Soroush Abbasi Koohpayegani

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Hamed PirsiavashAssociate Professor at University of California, DavisGeverifieerd e-mailadres voor ucdavis.edu
Ajinkya TejankarPhD student at UC DavisGeverifieerd e-mailadres voor ucdavis.edu
K L NavaneetUniversity of California, DavisGeverifieerd e-mailadres voor ucdavis.edu
Mohsen FayyazMicrosoftGeverifieerd e-mailadres voor microsoft.com
Eric SommerladeUniversity of OxfordGeverifieerd e-mailadres voor robots.ox.ac.uk
Aniruddha SahaGeverifieerd e-mailadres voor umbc.edu
Hamid Reza Vaezi JozeStaff Applied Research Scientist at MetaGeverifieerd e-mailadres voor fb.com
Juergen GallUniversity of BonnGeverifieerd e-mailadres voor iai.uni-bonn.de
Farnoush Rezaei-JafariTechnical University of BerlinGeverifieerd e-mailadres voor campus.tu-berlin.de
Sunando SenguptaMicrosoftGeverifieerd e-mailadres voor microsoft.com
Soheil KolouriComputer Science, Vanderbilt University, Nashville, TNGeverifieerd e-mailadres voor vanderbilt.edu
Parsa NooralinejadUniversity of California, DavisGeverifieerd e-mailadres voor ucdavis.edu
Vipin PillaiApplied Scientist, AmazonGeverifieerd e-mailadres voor amazon.com
Akshayvarun SubramanyaPh.D student at University of Maryland, Baltimore CountyGeverifieerd e-mailadres voor umbc.edu
Paolo FavaroProfessor of Computer Vision, University of BernGeverifieerd e-mailadres voor iam.unibe.ch
Ali AbbasiCS Ph.D. Candidate, Vanderbilt UniversityGeverifieerd e-mailadres voor vanderbilt.edu
Kossar PourahmadiPhD Student, University of California, DavisGeverifieerd e-mailadres voor ucdavis.edu
Essam SleimanHarvard UniversityGeverifieerd e-mailadres voor g.harvard.edu

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Soroush Abbasi Koohpayegani

PhD Student at University of California, Davis

Geverifieerd e-mailadres voor ucdavis.edu - Homepage

Computer Vision Machine Learning Deep Learning


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Adaptive token sampling for efficient vision transformers M Fayyaz, SA Koohpayegani, FR Jafari, S Sengupta, HRV Joze, ... European Conference on Computer Vision, 396-414, 2022	126	2022
Backdoor attacks on self-supervised learning A Saha, A Tejankar, SA Koohpayegani, H Pirsiavash Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	94	2022
Mean Shift for Self-Supervised Learning SA Koohpayegani, A Tejankar, H Pirsiavash International Conference on Computer Vision (ICCV) 2021, 2021	92	2021
Compress: Self-supervised learning by compressing representations SA Koohpayegani, A Tejankar, H Pirsiavash Advances in Neural Information Processing Systems (NeurIPS) 2020 33, 12980 …, 2020	89*	2020
ISD: Self-supervised learning by iterative similarity distillation A Tejankar, SA Koohpayegani, V Pillai, P Favaro, H Pirsiavash International Conference on Computer Vision (ICCV) 2021, 9609-9618, 2021	57	2021
Sima: Simple softmax-free attention for vision transformers SA Koohpayegani, H Pirsiavash Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024	21	2024
Compact3d: Compressing gaussian splat radiance field models with vector quantization KL Navaneet, KP Meibodi, SA Koohpayegani, H Pirsiavash arXiv preprint arXiv:2311.18159, 2023	18	2023
Consistent explanations by contrastive learning V Pillai, SA Koohpayegani, A Ouligian, D Fong, H Pirsiavash Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	18	2022
Simreg: Regression as a simple yet effective tool for self-supervised knowledge distillation KL Navaneet, SA Koohpayegani, A Tejankar, H Pirsiavash arXiv preprint arXiv:2201.05131, 2022	17	2022
Backdoor attacks on vision transformers A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash arXiv preprint arXiv:2206.08477, 2022	9	2022
NOLA: Compressing LoRA using Linear Combination of Random Basis SA Koohpayegani, KL Navaneet, P Nooralinejad, S Kolouri, H Pirsiavash The Twelfth International Conference on Learning Representations, 0	9*
Pranc: Pseudo random networks for compacting deep models P Nooralinejad, A Abbasi, SA Koohpayegani, KP Meibodi, RMS Khan, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	7	2023
Constrained mean shift using distant yet related neighbors for representation learning KL Navaneet, S Abbasi Koohpayegani, A Tejankar, K Pourahmadi, ... European Conference on Computer Vision, 23-41, 2022	6	2022
Adaptive Token Sampling for Efficient Transformer M Fayyaz, SA KOOHPAYEGANI, ECW Sommerlade, HV JOZE US Patent App. 17/525,908, 2023	2	2023
GeNIe: Generative Hard Negative Images Through Diffusion SA Koohpayegani, A Singh, KL Navaneet, H Jamali-Rad, H Pirsiavash arXiv preprint arXiv:2312.02548, 2023	1	2023
Multi-agent lifelong implicit neural learning S Kolouri, A Abbasi, SA Koohpayegani, P Nooralinejad, H Pirsiavash IEEE Signal Processing Letters, 2023	1	2023
MCNC: Manifold Constrained Network Compression C Thrash, A Abbasi, P Nooralinejad, SA Koohpayegani, R Andreas, ... arXiv preprint arXiv:2406.19301, 2024		2024
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers KL Navaneet, SA Koohpayegani, E Sleiman, H Pirsiavash Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024		2024
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks A Subramanya, SA Koohpayegani, A Saha, A Tejankar, H Pirsiavash Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024		2024
GeNIe: Generative Hard Negative Images Through Diffusion S Abbasi Koohpayegani, A Singh, KL Navaneet, H Jamali-Rad, ... arXiv e-prints, arXiv: 2312.02548, 2023		2023

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