Search Results for author: Kevin Xie

Found 14 papers, 4 papers with code

Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record

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.

Text Summarization

VideoPanda: Video Panoramic Diffusion with Multi-view Attention

no code implementations15 Apr 2025 Kevin Xie, Amirmojtaba Sabour, Jiahui Huang, Despoina Paschalidou, Greg Klar, Umar Iqbal, Sanja Fidler, Xiaohui Zeng

High resolution panoramic video content is paramount for immersive experiences in Virtual Reality, but is non-trivial to collect as it requires specialized equipment and intricate camera setups.

Video Generation

L4GM: Large 4D Gaussian Reconstruction Model

no code implementations14 Jun 2024 Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling

We present L4GM, the first 4D Large Reconstruction Model that produces animated objects from a single-view video input -- in a single feed-forward pass that takes only a second.

model

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis

no code implementations22 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.

3D Generation Text to 3D

ATT3D: Amortized Text-to-3D Object Synthesis

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.

Image to 3D Object +1

Learning Human Dynamics in Autonomous Driving Scenarios

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.

Autonomous Driving Human Dynamics

Physics-based Human Motion Estimation and Synthesis from Videos

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.

Motion Estimation Motion Synthesis +1

KAMA: 3D Keypoint Aware Body Mesh Articulation

no code implementations27 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.

3D Human Pose Estimation 3D Human Shape Estimation +1

Latent Skill Planning for Exploration and Transfer

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.

Continual Model-Based Reinforcement Learning with Hypernetworks

1 code implementation25 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.

Continual Learning model +5

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

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.

Model-based Reinforcement Learning Model Predictive Control +1

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