In this paper, we propose a new method, video repairing, to robustly infer missing static background and moving foreground due to severe damage or occlusion from a video. To recov...
Jiaya Jia, Tai-Pang Wu, Yu-Wing Tai, Chi-Keung Tan...
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
Human interfaces for computer graphics systems are now evolving towards a total multi-modal approach. Information gathered using visual, audio and motion capture systems are now b...
Taro Goto, Marc Escher, Christian Zanardi, Nadia M...
— A novel approach is presented which aims at building autonomously visual models of unknown objects, using a humanoid robot. Although good methods have been proposed for the spe...