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20162024
most citedPrecise Facial Landmark Detection by Reference Heatmap Transformer

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

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Showing 2023Show all

5 papers · 1 filter

cs.CR20231 cited

Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning

Hanshen Xiao, Jun Wan, Srinivas Devadas

We study the fundamental problem of the construction of optimal randomization in Differential Privacy. Depending on the clipping strategy or additional properties of the processing…

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…