Backdoor attacks on self-supervised learning A Saha, A Tejankar, SA Koohpayegani, H Pirsiavash Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 93 | 2022 |
Mean shift for self-supervised learning SA Koohpayegani, A Tejankar, H Pirsiavash Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 91 | 2021 |
Compress: Self-supervised learning by compressing representations S Abbasi Koohpayegani, A Tejankar, H Pirsiavash Advances in Neural Information Processing Systems 33, 12980-12992, 2020 | 88 | 2020 |
Isd: Self-supervised learning by iterative similarity distillation A Tejankar, SA Koohpayegani, V Pillai, P Favaro, H Pirsiavash Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 57 | 2021 |
A fistful of words: Learning transferable visual models from bag-of-words supervision A Tejankar, M Sanjabi, B Wu, S Xie, M Khabsa, H Pirsiavash, H Firooz arXiv preprint arXiv:2112.13884, 2021 | 22 | 2021 |
Simreg: Regression as a simple yet effective tool for self-supervised knowledge distillation KL Navaneet, SA Koohpayegani, A Tejankar, H Pirsiavash arXiv preprint arXiv:2201.05131, 2022 | 17 | 2022 |
Defending against patch-based backdoor attacks on self-supervised learning A Tejankar, M Sanjabi, Q Wang, S Wang, H Firooz, H Pirsiavash, L Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 10 | 2023 |
Backdoor attacks on vision transformers A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash arXiv preprint arXiv:2206.08477, 2022 | 9 | 2022 |
Constrained mean shift using distant yet related neighbors for representation learning KL Navaneet, S Abbasi Koohpayegani, A Tejankar, K Pourahmadi, ... European Conference on Computer Vision, 23-41, 2022 | 6 | 2022 |
Mean shift for self-supervised learning KS Abbasi, A Tejankar, H Pirsiavash International Conference on Computer Vision (ICCV) 2 (5), 6, 2021 | 5 | 2021 |
A simple baseline for domain adaptation using rotation prediction A Tejankar, H Pirsiavash arXiv preprint arXiv:1912.11903, 2019 | 3 | 2019 |
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks A Subramanya, SA Koohpayegani, A Saha, A Tejankar, H Pirsiavash Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
Can we train vision and language zero-shot classification models without syntax? A Tejankar, M Sanjabi, B Wu, M Khabsa, S Xie, H Pirsiavash, H Firooz NeurIPS 2022 Workshop: Self-Supervised Learning-Theory and Practice, 2022, 2022 | | 2022 |
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning A Tejankar, SA Koohpayegani, KL Navaneet, KP Meibodi, A Subramanya, ... European Conference on Computer Vision, 2022 | | 2022 |
Constrained Mean Shift for Representation Learning A Tejankar, SA Koohpayegani, H Pirsiavash arXiv preprint arXiv:2110.10309, 2021 | | 2021 |
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning: Supplementary Material KL Navaneet, SA Koohpayegani, A Tejankar, K Pourahmadi, ... | | |
Are vision transformers more robust than CNNs for Backdoor attacks? A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash | | |
Backdoor Attacks on Self-Supervised Learning-Supplementary Material A Saha, A Tejankar, SA Koohpayegani, H Pirsiavash | | |