64 citations · 132 across the 4 of their papers we have counts for
7 papers
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild
Alexander Grabner, Yaming Wang, Peizhao Zhang +5
We present a novel 3D pose refinement approach based on differentiable rendering for objects of arbitrary categories in the wild. In contrast to previous methods, we make two main…
End-to-End Deep Kronecker-Product Matching for Person Re-identification
Yantao Shen, Tong Xiao, Hongsheng Li +2
Person re-identification aims to robustly measure similarities between person images. The significant variation of person poses and viewing angles challenges for accurate person re…
Deep Group-shuffling Random Walk for Person Re-identification
Yantao Shen, Hongsheng Li, Tong Xiao +3
Person re-identification aims at finding a person of interest in an image gallery by comparing the probe image of this person with all the gallery images. It is generally treated a…
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals
Yantao Shen, Tong Xiao, Hongsheng Li +2
Vehicle re-identification is an important problem and has many applications in video surveillance and intelligent transportation. It gains increasing attention because of the recen…
Identity-Aware Textual-Visual Matching with Latent Co-attention
Shuang Li, Tong Xiao, Hongsheng Li +2
Textual-visual matching aims at measuring similarities between sentence descriptions and images. Most existing methods tackle this problem without effectively utilizing identity-le…
Person Search with Natural Language Description
Shuang Li, Tong Xiao, Hongsheng Li +3
Searching persons in large-scale image databases with the query of natural language description has important applications in video surveillance. Existing methods mainly focused on…