Learning Neural PDE Solvers with Convergence Guarantees

no code implementations • ICLR 2019 • Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann, Lucia Mirabella, Stefano Ermon

Partial differential equations (PDEs) are widely used across the physical and computational sciences.

Vision-Based Gait Analysis for Senior Care

no code implementations • 1 Dec 2018 • David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei

As the senior population rapidly increases, it is challenging yet crucial to provide effective long-term care for seniors who live at home or in senior care facilities.

Learning to Decompose and Disentangle Representations for Video Prediction

1 code implementation • NeurIPS 2018 • Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles

Our goal is to predict future video frames given a sequence of input frames.

Disentanglement Predict Future Video Frames

Graph Distillation for Action Detection with Privileged Modalities

1 code implementation • ECCV 2018 • Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei

We propose a technique that tackles action detection in multimodal videos under a realistic and challenging condition in which only limited training data and partially observed modalities are available.

Action Classification Action Detection +1