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Soroush Abbasi Koohpayegani
Soroush Abbasi Koohpayegani
 Machine Learning Research Engineer
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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
1932022
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
1172022
Mean Shift for Self-Supervised Learning
SA Koohpayegani, A Tejankar, H Pirsiavash
International Conference on Computer Vision (ICCV) 2021, 2021
1122021
Compress: Self-supervised learning by compressing representations
SA Koohpayegani, A Tejankar, H Pirsiavash
Advances in Neural Information Processing Systems (NeurIPS) 2020 33, 12980 …, 2020
108*2020
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
652021
Compgs: Smaller and faster gaussian splatting with vector quantization
KL Navaneet, K Pourahmadi Meibodi, S Abbasi Koohpayegani, ...
European Conference on Computer Vision, 330-349, 2024
54*2024
Sima: Simple softmax-free attention for vision transformers
SA Koohpayegani, H Pirsiavash
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
382024
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
252022
NOLA: Compressing LoRA using Linear Combination of Random Basis
SA Koohpayegani, KL Navaneet, P Nooralinejad, S Kolouri, H Pirsiavash
The Twelfth International Conference on Learning Representations, 0
24*
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
232022
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
20*2024
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
122022
Pranc: Pseudo random networks for compacting deep models
P Nooralinejad, A Abbasi, SA Koohpayegani, KP Meibodi, RMS Khan, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
102023
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers
KL Navaneet, SA Koohpayegani, E Sleiman, H Pirsiavash
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2*2024
Adaptive Token Sampling for Efficient Transformer
M Fayyaz, SA KOOHPAYEGANI, ECW Sommerlade, HV JOZE
US Patent App. 17/525,908, 2023
22023
GeNIe: Generative Hard Negative Images Through Diffusion
SA Koohpayegani, A Singh, KL Navaneet, H Jamali-Rad, H Pirsiavash
arXiv preprint arXiv:2312.02548, 2023
12023
Multi-agent lifelong implicit neural learning
S Kolouri, A Abbasi, SA Koohpayegani, P Nooralinejad, H Pirsiavash
IEEE Signal Processing Letters, 2023
12023
MCNC: Manifold Constrained Network Compression
C Thrash, A Abbasi, P Nooralinejad, SA Koohpayegani, R Andreas, ...
arXiv preprint arXiv:2406.19301, 2024
2024
Self-Supervised Learning by Compressing Representations for Lightweight Models
SA Koohpayegani
University of Maryland, Baltimore County, 2022
2022
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Artikelen 1–19