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ORCIDSoroush Abbasi Koohpayegani
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Journal Articles
- 2023
[j1]Soheil Kolouri
, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash:
Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Process. Lett. 30: 1812-1816 (2023)
Conference and Workshop Papers
- 2024
- [c14]K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash:
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers. CVPR 2024: 24786-24797 - [c13]K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization. ECCV (32) 2024: 330-349 - [c12]Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash:
NOLA: Compressing LoRA using Linear Combination of Random Basis. ICLR 2024 - [c11]Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
SimA: Simple Softmax-free Attention for Vision Transformers. WACV 2024: 2595-2605 - [c10]Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash:
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. WACV 2024: 3862-3871 - 2023
- [c9]Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash:
PRANC: Pseudo RAndom Networks for Compacting deep models. ICCV 2023: 16975-16985 - 2022
- [c8]Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash:
Consistent Explanations by Contrastive Learning. CVPR 2022: 10203-10212 - [c7]Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Backdoor Attacks on Self-Supervised Learning. CVPR 2022: 13327-13336 - [c6]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: 23-41 - [c5]Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall:
Adaptive Token Sampling for Efficient Vision Transformers. ECCV (11) 2022: 396-414 - 2021
- [c4]K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. BMVC 2021: 77 - [c3]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash:
ISD: Self-Supervised Learning by Iterative Similarity Distillation. ICCV 2021: 9589-9598 - [c2]Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Mean Shift for Self-Supervised Learning. ICCV 2021: 10306-10315 - 2020
- [c1]Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
CompRess: Self-Supervised Learning by Compressing Representations. NeurIPS 2020
Informal and Other Publications
- 2024
- [i16]Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri:
MCNC: Manifold Constrained Network Compression. CoRR abs/2406.19301 (2024) - 2023
- [i15]K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash:
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers. CoRR abs/2310.02544 (2023) - [i14]Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash:
NOLA: Networks as Linear Combination of Low Rank Random Basis. CoRR abs/2310.02556 (2023) - [i13]K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization. CoRR abs/2311.18159 (2023) - [i12]Soroush Abbasi Koohpayegani, Anuj Singh, K. L. Navaneet, Hadi Jamali Rad, Hamed Pirsiavash:
GeNIe: Generative Hard Negative Images Through Diffusion. CoRR abs/2312.02548 (2023) - 2022
- [i11]K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. CoRR abs/2201.05131 (2022) - [i10]Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Backdoor Attacks on Vision Transformers. CoRR abs/2206.08477 (2022) - [i9]Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
SimA: Simple Softmax-free Attention for Vision Transformers. CoRR abs/2206.08898 (2022) - 2021
- [i8]Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Mean Shift for Self-Supervised Learning. CoRR abs/2105.07269 (2021) - [i7]Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Backdoor Attacks on Self-Supervised Learning. CoRR abs/2105.10123 (2021) - [i6]Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash:
Consistent Explanations by Contrastive Learning. CoRR abs/2110.00527 (2021) - [i5]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Constrained Mean Shift for Representation Learning. CoRR abs/2110.10309 (2021) - [i4]Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall:
ATS: Adaptive Token Sampling For Efficient Vision Transformers. CoRR abs/2111.15667 (2021) - [i3]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 abs/2112.04607 (2021) - 2020
- [i2]Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
CompRess: Self-Supervised Learning by Compressing Representations. CoRR abs/2010.14713 (2020) - [i1]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash:
ISD: Self-Supervised Learning by Iterative Similarity Distillation. CoRR abs/2012.09259 (2020)
Coauthor Index
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