, HR Rabiee Neural Networks 144, 726-736, 2021 | 60 | 2021 |
| Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection H Mirzaei, M Salehi, S Shahabi, E Gavves, CGM Snoek, M Sabokrou, ... International Conference on Learning Representations (ICLR), 2023 | 40* | 2023 |
| Swinchex: Multi-label classification on chest x-ray images with transformers S Taslimi, S Taslimi, N Fathi, M Salehi, MH Rohban arXiv preprint arXiv:2206.04246, 2022 | 19 | 2022 |
| Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations M Salehi, E Gavves, CGM Snoek, YM Asano International Conference on Computer Vision (ICCV), 2023 | 10 | 2023 |
| Forecasting influenza hemagglutinin mutations through the lens of anomaly detection A Garjani, AM Chegini, M Salehi, A Tabibzadeh, P Yousefi, ... Scientific Reports 13 (1), 14944, 2023 | 2 | 2023 |
| SIGMA: Sinkhorn-Guided Masked Video Modeling M Salehi, M Dorkenwald, FM Thoker, E Gavves, CGM Snoek, YM Asano European Conference on Computer Vision (ECCV), 2024 | | 2024 |
| GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features LPJ Sträter*, M Salehi*, E Gavves, CGM Snoek, YM Asano European Conference on Computer Vision (ECCV), 2024 | | 2024 |
Mohammad Hossein RohbanComputer Eng. Department, Sharif University of Technology在 sharif.edu 的电子邮件经过验证
