324 citations · 1.1k across the 26 of their papers we have counts for
11 papers · 1 filter
Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
Zitong Yu, Xiaobai Li, Jingang Shi +2
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the presentation attacks (PAs). As more and more realistic PAs with novel types spring up, it…
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
Zitong Yu, Jun Wan, Yunxiao Qin +3
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing methods heavily rely on the expert-designed networks, which may lead to a sub-optimal sol…
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
Xuesong Niu, Zitong Yu, Hu Han +3
Remote physiological measurements, e.g., remote photoplethysmography (rPPG) based heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are playin…
Face Anti-Spoofing with Human Material Perception
Zitong Yu, Xiaobai Li, Xuesong Niu +2
Face anti-spoofing (FAS) plays a vital role in securing the face recognition systems from presentation attacks. Most existing FAS methods capture various cues (e.g., texture, depth…
Micro-expression spotting: A new benchmark
Thuong-Khanh Tran, Quang-Nhat Vo, Xiaopeng Hong +2
Micro-expressions (MEs) are brief and involuntary facial expressions that occur when people are trying to hide their true feelings or conceal their emotions. Based on psychology re…
AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement with Neural Searching
Zitong Yu, Xiaobai Li, Xuesong Niu +2
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications (e.g., remote healthcare). Existing end-t…
Multi-Modal Face Anti-Spoofing Based on Central Difference Networks
Zitong Yu, Yunxiao Qin, Xiaobai Li +4
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks. Existing multi-modal FAS methods rely on stacked vanilla convolutions, w…
The 1st Challenge on Remote Physiological Signal Sensing (RePSS)
Xiaobai Li, Hu Han, Hao Lu +5
Remote measurement of physiological signals from videos is an emerging topic. The topic draws great interests, but the lack of publicly available benchmark databases and a fair val…
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Zitong Yu, Chenxu Zhao, Zezheng Wang +5
Face anti-spoofing (FAS) plays a vital role in face recognition systems. Most state-of-the-art FAS methods 1) rely on stacked convolutions and expert-designed network, which is wea…
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions
Mohammad Sabokrou, Masoud Pourreza, Xiaobai Li +2
This paper presents a novel method for remote heart rate (HR) estimation. Recent studies have proved that blood pumping by the heart is highly correlated to the intense color of fa…
Towards Reading Beyond Faces for Sparsity-Aware 4D Affect Recognition
Muzammil Behzad, Nhat Vo, Xiaobai Li +1
In this paper, we present a sparsity-aware deep network for automatic 4D facial expression recognition (FER). Given 4D data, we first propose a novel augmentation method to combat…