1.7k citations · 4.3k across the 64 of their papers we have counts for
65 papers
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…
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search
Benzhi Wang, Yang Yang, Jinlin Wu +2
Weakly supervised person search aims to jointly detect and match persons with only bounding box annotations. Existing approaches typically focus on improving the features by explor…
Surveillance Face Anti-spoofing
Hao Fang, Ajian Liu, Jun Wan +5
Face Anti-spoofing (FAS) is essential to secure face recognition systems from various physical attacks. However, recent research generally focuses on short-distance applications (i…
Face Presentation Attack Detection
Zitong Yu, Chenxu Zhao, Zhen Lei
Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment due to its convenience and high accuracy. However, its vul…
Weakly Aligned Feature Fusion for Multimodal Object Detection
Lu Zhang, Zhiyong Liu, Xiangyu Zhu +4
To achieve accurate and robust object detection in the real-world scenario, various forms of images are incorporated, such as color, thermal, and depth. However, multimodal data of…
Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape
Xiangyu Zhu, Chang Yu, Di Huang +3
3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitud…