most citedLong-term Human Motion Prediction with Scene Context

8 citations · 13 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2021

ContactOpt: Optimizing Contact to Improve Grasps

Patrick Grady, Chengcheng Tang, Christopher D. Twigg +3

Physical contact between hands and objects plays a critical role in human grasps. We show that optimizing the pose of a hand to achieve expected contact with an object can improve…

cs.CV2020

ANR: Articulated Neural Rendering for Virtual Avatars

Amit Raj, Julian Tanke, James Hays +3

The combination of traditional rendering with neural networks in Deferred Neural Rendering (DNR) provides a compelling balance between computational complexity and realism of the r…

cs.CV20205 cited

TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video

Tiancheng Zhi, Christoph Lassner, Tony Tung +3

We present TexMesh, a novel approach to reconstruct detailed human meshes with high-resolution full-body texture from RGB-D video. TexMesh enables high quality free-viewpoint rende…

cs.CV20208 cited

Long-term Human Motion Prediction with Scene Context

Zhe Cao, Hang Gao, Karttikeya Mangalam +3

Human movement is goal-directed and influenced by the spatial layout of the objects in the scene. To plan future human motion, it is crucial to perceive the environment -- imagine…

cs.CV2020

Spatiotemporal Bundle Adjustment for Dynamic 3D Human Reconstruction in the Wild

Minh Vo, Yaser Sheikh, Srinivasa G. Narasimhan

Bundle adjustment jointly optimizes camera intrinsics and extrinsics and 3D point triangulation to reconstruct a static scene. The triangulation constraint, however, is invalid for…

cs.CV2020

4D Visualization of Dynamic Events from Unconstrained Multi-View Videos

Aayush Bansal, Minh Vo, Yaser Sheikh +2

We present a data-driven approach for 4D space-time visualization of dynamic events from videos captured by hand-held multiple cameras. Key to our approach is the use of self-super…