13 citations · 25 across the 6 of their papers we have counts for
6 papers
Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification
Yukang Zhang, Yang Lu, Yan Yan +2
The key of visible-infrared person re-identification (VIReID) lies in how to minimize the modality discrepancy between visible and infrared images. Existing methods mainly exploit…
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition
Xinwen Fan, Yukang Zhang, Yang Lu +1
Pedestrian attribute recognition (PAR) has received increasing attention because of its wide application in video surveillance and pedestrian analysis. Extracting robust feature re…
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification
Yukang Zhang, Yan Yan, Jie Li +1
Visible-infrared person re-identification (VI-ReID), which aims to search identities across different spectra, is a challenging task due to large cross-modality discrepancy between…
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
Yukang Zhang, Hanzi Wang
For the visible-infrared person re-identification (VIReID) task, one of the major challenges is the modality gaps between visible (VIS) and infrared (IR) images. However, the train…
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
Chao Xue, Wei Liu, Shuai Xie +25
Automated machine learning (AutoML) seeks to build ML models with minimal human effort. While considerable research has been conducted in the area of AutoML in general, aiming to t…
Exploring Invariant Representation for Visible-Infrared Person Re-Identification
Lei Tan, Yukang Zhang, Shengmei Shen +5
Cross-spectral person re-identification, which aims to associate identities to pedestrians across different spectra, faces a main challenge of the modality discrepancy. In this pap…