Soroush Abbasi Koohpayegani

Orcid: 0000-0001-8023-1519

According to our database1, Soroush Abbasi Koohpayegani authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SimA: Simple Softmax-free Attention for Vision Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Multi-Agent Lifelong Implicit Neural Learning.
IEEE Signal Process. Lett., 2023

GeNIe: Generative Hard Negative Images Through Diffusion.
CoRR, 2023

Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization.
CoRR, 2023

NOLA: Networks as Linear Combination of Low Rank Random Basis.
CoRR, 2023

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers.
CoRR, 2023

PRANC: Pseudo RAndom Networks for Compacting deep models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Backdoor Attacks on Vision Transformers.
CoRR, 2022

SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.
CoRR, 2022

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Adaptive Token Sampling for Efficient Vision Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Backdoor Attacks on Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Consistent Explanations by Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
ATS: Adaptive Token Sampling For Efficient Vision Transformers.
CoRR, 2021

Constrained Mean Shift for Representation Learning.
CoRR, 2021

ISD: Self-Supervised Learning by Iterative Similarity Distillation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mean Shift for Self-Supervised Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
CompRess: Self-Supervised Learning by Compressing Representations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


  Loading...