488 citations · 1.6k across the 81 of their papers we have counts for
10 papers · 1 filter
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger +21
In this paper, we strive to answer two questions: What is the current state of 3D hand pose estimation from depth images? And, what are the next challenges that need to be tackled?…
Folded Recurrent Neural Networks for Future Video Prediction
Marc Oliu, Javier Selva, Sergio Escalera
Future video prediction is an ill-posed Computer Vision problem that recently received much attention. Its main challenges are the high variability in video content, the propagatio…
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
Pichao Wang, Wanqing Li, Philip Ogunbona +2
Human motion recognition is one of the most important branches of human-centered research activities. In recent years, motion recognition based on RGB-D data has attracted much att…
Learning Functional Causal Models with Generative Neural Networks
Olivier Goudet, Diviyan Kalainathan, Philippe Caillou +3
We introduce a new approach to functional causal modeling from observational data, called Causal Generative Neural Networks (CGNN). CGNN leverages the power of neural networks to l…
XBadges. Identifying and training soft skills with commercial video games
Sergio Alloza, Flavio Escribano, Sergi Delgado +2
XBadges is a research project based on the hypothesis that commercial video games (nonserious games) can train soft skills. We measure persistence, spatial reasoning and risk takin…
Automatic Recognition of Facial Displays of Unfelt Emotions
Kaustubh Kulkarni, Ciprian Adrian Corneanu, Ikechukwu Ofodile +5
Humans modify their facial expressions in order to communicate their internal states and sometimes to mislead observers regarding their true emotional states. Evidence in experimen…
WordFence: Text Detection in Natural Images with Border Awareness
Andrei Polzounov, Artsiom Ablavatski, Sergio Escalera +2
In recent years, text recognition has achieved remarkable success in recognizing scanned document text. However, word recognition in natural images is still an open problem, which…
End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data
Meysam Madadi, Sergio Escalera, Xavier Baro +1
Despite recent advances in 3D pose estimation of human hands, especially thanks to the advent of CNNs and depth cameras, this task is still far from being solved. This is mainly du…
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
Umut Güçlü, Yağmur Güçlütürk, Meysam Madadi +5
Recent years have seen a sharp increase in the number of related yet distinct advances in semantic segmentation. Here, we tackle this problem by leveraging the respective strengths…
ChaLearn Looking at People: A Review of Events and Resources
Sergio Escalera, Xavier Baró, Hugo Jair Escalante +1
This paper reviews the historic of ChaLearn Looking at People (LAP) events. We started in 2011 (with the release of the first Kinect device) to run challenges related to human acti…