| 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 | 152 | 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 | 106 | 2022 |
| Mean Shift for Self-Supervised Learning SA Koohpayegani, A Tejankar, H Pirsiavash International Conference on Computer Vision (ICCV) 2021, 2021 | 100 | 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 | 97* | 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 | 62 | 2021 |
| Compact3d: Compressing gaussian splat radiance field models with vector quantization KL Navaneet, KP Meibodi, SA Koohpayegani, H Pirsiavash arXiv preprint arXiv:2311.18159, 2023 | 28 | 2023 |
| Sima: Simple softmax-free attention for vision transformers SA Koohpayegani, H Pirsiavash Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 26 | 2024 |
| 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 | 23 | 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 | 19 | 2022 |
| Backdoor attacks on vision transformers A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash arXiv preprint arXiv:2206.08477, 2022 | 12 | 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 | 10* | |
| 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 | 8 | 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 | 7 | 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 |
| Constrained Mean Shift for Representation Learning A Tejankar, SA Koohpayegani, H Pirsiavash arXiv preprint arXiv:2110.10309, 2021 | 1 | 2021 |
| 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 |
Hamed PirsiavashAssociate Professor at University of California, DavisVerified email at ucdavis.edu
