Jake Austin

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 5

Top Topics

Explanation Based Learning

Dynamic Textures

Relational Reinforcement Learning

Top Venues

SIGGRAPH (Conference Paper Track)

Publications

Qianqian Wang, Vickie Ye, Hang Gao, Jake Austin, Zhengqi Li, Angjoo Kanazawa
Shape of Motion: 4D Reconstruction from a Single Video. CoRR (2024)
Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. NeurIPS (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
Nerfstudio: A Modular Framework for Neural Radiance Field Development. CoRR (2023)
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
Nerfstudio: A Modular Framework for Neural Radiance Field Development. SIGGRAPH (Conference Paper Track) (2023)
Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. CoRR (2023)