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Soroush Abbasi Koohpayegani
Soroush Abbasi Koohpayegani
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Compress: Self-supervised learning by compressing representations
SA Koohpayegani, A Tejankar, H Pirsiavash
Advances in Neural Information Processing Systems (NeurIPS) 2020 33, 12980 …, 2020
63*2020
Mean Shift for Self-Supervised Learning
SA Koohpayegani, A Tejankar, H Pirsiavash
International Conference on Computer Vision (ICCV) 2021, 2021
602021
Adaptive token sampling for efficient vision transformers
M Fayyaz, SA Koohpayegani, FR Jafari, S Sengupta, HRV Joze, ...
European Conference on Computer Vision, 396-414, 2022
482022
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
442022
ISD: Self-supervised learning by iterative similarity distillation
A Tejankar, SA Koohpayegani, V Pillai, P Favaro, H Pirsiavash
International Conference on Computer Vision (ICCV) 2021, 9609-9618, 2021
382021
Consistent explanations by contrastive learning
V Pillai, SA Koohpayegani, A Ouligian, D Fong, H Pirsiavash
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
112022
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
92022
Sima: Simple softmax-free attention for vision transformers
SA Koohpayegani, H Pirsiavash
arXiv preprint arXiv:2206.08898, 2022
62022
Backdoor attacks on vision transformers
A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash
arXiv preprint arXiv:2206.08477, 2022
42022
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
22022
Adaptive Token Sampling for Efficient Transformer
M Fayyaz, SA KOOHPAYEGANI, ECW Sommerlade, HV JOZE
US Patent App. 17/525,908, 2023
2023
Are vision transformers more robust than CNNs for Backdoor attacks?
A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash
2022
SimA: Simple Softmax-free Attention for Vision Transformers
S Abbasi Koohpayegani, H Pirsiavash
arXiv e-prints, arXiv: 2206.08898, 2022
2022
SELF-SUPERVISED LEARNING BY COMPRESSING REPRESENTATIONS FOR LIGHTWEIGHT MODELS
S Abbasi Koohpayegani
UMBC Student Collection, 2022
2022
Adaptive Inverse Transform Sampling For Efficient Vision Transformers
M Fayyaz, SA Koohpayegani, FR Jafari, S Sengupta, HRV Joze, ...
European Conference on Computer Vision (ECCV); 2022, 2022
2022
Self-Supervised Learning by Compressing Representations for Lightweight Models
SA Koohpayegani
University of Maryland, Baltimore County, 2022
2022
Constrained Mean Shift for Representation Learning
A Tejankar, SA Koohpayegani, H Pirsiavash
arXiv preprint arXiv:2110.10309, 2021
2021
Mean Shift for Self-Supervised Learning
S Abbasi Koohpayegani, A Tejankar, H Pirsiavash
arXiv e-prints, arXiv: 2105.07269, 2021
2021
Backdoor Attacks on Self-Supervised Learning-Supplementary Material
A Saha, A Tejankar, SA Koohpayegani, H Pirsiavash
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Artikelen 1–19