activity
20192024
most citedRGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

59 citations · 172 across the 11 of their papers we have counts for

collaborators

14 papers

cs.CV2024

Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects

Xiaoheng Jiang, Feng Yan, Yang Lu +6

Surface defect inspection plays an important role in the process of industrial manufacture and production. Though Convolutional Neural Network (CNN) based defect inspection methods…

cs.CV2024★ 2 cited

Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification

Yulin Li, Tianzhu Zhang, Yongdong Zhang

Visible-infrared person re-identification (VI-ReID) is challenging due to the significant cross-modality discrepancies between visible and infrared images. While existing methods h…

cs.CV2023★ 4 cited

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

Lingdong Kong, Yaru Niu, Shaoyuan Xie +39

Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical a…

cs.CV2023★ 5 cited

Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization

Huan Ren, Wenfei Yang, Tianzhu Zhang +1

Weakly-supervised temporal action localization aims to localize and recognize actions in untrimmed videos with only video-level category labels during training. Without instance-le…

cs.CV2023

Structured Epipolar Matcher for Local Feature Matching

Jiahao Chang, Jiahuan Yu, Tianzhu Zhang

Local feature matching is challenging due to textureless and repetitive patterns. Existing methods focus on using appearance features and global interaction and matching, while the…

cs.CV2023

Adaptive Spot-Guided Transformer for Consistent Local Feature Matching

Jiahuan Yu, Jiahao Chang, Jianfeng He +2

Local feature matching aims at finding correspondences between a pair of images. Although current detector-free methods leverage Transformer architecture to obtain an impressive pe…