37 citations · 184 across the 37 of their papers we have counts for
13 papers · 1 filter
Leishmaniasis Parasite Segmentation and Classification using Deep Learning
Marc Górriz, Albert Aparicio, Berta Raventós +3
Leishmaniasis is considered a neglected disease that causes thousands of deaths annually in some tropical and subtropical countries. There are various techniques to diagnose leishm…
SMPLR: Deep SMPL reverse for 3D human pose and shape recovery
Meysam Madadi, Hugo Bertiche, Sergio Escalera
Current state-of-the-art in 3D human pose and shape recovery relies on deep neural networks and statistical morphable body models, such as the Skinned Multi-Person Linear model (SM…
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
Shifeng Zhang, Xiaobo Wang, Ajian Liu +6
Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmar…
A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition
Fatemeh Noroozi, Marina Marjanovic, Angelina Njegus +2
Every speech signal carries implicit information about the emotions, which can be extracted by speech processing methods. In this paper, we propose an algorithm for extracting feat…
LSTA: Long Short-Term Attention for Egocentric Action Recognition
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
Egocentric activity recognition is one of the most challenging tasks in video analysis. It requires a fine-grained discrimination of small objects and their manipulation. While som…
From 2D to 3D Geodesic-based Garment Matching
Meysam Madadi, Egils Avots, Sergio Escalera +3
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is ma…