2024 | |
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers KL Navaneet*, Soroush Abbasi Koohpayegani*, Essam Sleiman*, Hamed Pirsiavash *equal contribution CVPR 2024 . [PDF][Code] | |
NOLA: Compressing LoRA using Linear Combination of Random Basis Soroush Abbasi Koohpayegani*, KL Navaneet* Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash *equal contribution ICLR 2024 . [PDF][Code] | |
SimA: Simple Softmax-free Attention for Vision Transformers Soroush Abbasi Koohpayegani, Hamed Pirsiavash WACV 2024 . [PDF][Code] | |
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks
Akshayvarun Subramanya, Soroush Abbasi Koohpayegani*, Aniruddha Saha* Ajinkya Tejankar, Hamed Pirsiavash *equal contribution WACV 2024. [PDF][Code] | |
2023 | |
Multi-Agent Lifelong Implicit Neural Learning Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash IEEE Signal Processing Letters . [PDF] | |
Compact3D: Smaller and Faster Gaussian Splatting with Vector Quantization KL Navaneet*, Kossar Pourahmadi Meibodi*, Soroush Abbasi Koohpayegani, Hamed Pirsiavash *equal contribution arXiv 2023 . [PDF][Code] | |
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani, Anuj Singh, K L Navaneet, Hadi Jamali-Rad, Hamed Pirsiavash arXiv 2023 . [PDF][Code] | |
PRANC: Pseudo RAndom Networks for Compacting deep models Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani* Kossar Pourahmadi Meibodi*, Rana Muhammad Shahroz Khan*, Soheil Kolouri, Hamed Pirsiavash ICCV 2023 . [PDF][Code] | |
2022 | |
ATS: Adaptive Token Sampling for Efficient Vision Transformers Mohsen Fayyaz*, Soroush Abbasi Koohpayegani*, Farnoush Rezaei Jafari*, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Juergen Gall *equal contribution ECCV 2022 (Oral presentation). [PDF][Code] | |
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning KL Navaneet*, Soroush Abbasi Koohpayegani*, Ajinkya Tejankar*, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash *equal contribution ECCV 2022 . [PDF][Code] | |
Backdoor Attacks on Self-Supervised Learning Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash CVPR 2022 (Oral presentation). [PDF][Code] | |
Consistent Explanations by Contrastive Learning Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash CVPR 2022 . [PDF][Code] | |
2021 | |
Mean Shift for Self-Supervised Learning Soroush Abbasi Koohpayegani*, Ajinkya Tejankar*, Hamed Pirsiavash *equal contribution ICCV 2021 (Oral presentation). [PDF][Project Page][Code] | |
ISD: Self-Supervised Learning by Iterative Similarity Distillation Ajinkya Tejankar*, Soroush Abbasi Koohpayegani*, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash *equal contribution ICCV 2021 . [PDF][Project Page][Code] | |
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation KL Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash BMVC 2021 . [PDF][Code] | |
2020 | |
CompRess: Self-Supervised Learning by Compressing Representations Soroush Abbasi Koohpayegani*, Ajinkya Tejankar*, Hamed Pirsiavash *equal contribution NeurIPS 2020. [PDF][Project Page][Code] |
Apple
Computer Vision Research Internship Summer 2022 | |
University of California, Davis
Research Assistant (Supervisor: Hamed Pirsiavash) Sep 2022 - Present | |
Microsoft
Computer Vision Research Internship Summer 2021 - Applied Sciences Group | |
University of Maryland, Baltimore County
Research Assistant (Supervisor: Hamed Pirsiavash) Aug 2019 - May 2022 | |
BasirTech
Computer Vision Research Engineer (Supervisor: Mostafa Kamali Tabrizi) May 2018 - Aug 2019 |
University of California, Davis
Ph.D. Computer Science (Aug 2022 - Present) | |
University of Maryland, Baltimore County
Master's Computer Science (Aug 2019 - Aug 2022) | |
Sharif University of Technology
B.Sc. Computer Science (Aug 2013 - Feb 2018) |