Search Results for author: Kamyar Salahi

Found 3 papers, 2 papers with code

Nerfstudio: A Modular Framework for Neural Radiance Field Development

2 code implementations8 Feb 2023 Matthew Tancik, Ethan Weber, Evonne Ng, RuiLong Li, Brent Yi, Justin Kerr, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, David McAllister, Angjoo Kanazawa

Neural Radiance Fields (NeRF) are a rapidly growing area of research with wide-ranging applications in computer vision, graphics, robotics, and more.

Rethinking Vision Transformers for MobileNet Size and Speed

6 code implementations ICCV 2023 Yanyu Li, Ju Hu, Yang Wen, Georgios Evangelidis, Kamyar Salahi, Yanzhi Wang, Sergey Tulyakov, Jian Ren

With the success of Vision Transformers (ViTs) in computer vision tasks, recent arts try to optimize the performance and complexity of ViTs to enable efficient deployment on mobile devices.

Minimax Active Learning

no code implementations18 Dec 2020 Sayna Ebrahimi, William Gan, Dian Chen, Giscard Biamby, Kamyar Salahi, Michael Laielli, Shizhan Zhu, Trevor Darrell

Active learning aims to develop label-efficient algorithms by querying the most representative samples to be labeled by a human annotator.

Active Learning Clustering +2

Cannot find the paper you are looking for? You can Submit a new open access paper.