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Kossar Pourahmadi
Kossar Pourahmadi
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Compact3d: Compressing gaussian splat radiance field models with vector quantization
KL Navaneet, KP Meibodi, SA Koohpayegani, H Pirsiavash
arXiv preprint arXiv:2311.18159, 2023
182023
A simple baseline for low-budget active learning
K Pourahmadi, P Nooralinejad, H Pirsiavash
arXiv preprint arXiv:2110.12033, 2021
162021
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
62023
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
62022
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
32020
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, ...
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Artikelen 1–7