3 citations · 5 across the 4 of their papers we have counts for
4 papers
AMPose: Alternately Mixed Global-Local Attention Model for 3D Human Pose Estimation
Hongxin Lin, Yunwei Chiu, Peiyuan Wu
The graph convolutional networks (GCNs) have been applied to model the physically connected and non-local relations among human joints for 3D human pose estimation (HPE). In additi…
Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis
Zelin Xiao, Hongxin Lin, Renjie Li +2
In this paper, we propose a simple yet effective method to endow deep 3D models with rotation invariance by expressing the coordinates in an intrinsic frame determined by the objec…
Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables
Hongxin Lin, Zelin Xiao, Yang Tan +2
Deep models are capable of fitting complex high dimensional functions while usually yielding large computation load. There is no way to speed up the inference process by classical…
Face Recognition from Sequential Sparse 3D Data via Deep Registration
Yang Tan, Hongxin Lin, Zelin Xiao +2
Previous works have shown that face recognition with high accurate 3D data is more reliable and insensitive to pose and illumination variations. Recently, low-cost and portable 3D…