34 citations · 91 across the 9 of their papers we have counts for
9 papers
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…
Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models
Shengyong Ding, Junyu Wu, Wei Xu +1
Training data are critical in face recognition systems. However, labeling a large scale face data for a particular domain is very tedious. In this paper, we propose a method to aut…
Deep Joint Face Hallucination and Recognition
Junyu Wu, Shengyong Ding, Wei Xu +1
Deep models have achieved impressive performance for face hallucination tasks. However, we observe that directly feeding the hallucinated facial images into recog- nition models ca…
DARI: Distance metric And Representation Integration for Person Verification
Guangrun Wang, Liang Lin, Shengyong Ding +2
The past decade has witnessed the rapid development of feature representation learning and distance metric learning, whereas the two steps are often discussed separately. To explor…
Deep Feature Learning with Relative Distance Comparison for Person Re-identification
Shengyong Ding, Liang Lin, Guangrun Wang +1
Identifying the same individual across different scenes is an important yet difficult task in intelligent video surveillance. Its main difficulty lies in how to preserve similarity…
Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks
Zhujin Liang, Shengyong Ding, Liang Lin
This paper investigates how to rapidly and accurately localize facial landmarks in unconstrained, cluttered environments rather than in the well segmented face images. We present a…
Special cases of the Jacobian conjecture
Vered Moskowicz
The famous Jacobian conjecture asks if a morphism having an invertible Jacobian is invertible ( is a characteristic zero field). We show that if one of the…