activity
20162024
most citedPrecise Facial Landmark Detection by Reference Heatmap Transformer

77 citations · 128 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV20241 cited

CRL: Content and Context Representation Learning for Gloss-free Sign Language Translation and Retrieval

Zhigang Chen, Benjia Zhou, Yiqing Huang +6

Sign Language Representation Learning (SLRL) is crucial for a range of sign language-related downstream tasks such as Sign Language Translation (SLT) and Sign Language Retrieval (S…

cs.CV20234 cited

FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing

Ajian Liu, Zichang Tan, Zitong Yu +7

The availability of handy multi-modal (i.e., RGB-D) sensors has brought about a surge of face anti-spoofing research. However, the current multi-modal face presentation attack dete…

cs.CV20231 cited

Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results

Dong Wang, Jia Guo, Qiqi Shao +9

Face anti-spoofing (FAS) is an essential mechanism for safeguarding the integrity of automated face recognition systems. Despite substantial advancements, the generalization of exi…

cs.CV20235 cited

Surveillance Face Presentation Attack Detection Challenge

Hao Fang, Ajian Liu, Jun Wan +3

Face Anti-spoofing (FAS) is essential to secure face recognition systems from various physical attacks. However, most of the studies lacked consideration of long-distance scenarios…

cs.CV202377 cited

Precise Facial Landmark Detection by Reference Heatmap Transformer

Jun Wan, Jun Liu, Jie Zhou +5

Most facial landmark detection methods predict landmarks by mapping the input facial appearance features to landmark heatmaps and have achieved promising results. However, when the…

cs.CV20213 cited

Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network

Jun Wan, Hui Xi, Jie Zhou +4

Current fully-supervised facial landmark detection methods have progressed rapidly and achieved remarkable performance. However, they still suffer when coping with faces under larg…