activity
20142024
most citedComprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks

3 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG20241 cited

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders

Chuang Liu, Yuyao Wang, Yibing Zhan +4

Graph masked autoencoders (GMAE) have emerged as a significant advancement in self-supervised pre-training for graph-structured data. Previous GMAE models primarily utilize a strai…

cs.CV2024

Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging

Huafeng Li, Zhenmei Yang, Yafei Zhang +2

The reconstruction of high dynamic range (HDR) images from multi-exposure low dynamic range (LDR) images in dynamic scenes presents significant challenges, especially in preserving…

cs.HC20242 cited

Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond

Yuanyuan Liu, Ke Wang, Lin Wei +4

Affective computing, which aims to recognize, interpret, and understand human emotions, provides benefits in healthcare, such as improving patient care and enhancing doctor-patient…

cs.CV20232 cited

Chasing Consistency in Text-to-3D Generation from a Single Image

Yichen Ouyang, Wenhao Chai, Jiayi Ye +3

Text-to-3D generation from a single-view image is a popular but challenging task in 3D vision. Although numerous methods have been proposed, existing works still suffer from the in…

cs.CV2023

Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval

Huafeng Li, Shedan Yang, Yafei Zhang +2

Text-Pedestrian Image Retrieval aims to use the text describing pedestrian appearance to retrieve the corresponding pedestrian image. This task involves not only modality discrepan…

cs.CV20231 cited

Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification

Huafeng Li, Le Xu, Yafei Zhang +2

In visible-infrared video person re-identification (re-ID), extracting features not affected by complex scenes (such as modality, camera views, pedestrian pose, background, etc.) c…