research
∙
09/07/2023
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens
Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a f...
share
research
∙
08/17/2023
Hyperbolic Face Anti-Spoofing
Learning generalized face anti-spoofing (FAS) models against presentatio...
research
∙
08/15/2023
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Facial Action Unit (AU) detection is a crucial task in affective computi...
research
∙
07/26/2023
Visual Prompt Flexible-Modal Face Anti-Spoofing
Recently, vision transformer based multimodal learning methods have been...
research
∙
06/29/2023
Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization
The rapid advancements in computer vision have stimulated remarkable pro...
research
∙
06/07/2023
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT
There is an important need for methods to reduce radiation dose and imag...
research
∙
06/04/2023
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement
Remote photoplethysmography (rPPG) is an important technique for perceiv...
research
∙
03/16/2023
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less
Face Anti-Spoofing (FAS) is recently studied under the continual learnin...
research
∙
03/10/2023
Neuron Structure Modeling for Generalizable Remote Physiological Measurement
Remote photoplethysmography (rPPG) technology has drawn increasing atten...
research
∙
03/03/2023
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT
Artificial intelligence-based methods have generated substantial interes...
research
∙
03/01/2023
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT
Deep-learning (DL)-based methods have shown significant promise in denoi...
research
∙
02/12/2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
The goal of Few-Shot Continual Learning (FSCL) is to incrementally learn...
research
∙
02/11/2023
Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing
Recently, vision transformer (ViT) based multimodal learning methods hav...
research
∙
02/11/2023
Flexible-modal Deception Detection with Audio-Visual Adapter
Detecting deception by human behaviors is vital in many fields such as c...
research
∙
02/07/2023
PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
research
∙
12/07/2022
Face Presentation Attack Detection
Face recognition technology has been widely used in daily interactive ap...
research
∙
11/30/2022
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) e...
research
∙
11/04/2022
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Developing lightweight Deep Convolutional Neural Networks (DCNNs) and Vi...
research
∙
09/05/2022
Forensicability Assessment of Questioned Images in Recapturing Detection
Recapture detection of face and document images is an important forensic...
research
∙
08/10/2022
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
Face anti-spoofing (FAS) and face forgery detection play vital roles in ...
research
∙
07/20/2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry
Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learni...
research
∙
03/03/2022
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization
Multiple objective assessment of image-quality-based studies have report...
research
∙
03/03/2022
ViTransPAD: Video Transformer using convolution and self-attention for Face Presentation Attack Detection
Face Presentation Attack Detection (PAD) is an important measure to prev...
research
∙
02/16/2022
Flexible-Modal Face Anti-Spoofing: A Benchmark
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
research
∙
12/21/2021
Review of Face Presentation Attack Detection Competitions
Face presentation attack detection (PAD) has received increasing attenti...
research
∙
12/14/2021
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
We present a customized 3D mesh Transformer model for the pose transfer ...
research
∙
11/23/2021
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
research
∙
11/12/2021
Meta-Teacher For Face Anti-Spoofing
Face anti-spoofing (FAS) secures face recognition from presentation atta...
research
∙
08/16/2021
Pixel Difference Networks for Efficient Edge Detection
Recently, deep Convolutional Neural Networks (CNNs) can achieve human-le...
research
∙
08/16/2021
3D High-Fidelity Mask Face Presentation Attack Detection Challenge
The threat of 3D masks to face recognition systems is increasingly serio...
research
∙
07/01/2021
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
We introduce a new dataset for the emotional artificial intelligence res...
research
∙
06/28/2021
Deep Learning for Face Anti-Spoofing: A Survey
Face anti-spoofing (FAS) has lately attracted increasing attention due t...
research
∙
05/18/2021
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
Automatic pain recognition is paramount for medical diagnosis and treatm...
research
∙
05/04/2021
Dual-Cross Central Difference Network for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
research
∙
04/15/2021
TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection
3D mask face presentation attack detection (PAD) plays a vital role in s...
research
∙
11/24/2020
Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
research
∙
08/10/2020
2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
To address the problem of training on small datasets for action recognit...
research
∙
07/16/2020
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
Remote physiological measurements, e.g., remote photoplethysmography (rP...
research
∙
07/04/2020
Face Anti-Spoofing with Human Material Perception
Face anti-spoofing (FAS) plays a vital role in securing the face recogni...
research
∙
04/26/2020
AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement with Neural Searching
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
research
∙
04/17/2020
Multi-Modal Face Anti-Spoofing Based on Central Difference Networks
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
research
∙
03/26/2020
The 1st Challenge on Remote Physiological Signal Sensing (RePSS)
Remote measurement of physiological signals from videos is an emerging t...
research
∙
03/18/2020
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
Face anti-spoofing is critical to the security of face recognition syste...
research
∙
03/09/2020
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in face recognition systems....
research
∙
07/27/2019
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
research
∙
05/07/2019
Recovering remote Photoplethysmograph Signal from Facial videos Using Spatio-Temporal Convolutional Networks
Recently average heart rate (HR) can be measured relatively accurately f...
research
∙
03/31/2019
