3 citations · 5 across the 5 of their papers we have counts for
4 papers · 1 filter
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation
Joy Egede, Michel Valstar, Brais Martinez
Automatic continuous time, continuous value assessment of a patient's pain from face video is highly sought after by the medical profession. Despite the recent advances in deep lea…
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 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…