Kossar Pourahmadi

According to our database, Kossar Pourahmadi authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MoIN: Mixture of Introvert Experts to Upcycle an LLM.

Ajinkya Tejankar, Navaneet K. L., Ujjawal Panchal, Kossar Pourahmadi, Hamed Pirsiavash

CoRR, 2024

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization.

K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

CoRR, 2023

PRANC: Pseudo RAndom Networks for Compacting deep models.

Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Simple Baseline for Low-Budget Active Learning.

Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash

CoRR, 2021

2020

TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training.

Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020