218 citations · 307 across the 5 of their papers we have counts for
5 papers
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification
Lin Wu, Lingqiao Liu, Yang Wang +3
The cross-resolution person re-identification (CRReID) problem aims to match low-resolution (LR) query identity images against high resolution (HR) gallery images. It is a challeng…
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification
Lin Wu, Yang Wang, Junbin Gao +1
Person re-identification (re-ID) requires rapid, flexible yet discriminant representations to quickly generalize to unseen observations on-the-fly and recognize the same identity a…
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
Lin Wu, Yang Wang, Ling Shao
In this paper, we propose a novel deep generative approach to cross-modal retrieval to learn hash functions in the absence of paired training samples through the cycle consistency…
Crossing Generative Adversarial Networks for Cross-View Person Re-identification
Chengyuan Zhang, Lin Wu, Yang Wang
Person re-identification (\textit{re-id}) refers to matching pedestrians across disjoint yet non-overlapping camera views. The most effective way to match these pedestrians underta…
Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification
Lin Wu, Yang Wang
Given a pedestrian image as a query, the purpose of person re-identification is to identify the correct match from a large collection of gallery images depicting the same person ca…