324 citations · 1.1k across the 26 of their papers we have counts for
26 papers
Learning Unified Video and Image Representation for Video Face Forgery Detection
Haotian Liu, Yang Liu, Guoying Zhao +1
Face forgery detection is crucial for preserving the security and integrity of facial data given the rapid developments in face manipulation techniques and deep generative models.…
OmniFD: A Unified Model for Versatile Face Forgery Detection
Haotian Liu, Haoyu Chen, Chenhui Pan +3
Face forgery detection encompasses multiple critical tasks, including identifying forged images and videos and localizing manipulated regions and temporal segments. Current approac…
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals
Puneet Kumar, Xiaobai Li
This paper aims to demonstrate the importance and feasibility of fusing multimodal information for emotion recognition. It introduces a multimodal framework for emotion understandi…
Contrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast
Zhaodong Sun, Xiaobai Li
Video-based remote physiological measurement utilizes face videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised met…
Review of Face Presentation Attack Detection Competitions
Zitong Yu, Jukka Komulainen, Xiaobai Li +1
Face presentation attack detection (PAD) has received increasing attention ever since the vulnerabilities to spoofing have been widely recognized. The state of the art in unimodal…
Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks
Zhaodong Sun, Juhani Junttila, Mikko Tulppo +2
Objective: We propose a non-contact approach for atrial fibrillation (AF) detection from face videos. Methods: Face videos, electrocardiography (ECG), and contact photoplethysmogra…
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
Xin Liu, Henglin Shi, Haoyu Chen +3
We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different…
Deep Learning for Face Anti-Spoofing: A Survey
Zitong Yu, Yunxiao Qin, Xiaobai Li +3
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in securing face recognition systems from presentation attacks (PAs). As more and more real…
Dual-Cross Central Difference Network for Face Anti-Spoofing
Zitong Yu, Yunxiao Qin, Hengshuang Zhao +2
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Recently, central difference convolution (CDC) has shown its excellent representation capacity for…
TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection
Zitong Yu, Xiaobai Li, Pichao Wang +1
3D mask face presentation attack detection (PAD) plays a vital role in securing face recognition systems from emergent 3D mask attacks. Recently, remote photoplethysmography (rPPG)…
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…
Landmarks-assisted Collaborative Deep Framework for Automatic 4D Facial Expression Recognition
Muzammil Behzad, Nhat Vo, Xiaobai Li +1
We propose a novel landmarks-assisted collaborative end-to-end deep framework for automatic 4D FER. Using 4D face scan data, we calculate its various geometrical images, and afterw…
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Zitong Yu, Wei Peng, Xiaobai Li +2
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications (e.g., remote healthcare). Existing rPPG…
Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks
Zitong Yu, Xiaobai Li, Guoying Zhao
Recent studies demonstrated that the average heart rate (HR) can be measured from facial videos based on non-contact remote photoplethysmography (rPPG). However for many medical ap…