324 citations · 452 across the 12 of their papers we have counts for
12 papers
An Empirical Study of Super-resolution on Low-resolution Micro-expression Recognition
Ling Zhou, Mingpei Wang, Xiaohua Huang +3
Micro-expression recognition (MER) in low-resolution (LR) scenarios presents an important and complex challenge, particularly for practical applications such as group MER in crowde…
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning
Qing Zhu, Qirong Mao, Jialin Zhang +2
Group-level emotion recognition (GER) is an inseparable part of human behavior analysis, aiming to recognize an overall emotion in a multi-person scene. However, the existing metho…
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
Qirong Mao, Ling Zhou, Wenming Zheng +2
Micro-expression recognition (\textbf{MER}) has attracted lots of researchers' attention in a decade. However, occlusion will occur for MER in real-world scenarios. This paper deep…
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
Ling Zhou, Qirong Mao, Xiaohua Huang +2
Micro-Expression Recognition has become challenging, as it is extremely difficult to extract the subtle facial changes of micro-expressions. Recently, several approaches proposed s…
Micro-expression Action Unit Detection with Spatio-temporal Adaptive Pooling
Yante Li, Xiaohua Huang, Guoying Zhao
Action Unit (AU) detection plays an important role for facial expression recognition. To the best of our knowledge, there is little research about AU analysis for micro-expressions…
A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation
Xiaohua Huang, Abhinav Dhall, Roland Goecke +2
With the progress in automatic human behavior understanding, analysing the perceived affect of multiple people has been recieved interest in affective computing community. Unlike c…
Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition
Yuan Zong, Xiaohua Huang, Wenming Zheng +2
In this paper, we investigate the cross-database micro-expression recognition problem, where the training and testing samples are from two different micro-expression databases. Und…
Analyzing the group sparsity based on the rank minimization methods
Zhiyuan Zha, Xin Liu, Xiaohua Huang +5
Sparse coding has achieved a great success in various image processing studies. However, there is not any benchmark to measure the sparsity of image patch/group because sparse disc…
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…
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…
Spontaneous Facial Micro-Expression Recognition using Discriminative Spatiotemporal Local Binary Pattern with an Improved Integral Projection
Xiaohua Huang, Sujing Wang, Xin Liu +3
Recently, there are increasing interests in inferring mirco-expression from facial image sequences. Due to subtle facial movement of micro-expressions, feature extraction has becom…
Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods
Xiaobai Li, Xiaopeng Hong, Antti Moilanen +4
Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions that people do not intend to show. Studying MEs is valuable as recognizing them has many imp…