1.1k citations · 2.3k across the 13 of their papers we have counts for
3 papers · 1 filter
Learning Multi-Human Optical Flow
Anurag Ranjan, David T. Hoffmann, Dimitrios Tzionas +3
The optical flow of humans is well known to be useful for the analysis of human action. Recent optical flow methods focus on training deep networks to approach the problem. However…
FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second
David Smith, Matthew Loper, Xiaochen Hu +2
Current methods for body shape estimation either lack detail or require many images. They are usually architecturally complex and computationally expensive. We propose FACSIMILE (F…
Efficient Learning on Point Clouds with Basis Point Sets
Sergey Prokudin, Christoph Lassner, Javier Romero
With the increased availability of 3D scanning technology, point clouds are moving into the focus of computer vision as a rich representation of everyday scenes. However, they are…