13 citations · 31 across the 11 of their papers we have counts for
9 papers · 1 filter
Transitive Vision-Language Prompt Learning for Domain Generalization
Liyuan Wang, Yan Jin, Zhen Chen +4
The vision-language pre-training has enabled deep models to make a huge step forward in generalizing across unseen domains. The recent learning method based on the vision-language…
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…
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
Yan Jin, Mengke Li, Yang Lu +2
Deep neural networks have made huge progress in the last few decades. However, as the real-world data often exhibits a long-tailed distribution, vanilla deep models tend to be heav…
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…