241 citations · 324 across the 6 of their papers we have counts for
5 papers · 1 filter
Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification
Haijun Liu, Yanxia Chai, Xiaoheng Tan +2
In this letter, we propose a conceptually simple and effective dual-granularity triplet loss for visible-thermal person re-identification (VT-ReID). In general, ReID models are alw…
Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning
Xinzheng Zhang, Hang Su, Ce Zhang +3
Small area change detection from synthetic aperture radar (SAR) is a highly challenging task. In this paper, a robust unsupervised approach is proposed for small area change detect…
Parameter Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification
Haijun Liu, Xiaoheng Tan, Xichuan Zhou
This paper focuses on the visible-thermal cross-modality person re-identification (VT Re-ID) task, whose goal is to match person images between the daytime visible modality and the…
A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet
Xinzheng Zhang, Hang Su, Ce Zhang +4
In this research, a novel robust change detection approach is presented for imbalanced multi-temporal synthetic aperture radar (SAR) image based on deep learning. Our main contribu…
Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection
Xinzheng Zhang, Guo Liu, Ce Zhang +5
Change detection is one of the fundamental applications of synthetic aperture radar (SAR) images. However, speckle noise presented in SAR images has a much negative effect on chang…