109 citations · 245 across the 24 of their papers we have counts for
5 papers · 1 filter
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data
Shashank Jaiswal, Michel Valstar, Alinda Gillott +1
Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) are neurodevelopmental conditions which impact on a significant number of children and adults. Cu…
A Functional Regression approach to Facial Landmark Tracking
Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martinez +2
Linear regression is a fundamental building block in many face detection and tracking algorithms, typically used to predict shape displacements from image features through a linear…
A CNN Cascade for Landmark Guided Semantic Part Segmentation
Aaron Jackson, Michel Valstar, Georgios Tzimiropoulos
This paper proposes a CNN cascade for semantic part segmentation guided by pose-specific information encoded in terms of a set of landmarks (or keypoints). There is large amount of…
Cascaded Continuous Regression for Real-time Incremental Face Tracking
Enrique Sánchez-Lozano, Brais Martinez, Georgios Tzimiropoulos +1
This paper introduces a novel real-time algorithm for facial landmark tracking. Compared to detection, tracking has both additional challenges and opportunities. Arguably the most…
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge
Michel Valstar, Jonathan Gratch, Bjorn Schuller +7
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and mach…