activity
20212023
most citedCapturing and Inferring Dense Full-Body Human-Scene Contact

6 citations · 21 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CV2022

MIME: Human-Aware 3D Scene Generation

Hongwei Yi, Chun-Hao P. Huang, Shashank Tripathi +3

Generating realistic 3D worlds occupied by moving humans has many applications in games, architecture, and synthetic data creation. But generating such scenes is expensive and labo…

cs.CV2022★ 1 cited

SmartMocap: Joint Estimation of Human and Camera Motion using Uncalibrated RGB Cameras

Nitin Saini, Chun-hao P. Huang, Michael J. Black +1

Markerless human motion capture (mocap) from multiple RGB cameras is a widely studied problem. Existing methods either need calibrated cameras or calibrate them relative to a stati…

cs.CV2022★ 6 cited

Capturing and Inferring Dense Full-Body Human-Scene Contact

Chun-Hao P. Huang, Hongwei Yi, Markus Höschle +5

Inferring human-scene contact (HSC) is the first step toward understanding how humans interact with their surroundings. While detecting 2D human-object interaction (HOI) and recons…

cs.CV2022★ 5 cited

Accurate 3D Body Shape Regression using Metric and Semantic Attributes

Vasileios Choutas, Lea Muller, Chun-Hao P. Huang +3

While methods that regress 3D human meshes from images have progressed rapidly, the estimated body shapes often do not capture the true human shape. This is problematic since, for…

cs.CV2022★ 5 cited

Human-Aware Object Placement for Visual Environment Reconstruction

Hongwei Yi, Chun-Hao P. Huang, Dimitrios Tzionas +5

Humans are in constant contact with the world as they move through it and interact with it. This contact is a vital source of information for understanding 3D humans, 3D scenes, an…