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Found 13 papers, 3 papers with code
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition
This paper focuses on the research of micro-expression recognition (MER) and proposes a flexible and reliable deep learning method called learning to rank onset-occurring-offset representations (LTR3O).
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Anatomically, there are innumerable correlations between AUs, which contain rich information and are vital for AU detection.
PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer
As key modules in PhysFormer, the temporal difference transformers first enhance the quasi-periodic rPPG features with temporal difference guided global attention, and then refine the local spatio-temporal representation against interference.
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation from facial videos which gives significant convenience compared with traditional contact-based measurements.
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
In this paper, we establish the first joint face spoofing and forgery detection benchmark using both visual appearance and physiological rPPG cues.
You Can Wash Better: Daily Handwashing Assessment with Smartwatches
We propose UWash, an intelligent solution upon smartwatches, to assess handwashing for the purpose of raising users' awareness and cultivating habits in high-quality handwashing.
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applications (e. g., remote healthcare and affective computing).
Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the presentation attacks (PAs).
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition
In human action recognition, current works introduce a dynamic graph generation mechanism to better capture the underlying semantic skeleton connections and thus improves the performance.
Ranked #40 on
Skeleton Based Action Recognition
on NTU RGB+D 120
Face Anti-Spoofing with Human Material Perception
In this paper we rephrase face anti-spoofing as a material recognition problem and combine it with classical human material perception [1], intending to extract discriminative and robust features for FAS.
AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement with Neural Searching
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications (e. g., remote healthcare).
Analyzing the Affect of a Group of People Using Multi-modal Framework
We fuse face, upperbody and scene information for robustness of GER against the challenging environments.
Image denoising via group sparsity residual constraint
Group sparsity has shown great potential in various low-level vision tasks (e. g, image denoising, deblurring and inpainting).
