Soroush Abbasi Koohpayegani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 29

Top Topics

Vector Quantization

Supervised Learning

Linear Combination

Digital Image Watermarking

Top Venues

Publications

Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri
MCNC: Manifold Constrained Network Compression. CoRR (2024)
Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. WACV (2024)
Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
NOLA: Compressing LoRA using Linear Combination of Random Basis. ICLR (2024)
Soroush Abbasi Koohpayegani, Hamed Pirsiavash
SimA: Simple Softmax-free Attention for Vision Transformers. WACV (2024)
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 (2023)
Soroush Abbasi Koohpayegani, Anuj Singh, K. L. Navaneet, Hadi Jamali Rad, Hamed Pirsiavash
GeNIe: Generative Hard Negative Images Through Diffusion. CoRR (2023)
KL Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization. CoRR (2023)
Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash
Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Process. Lett. 30 (2023)
Soroush Abbasi Koohpayegani, KL Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
NOLA: Networks as Linear Combination of Low Rank Random Basis. CoRR (2023)
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)
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)
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)
Soroush Abbasi Koohpayegani, Hamed Pirsiavash
SimA: Simple Softmax-free Attention for Vision Transformers. CoRR (2022)
Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash
Consistent Explanations by Contrastive 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)
Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash
Consistent Explanations by Contrastive Learning. CoRR (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)
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)
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 (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)