9 citations · 14 across the 5 of their papers we have counts for
5 papers
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Yun He, Danhang Tang, Yinda Zhang +2
Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However,they usually suffer from two crit…
Density-preserving Deep Point Cloud Compression
Yun He, Xinlin Ren, Danhang Tang +3
Local density of point clouds is crucial for representing local details, but has been overlooked by existing point cloud compression methods. To address this, we propose a novel de…
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka, Soma Shirakabe, Yun He +14
The paper gives futuristic challenges disscussed in the cvpaper.challenge. In 2015 and 2016, we thoroughly study 1,600+ papers in several conferences/journals such as CVPR/ICCV/ECC…
Motion Representation with Acceleration Images
Hirokatsu Kataoka, Yun He, Soma Shirakabe +1
Information of time differentiation is extremely important cue for a motion representation. We have applied first-order differential velocity from a positional information, moreove…
Human Action Recognition without Human
Hirokatsu Kataoka, Kensho Hara, Yutaka Satoh
The objective of this paper is to evaluate "human action recognition without human". Motion representation is frequently discussed in human action recognition. We have examined sev…