Projects

Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition

Published in European Conference on Computer Vision (ECCV), 2018

This paper is about predicting gaze in egocentric videos by exploiting temporal context between gaze fixations.

Recommended citation: Y. Huang, M. Cai, Z. Li and Y. Sato, "Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition," European Conference on Computer Vision (ECCV oral), to appear, 2018.

Temporal localization and spatial segmentation of joint attention in multiple first-person videos

Published in IEEE International Conference on Computer Vision Workshop (ICCVW), 2017

This paper is about detecting when and where joint attention happens from multiple egocentric videos.

Recommended citation: Y. Huang, M. Cai, H. Kera, R. Yonetani, K. Higuchi, and Y. Sato, "Temporal localization and spatial segmentation of joint attention in multiple first-person videos," Proceedings of IEEE International Conference on Computer Vision Workshop (ICCVW), pp. 2313-2321, 2017.

An ego-vision system for hand grasp analysis

Published in IEEE Transactions on Human-Machine Systems (THMS), 2017

This paper is about recognition and analysis of hand grasp types from first-person view video

Recommended citation: M. Cai, K.M. Kitani, and Y. Sato, "An ego-vision system for hand grasp analysis," IEEE Transactions on Human-Machine Systems (THMS), vol. 47, no. 4, pp. 524–535, 2017.

Understanding hand-object manipulation with grasp types and object attributes

Published in Robotics: Science and Systems Conference (RSS), 2016

This paper expolores contextual relationship between grasp types and object attributes in hand manipulation activities

Recommended citation: M. Cai, K.M. Kitani, and Y. Sato, "Understanding hand-object manipulation with grasp types and object attributes," Proceedings of Robotics: Science and Systems Conference (RSS), XII.034, pp. 1-10, 2016.

A scalable approach for understanding the visual structures of hand grasps

Published in IEEE International Conference on Robotics and Automation (ICRA), 2015

This paper is about recognizing and analyzing daily hand grasp usage with a wearable camera

Recommended citation: M. Cai, K.M. Kitani, and Y. Sato, "A scalable approach for understanding the visual structures of hand grasps," Proceedings of IEEE International Conference on Robotics and Automation (ICRA), pp. 1360-1366, 2015.