388 citations · 2.3k across the 74 of their papers we have counts for
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MVRD-Bench: Multi-View Learning and Benchmarking for Dynamic Remote Photoplethysmography under Occlusion
Zuxian He, Xu Cheng, Zhaodong Sun +4
Remote photoplethysmography (rPPG) is a non-contact technique that estimates physiological signals by analyzing subtle skin color changes in facial videos. Existing rPPG methods of…
Sorted Convolutional Network for Achieving Continuous Rotational Invariance
Hanlin Mo, Guoying Zhao
The topic of achieving rotational invariance in convolutional neural networks (CNNs) has gained considerable attention recently, as this invariance is crucial for many computer vis…
Image Moment Invariants to Rotational Motion Blur
Hanlin Mo, Hongxiang Hao, Guoying Zhao
Rotational motion blur caused by the circular motion of the camera or/and object is common in life. Identifying objects from images affected by rotational motion blur is challengin…
Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition
Jinsheng Wei, Haoyu Chen, Guanming Lu +3
Micro-expression recognition (MER) draws intensive research interest as micro-expressions (MEs) can infer genuine emotions. Prior information can guide the model to learn discrimin…
PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer
Zitong Yu, Yuming Shen, Jingang Shi +5
Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applicatio…
Advancing 3D finger knuckle recognition via deep feature learning
Kevin H. M. Cheng, Xu Cheng, Guoying Zhao
Contactless 3D finger knuckle patterns have emerged as an effective biometric identifier due to its discriminativeness, visibility from a distance, and convenience. Recent research…
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network
Hanlin Mo, Guoying Zhao
In recent years, convolutional neural network has shown good performance in many image processing and computer vision tasks. However, a standard CNN model is not invariant to image…
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
Jinsheng Wei, Wei Peng, Guanming Lu +3
Micro-expression recognition (MER) is valuable because micro-expressions (MEs) can reveal genuine emotions. Most works take image sequences as input and cannot effectively explore…
Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition
Yang Liu, Xingming Zhang, Janne Kauttonen +1
High-quality annotated images are significant to deep facial expression recognition (FER) methods. However, uncertain labels, mostly existing in large-scale public datasets, often…
Flexible-Modal Face Anti-Spoofing: A Benchmark
Zitong Yu, Ajian Liu, Chenxu Zhao +3
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks. Benefitted from the maturing camera sensors, single-modal (RGB) and mult…
Gaussian-Hermite Moment Invariants of General Multi-Channel Functions
Hanlin Mo, Hua Li, Guoying Zhao
With the development of data acquisition technology, large amounts of multi-channel data are collected and widely used in many fields. Most of them, such as RGB images and vector f…
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)…
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…