Brent Yi

According to our database, Brent Yi authored at least 25 papers between 2019 and 2025.

Collaborative distances:

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

2025

Viser: Imperative, Web-based 3D Visualization in Python.

Brent Yi, Chung Min Kim, Justin Kerr, Gina Wu, Rebecca Feng, Anthony Zhang, Jonas Kulhanek, Hongsuk Choi, Yi Ma, Matthew Tancik, Angjoo Kanazawa

CoRR, July, 2025

Flow Matching Policy Gradients.

David McAllister, Songwei Ge, Brent Yi, Chung Min Kim, Ethan Weber, Hongsuk Choi, Haiwen Feng, Angjoo Kanazawa

CoRR, July, 2025

Cameras as Relative Positional Encoding.

Ruilong Li, Brent Yi, Junchen Liu, Hang Gao, Yi Ma, Angjoo Kanazawa

CoRR, July, 2025

Eye, Robot: Learning to Look to Act with a BC-RL Perception-Action Loop.

Justin Kerr, Kush Hari, Ethan Weber, Chung Min Kim, Brent Yi, Tyler Bonnen, Ken Goldberg, Angjoo Kanazawa

CoRR, June, 2025

PyRoki: A Modular Toolkit for Robot Kinematic Optimization.

Chung Min Kim, Brent Yi, Hongsuk Choi, Yi Ma, Ken Goldberg, Angjoo Kanazawa

CoRR, May, 2025

Predict-Optimize-Distill: A Self-Improving Cycle for 4D Object Understanding.

Mingxuan Wu, Huang Huang, Justin Kerr, Chung Min Kim, Anthony Zhang, Brent Yi, Angjoo Kanazawa

CoRR, April, 2025

From Simple to Complex Skills: The Case of In-Hand Object Reorientation.

Haozhi Qi, Brent Yi, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik

CoRR, January, 2025

Estimating Body and Hand Motion in an Ego-sensed World.

Brent Yi, Vickie Ye, Maya Zheng, Yunqi Li, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Reconstructing People, Places, and Cameras.

Lea Müller, Hongsuk Choi, Anthony Zhang, Brent Yi, Jitendra Malik, Angjoo Kanazawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Estimating Body and Hand Motion in an Ego-sensed World.

Brent Yi, Vickie Ye, Maya Zheng, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa

CoRR, 2024

gsplat: An Open-Source Library for Gaussian Splatting.

Vickie Ye, Ruilong Li, Justin Kerr, Matias Turkulainen, Brent Yi, Zhuoyang Pan, Otto Seiskari, Jianbo Ye, Jeffrey Hu, Matthew Tancik, Angjoo Kanazawa

CoRR, 2024

Learning Visuotactile Skills with Two Multifingered Hands.

Toru Lin, Yu Zhang, Qiyang Li, Haozhi Qi, Brent Yi, Sergey Levine, Jitendra Malik

CoRR, 2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.

Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi

CoRR, 2024

Unsupervised Learning of Structured Representation via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma

Proceedings of the Conference on Parsimony and Learning, 2024

Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction.

Justin Kerr, Chung Min Kim, Mingxuan Wu, Brent Yi, Qianqian Wang, Ken Goldberg, Angjoo Kanazawa

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Nerfstudio: A Modular Framework for Neural Radiance Field Development.

Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, David McAllister, Justin Kerr, Angjoo Kanazawa

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Incremental Learning of Structured Memory via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Canonical Factors for Hybrid Neural Fields.

Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma

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

General In-hand Object Rotation with Vision and Touch.

Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik

Proceedings of the Conference on Robot Learning, 2023

2022

Unsupervised Learning of Structured Representations via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma

CoRR, 2022

Category-Independent Articulated Object Tracking with Factor Graphs.

Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Differentiable Factor Graph Optimization for Learning Smoothers.

Brent Yi, Michelle A. Lee, Alina Kloss, Roberto Martín-Martín, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Multimodal Sensor Fusion with Differentiable Filters.

Michelle A. Lee, Brent Yi, Roberto Martín-Martín, Silvio Savarese, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation.

David V. Gealy, Stephen McKinley, Brent Yi, Philipp Wu, Phillip R. Downey, Greg Balke, Allan Zhao, Menglong Guo, Rachel Thomasson, Anthony Sinclair, Peter Cuellar, Zoe McCarthy, Pieter Abbeel

Proceedings of the International Conference on Robotics and Automation, 2019

Blue Gripper: A Robust, Low-Cost, and Force-Controlled Robot Hand.

Menglong Guo, Philipp Wu, Brent Yi, David V. Gealy, Stephen McKinley, Pieter Abbeel

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019