5 citations · 6 across the 4 of their papers we have counts for
4 papers
Toward unlabeled multi-view 3D pedestrian detection by generalizable AI: techniques and performance analysis
João Paulo Lima, Diego Thomas, Hideaki Uchiyama +1
We unveil how generalizable AI can be used to improve multi-view 3D pedestrian detection in unlabeled target scenes. One way to increase generalization to new scenes is to automati…
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki +2
We propose a new 2D pose refinement network that learns to predict the human bias in the estimated 2D pose. There are biases in 2D pose estimations that are due to differences betw…
Real-time Simultaneous 3D Head Modeling and Facial Motion Capture with an RGB-D camera
Diego Thomas
We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera. Our proposed method is the first one to provide simultaneously comprehensive…
TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell
Hayato Onizuka, Zehra Hayirci, Diego Thomas +3
Recovering the 3D shape of a person from its 2D appearance is ill-posed due to ambiguities. Nevertheless, with the help of convolutional neural networks (CNN) and prior knowledge o…