54 citations · 96 across the 6 of their papers we have counts for
11 papers
Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers
Angel Martínez-González, Michael Villamizar, Jean-Marc Odobez
We propose to leverage Transformer architectures for non-autoregressive human motion prediction. Our approach decodes elements in parallel from a query sequence, instead of conditi…
IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines
Yihui Fu, Zhuoyuan Yao, Weipeng He +9
The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speech Challenge (ASC) is intended to improve research on keyword spotting (KWS) and sound source location (SSL)…
Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet +1
We propose to leverage recent advances in reliable 2D pose estimation with Convolutional Neural Networks (CNN) to estimate the 3D pose of people from depth images in multi-person H…
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet +1
Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction understanding as encountered for instance in HRI set…
Unsupervised Representation Learning for Gaze Estimation
Yu Yu, Jean-Marc Odobez
Although automatic gaze estimation is very important to a large variety of application areas, it is difficult to train accurate and robust gaze models, in great part due to the dif…
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet +1
We propose to combine recent Convolutional Neural Networks (CNN) models with depth imaging to obtain a reliable and fast multi-person pose estimation algorithm applicable to Human…