During natural social gatherings, humans tend to organize themselves in the so-called free-standing conversational groups. In this context, robust head and body pose estimates can...
Xavier Alameda-Pineda, Yan Yan, Elisa Ricci, Oswal...
We present joint estimation of F-formations and head, body pose of interactors in a social scene captured by surveillance cameras. Unlike prior works that have focused on (a) disc...
Human physical activity recognition based on wearable sensors has applications relevant to our daily life such as healthcare. How to achieve high recognition accuracy with low com...
Recently, deep learning techniques have enjoyed success in various multimedia applications, such as image classification and multimodal data analysis. Two key factors behind deep...
Wei Wang, Gang Chen, Tien Tuan Anh Dinh, Jinyang G...
Recent advances in free-viewpoint rendering techniques as well as the continued improvements of the internet network infrastructure open the door for challenging new applications....
Matthias Ueberheide, Felix Klose, Tilak Varisetty,...
This paper addresses the problem of image features selection for pedestrian gender recognition. Hand-crafted features (such as HOG) are compared with learned features which are ob...
Cinematic virtual reality provides an immersive visual experience by presenting omnidirectional videos of real-world scenes. A key challenge is to develop efficient representatio...
This paper presents a novel search paradigm that uses multiple images as input to perform semantic search of images. While earlier focuses on using single or multiple query images...
Face clustering is an important but challenging task since facial images always have huge variation due to change in facial expressions, head poses and partial occlusions, etc. Mo...
We present a model that automatically divides broadcast videos into coherent scenes by learning a distance measure between shots. Experiments are performed to demonstrate the eff...