Ajinkya Tejankar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Digital Image Watermarking

Density Function

Supervised Learning

Top Venues

Publications

Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. WACV (2024)
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR (2023)
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR (2023)
Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
Backdoor Attacks on Vision Transformers. CoRR (2022)
K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. CoRR (2022)
Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
Backdoor Attacks on Self-Supervised Learning. CVPR (2022)
K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. ECCV (31) (2022)
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
ISD: Self-Supervised Learning by Iterative Similarity Distillation. ICCV (2021)
K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. BMVC (2021)
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
Mean Shift for Self-Supervised Learning. ICCV (2021)
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
Constrained Mean Shift for Representation Learning. CoRR (2021)
Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
Backdoor Attacks on Self-Supervised Learning. CoRR (2021)
Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR (2021)
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
Mean Shift for Self-Supervised Learning. CoRR (2021)
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, K. L. Navaneet, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning. CoRR (2021)
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
CompRess: Self-Supervised Learning by Compressing Representations. NeurIPS (2020)
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
ISD: Self-Supervised Learning by Iterative Similarity Distillation. CoRR (2020)
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
CompRess: Self-Supervised Learning by Compressing Representations. CoRR (2020)
Ajinkya Tejankar, Hamed Pirsiavash
A simple baseline for domain adaptation using rotation prediction. CoRR (2019)