| A simple baseline for low-budget active learning K Pourahmadi, P Nooralinejad, H Pirsiavash arXiv preprint arXiv:2110.12033, 2021 | 14 | 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 | 11 | 2023 |
| 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 | 6 | 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 |
| TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training R Hojabr, K Givaki, K Pourahmadi, P Nooralinejad, A Khonsari, ... 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020 | 3 | 2020 |
| TAXONN: A LIGHT-WEIGHT ACCELERATOR FOR TRAINING DEEP NEURAL NETWORKS ON THE EDGE M Najaf, R Hojabr, K Givaki, K Pourahmadi, P Nooralinejad, A Khonsari, ... US Patent App. 17/961,396, 2024 | | 2024 |
| Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning: Supplementary Material KL Navaneet, SA Koohpayegani, A Tejankar, K Pourahmadi, ... | | |
Hamed PirsiavashAssociate Professor at University of California, DavisVerified email at ucdavis.edu
