16
Publications
1.1K
Citations
14
H-Index
2016
Active since
Affiliations
Gengshan Yang is an author at Carnegie Mellon University specializing in engineering, computer vision, and image analysis.
Top concepts
EngineeringComputer VisionImage AnalysisMachine VisionDeep LearningGeometry ModelingComputational GeometryRobot LearningComputer ScienceNatural Sciences
Publications per year
2016–2023
16
16
Hierarchical Deep Stereo Matching on High-Resolution Images
Gengshan Yang, Joshua Manela, Michael Happold et al. · 2019 · 267 citations
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion
Gengshan Yang, Deva Ramanan · 2020 · 83 citations
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Gengshan Yang, Deqing Sun, Varun Jampani et al. · 2021 · 72 citations
Rows per page
1–5 of 16