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Ajinkya Tejankar
Ajinkya Tejankar
PhD student at UC Davis
Geverifieerd e-mailadres voor ucdavis.edu - Homepage
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Mean shift for self-supervised learning
SA Koohpayegani, A Tejankar, H Pirsiavash
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
852021
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
832022
Compress: Self-supervised learning by compressing representations
S Abbasi Koohpayegani, A Tejankar, H Pirsiavash
Advances in Neural Information Processing Systems 33, 12980-12992, 2020
822020
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
532021
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
202021
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
152022
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
92023
Backdoor attacks on vision transformers
A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash
arXiv preprint arXiv:2206.08477, 2022
72022
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
62022
Mean shift for self-supervised learning
KS Abbasi, A Tejankar, H Pirsiavash
International Conference on Computer Vision (ICCV) 2 (5), 6, 2021
52021
A simple baseline for domain adaptation using rotation prediction
A Tejankar, H Pirsiavash
arXiv preprint arXiv:1912.11903, 2019
32019
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
Are vision transformers more robust than CNNs for Backdoor attacks?
A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash
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, ...
Backdoor Attacks on Self-Supervised Learning-Supplementary Material
A Saha, A Tejankar, SA Koohpayegani, H Pirsiavash
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Artikelen 1–18