iMiGUE
We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different […]
Beyond Vanilla Convolution
Face perception is an essential and significant problem in pattern recognition, concretely including Face Recognition (FR), Facial Expression Recognition (FER), and Race […]
Learning to detect genuine versus posed pain from facial expressions using residual generative adversarial networks
We present a novel approach based on Residual Generative Adversarial Network (R-GAN) to discriminate genuine pain expression from posed pain expression by […]
Analyze spontaneous gestures for emotional stress state recognition
Emotions are central for human intelligence and should have a similar role in AI. When it comes to emotion recognition, however, analysis […]
Face alignment
Face alignment is a crucial step in multiple face analysis and recognition tasks. The current state-of-the-art is comprised by very slow methods […]
Side Information for Face Completion
Robust principal component analysis (RPCA) is a powerful method for learning low-rank feature representation of various visual data. However, for certain types […]
Biometrics
Though biometrics is widely being used in various applications, it still faces many challenges. This article aims: i) to present an overview […]
PCANet-II
PCANet, as one noticeable shallow network, employs the histogram representation for feature pooling. However, there are three main problems about this kind […]
On the generalization of color texture-based face anti-spoofing
Despite the significant attention given to the problem of face spoofing, we still lack generalized presentation attack detection (PAD) methods performing robustly […]
Contextual weighting of patches for local matching in still-to-video face recognition
Still-to-video face recognition (FR) systems for watchlist screening seek to recognize individuals of interest given faces captured over a network of video […]