1 code implementation • L4DC 2020 • Homanga Bharadhwaj, Kevin Xie, Florian Shkurti
Recent works in high-dimensional model-predictive control and model-based reinforcement learning with learned dynamics and reward models have resorted to population-based optimization methods, such as the Cross-Entropy Method (CEM), for planning a sequence of actions.
1 code implementation • 25 Sep 2020 • Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti
Effective planning in model-based reinforcement learning (MBRL) and model-predictive control (MPC) relies on the accuracy of the learned dynamics model.
no code implementations • ICLR 2021 • Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
To quickly solve new tasks in complex environments, intelligent agents need to build up reusable knowledge.
no code implementations • ICLR 2021 • Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jerome Parent-Levesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler
We consider the problem of estimating an object's physical properties such as mass, friction, and elasticity directly from video sequences.
no code implementations • 27 Apr 2021 • Umar Iqbal, Kevin Xie, Yunrong Guo, Jan Kautz, Pavlo Molchanov
We present KAMA, a 3D Keypoint Aware Mesh Articulation approach that allows us to estimate a human body mesh from the positions of 3D body keypoints.
Ranked #48 on 3D Human Pose Estimation on 3DPW
no code implementations • ICCV 2021 • Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, Florian Shkurti
By enabling learning of motion synthesis from video, our method paves the way for large-scale, realistic and diverse motion synthesis.
no code implementations • BioNLP (ACL) 2022 • Kevin Xie, Brian Litt, Dan Roth, Colin A. Ellis
A wealth of important clinical information lies untouched in the Electronic Health Record, often in the form of unstructured textual documents.
no code implementations • ICCV 2023 • Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
Text-to-3D modelling has seen exciting progress by combining generative text-to-image models with image-to-3D methods like Neural Radiance Fields.
no code implementations • ICCV 2023 • Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, Sameh Khamis
In this work, we propose a holistic framework for learning physically plausible human dynamics from real driving scenarios, narrowing the gap between real and simulated human behavior in safety-critical applications.
no code implementations • 22 Mar 2024 • Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
Recent text-to-3D generation approaches produce impressive 3D results but require time-consuming optimization that can take up to an hour per prompt.