1 code implementation • 28 Mar 2024 • Mohsen Gholami, Mohammad Akbari, Cindy Hu, Vaden Masrani, Z. Jane Wang, Yong Zhang
Knowledge distillation from LLMs is essential for the efficient deployment of language models.
1 code implementation • 22 Dec 2023 • Mohsen Gholami, Rabab Ward, Z. Jane Wang
The objective of PoseGen is to learn a distribution of data that maximizes the prediction error of a given pre-trained model.
1 code implementation • ICCV 2023 • Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang
This is the first work that proposes transferability estimation for object detection task.
Ranked #1 on Transferability on classification benchmark
1 code implementation • Medical Image Analysis 2023 • Mohsen Gholami, Rabab Ward, Ravneet Mahal, Maryam Mirian, Kevin Yen, Kye Won Park, Martin J. McKeown, Z. Jane Wang
The method obtained state-of-the-art results on the Human3. 6M dataset.
1 code implementation • CVPR 2022 • Mohsen Gholami, Bastian Wandt, Helge Rhodin, Rabab Ward, Z. Jane Wang
To this end, we propose AdaptPose, an end-to-end framework that generates synthetic 3D human motions from a source dataset and uses them to fine-tune a 3D pose estimator.
no code implementations • 14 May 2021 • Mohsen Gholami, Ahmad Rezaei, Helge Rhodin, Rabab Ward, Z. Jane Wang
Estimating 3D human poses from video is a challenging problem.
Ranked #13 on Weakly-supervised 3D Human Pose Estimation on Human3.6M