388 citations · 2.3k across the 74 of their papers we have counts for
6 papers · 1 filter
Cross-Database Micro-Expression Recognition: A Benchmark
Yuan Zong, Tong Zhang, Wenming Zheng +4
Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problem in micro-expression analysis. CDMER is more challenging than the conventiona…
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…
SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond
Wei Ke, Jie Chen, Jianbin Jiao +2
In this paper, we establish a baseline for object reflection symmetry detection in complex backgrounds by presenting a new benchmark and an end-to-end deep learning approach, openi…
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou +5
Automatic understanding of human affect using visual signals is of great importance in everyday human-machine interactions. Appraising human emotional states, behaviors and reactio…
Texture Classification in Extreme Scale Variations using GANet
Li Liu, Jie Chen, Guoying Zhao +3
Research in texture recognition often concentrates on recognizing textures with intraclass variations such as illumination, rotation, viewpoint and small scale changes. In contrast…
From BoW to CNN: Two Decades of Texture Representation for Texture Classification
Li Liu, Jie Chen, Paul Fieguth +3
Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in computer vision and pattern recognit…