433 citations · 1.8k across the 22 of their papers we have counts for
23 papers
Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identification
Lin Wu, Deyin Liu, Wenying Zhang +5
Person re-identification (re-ID) is of great importance to video surveillance systems by estimating the similarity between a pair of cross-camera person shorts. Current methods for…
Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
Lin Wu, Teng Wang, Changyin Sun
Visual place recognition is one of the essential and challenging problems in the fields of robotics. In this letter, we for the first time explore the use of multi-modal fusion of…
Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Meng Li, Lin Wu, Arnold Wiliem +3
Histopathology image analysis can be considered as a Multiple instance learning (MIL) problem, where the whole slide histopathology image (WSI) is regarded as a bag of instances (i…
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
Sam Maksoud, Arnold Wiliem, Kun Zhao +3
This work tackles the problem of generating a medical report for multi-image panels. We apply our solution to the Renal Direct Immunofluorescence (RDIF) assay which requires a path…
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Lin Wu, Richang Hong, Yang Wang +1
Person re-identification (re-ID) is a task of matching pedestrians under disjoint camera views. To recognise paired snapshots, it has to cope with large cross-view variations cause…
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification
Lin Wu, Yang Wang, Hongzhi Yin +2
Video-based person re-identification (re-ID) refers to matching people across camera views from arbitrary unaligned video footages. Existing methods rely on supervision signals to…