388 citations · 2.3k across the 74 of their papers we have counts for
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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…
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
Haoyu Chen, Hao Tang, Zitong Yu +2
We present a customized 3D mesh Transformer model for the pose transfer task. As the 3D pose transfer essentially is a deformation procedure dependent on the given meshes, the intu…
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition
Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic +1
Being spontaneous, micro-expressions are useful in the inference of a person's true emotions even if an attempt is made to conceal them. Due to their short duration and low intensi…
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
Zitong Yu, Yuming Shen, Jingang Shi +3
Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applicatio…
AniFormer: Data-driven 3D Animation with Transformer
Haoyu Chen, Hao Tang, Nicu Sebe +1
We present a novel task, i.e., animating a target 3D object through the motion of a raw driving sequence. In previous works, extra auxiliary correlations between source and target…
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer
Haoyu Chen, Hao Tang, Henglin Shi +3
With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years. Existing methods mainly rely on a variety of constraints to achi…
Deep Learning for Micro-expression Recognition: A Survey
Yante Li, Jinsheng Wei, Yang Liu +2
Micro-expressions (MEs) are involuntary facial movements revealing people's hidden feelings in high-stake situations and have practical importance in medical treatment, national se…
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…
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
Ruijing Yang, Ziyu Guan, Zitong Yu +3
Automatic pain recognition is paramount for medical diagnosis and treatment. The existing works fall into three categories: assessing facial appearance changes, exploiting physiolo…
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)…
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress
Lukas Stappen, Alice Baird, Lukas Christ +6
Multimodal Sentiment Analysis (MuSe) 2021 is a challenge focusing on the tasks of sentiment and emotion, as well as physiological-emotion and emotion-based stress recognition throu…
Graph-based Facial Affect Analysis: A Review
Yang Liu, Xingming Zhang, Yante Li +3
As one of the most important affective signals, facial affect analysis (FAA) is essential for developing human-computer interaction systems. Early methods focus on extracting appea…
Hyperbolic Deep Neural Networks: A Survey
Wei Peng, Tuomas Varanka, Abdelrahman Mostafa +2
Recently, there has been a rising surge of momentum for deep representation learning in hyperbolic spaces due to theirhigh capacity of modeling data like knowledge graphs or synony…