Jun-Ting Hsieh is an author at Stanford University specializing in engineering, deep learning, and machine vision.
Top concepts
EngineeringDeep LearningMachine VisionRobot LearningComputer ScienceMachine LearningData ScienceImage AnalysisComputer VisionPattern Recognition
Publications per year
2015–2019
5
5
Direct kinetic measurement of the reaction of the simplest Criegee intermediate with water vapor
Wen Chao, Jun-Ting Hsieh, Chun-Hung Chang et al. · Science · 2015 · 328 citations
Engineering, Water Vapor, Decay Rate +20
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh, Bingbin Liu, De-An Huang et al. · arXiv (Cornell University) · 2018 · 107 citations · Full text
Learning Neural PDE Solvers with Convergence Guarantees
Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann et al. · arXiv (Cornell University) · 2019 · 56 citations · Full text
Vision-Based Gait Analysis for Senior Care
David Y. Xue, Anin Sayana, Evan Darke et al. · arXiv (Cornell University) · 2018 · 13 citations · Full text
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