activity
20162024
most citedPhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer

6 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

DiffFAS: Face Anti-Spoofing via Generative Diffusion Models

Xinxu Ge, Xin Liu, Zitong Yu +4

Face anti-spoofing (FAS) plays a vital role in preventing face recognition (FR) systems from presentation attacks. Nowadays, FAS systems face the challenge of domain shift, impacti…

cs.CV20232 cited

Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition

Jie Zhu, Yuan Zong, Jingang Shi +3

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 re…

cs.CV20231 cited

Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection

Xin Liu, Kaishen Yuan, Xuesong Niu +4

Facial Action Unit (AU) detection is a crucial task in affective computing and social robotics as it helps to identify emotions expressed through facial expressions. Anatomically,…

cs.CV20236 cited

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…

cs.CV20163 cited

Analyzing the Affect of a Group of People Using Multi-modal Framework

Xiaohua Huang, Abhinav Dhall, Xin Liu +4

Millions of images on the web enable us to explore images from social events such as a family party, thus it is of interest to understand and model the affect exhibited by a group…

cs.CV20163 cited

Image denoising via group sparsity residual constraint

Zhiyuan Zha, Xin Liu, Ziheng Zhou +7

Group sparsity has shown great potential in various low-level vision tasks (e.g, image denoising, deblurring and inpainting). In this paper, we propose a new prior model for image…