Soroush Abbasi Koohpayegani

According to our database, Soroush Abbasi Koohpayegani authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MCNC: Manifold Constrained Network Compression.

Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri

CoRR, 2024

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks.

Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SimA: Simple Softmax-free Attention for Vision Transformers.

Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

NOLA: Compressing LoRA using Linear Combination of Random Basis.

Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multi-Agent Lifelong Implicit Neural Learning.

Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash

IEEE Signal Process. Lett., 2023

GeNIe: Generative Hard Negative Images Through Diffusion.

Soroush Abbasi Koohpayegani, Anuj Singh, K. L. Navaneet, Hadi Jamali Rad, Hamed Pirsiavash

CoRR, 2023

Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization.

K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

CoRR, 2023

NOLA: Networks as Linear Combination of Low Rank Random Basis.

Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

CoRR, 2023

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash

CoRR, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Backdoor Attacks on Vision Transformers.

Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 2022

SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 2022

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash

Proceedings of the Computer Vision - ECCV 2022, 2022

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, Jürgen Gall

Proceedings of the Computer Vision - ECCV 2022, 2022

Backdoor Attacks on Self-Supervised Learning.

Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Consistent Explanations by Contrastive Learning.

Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ATS: Adaptive Token Sampling For Efficient Vision Transformers.

Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall

CoRR, 2021

Constrained Mean Shift for Representation Learning.

Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

CoRR, 2021

ISD: Self-Supervised Learning by Iterative Similarity Distillation.

Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mean Shift for Self-Supervised Learning.

Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

CompRess: Self-Supervised Learning by Compressing Representations.

Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020