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- research-articleMay 2021
Efficiently Guiding Imitation Learning Agents with Human Gaze
AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent SystemsPages 1109–1117Human gaze is known to be an intention-revealing signal in human demonstrations of tasks. In this work, we use gaze cues from human demonstrators to enhance the performance of agents trained via three popular imitation learning methods --- behavioral ...
- research-articleJanuary 2018
Using context from inside‐out vision for improved activity recognition
IET Computer Vision (CVI2), Volume 12, Issue 3Pages 276–287https://doi.org/10.1049/iet-cvi.2017.0141The authors propose a method to improve activity recognition by including the contextual information from first person vision (FPV). Adding the context, i.e. objects seen while performing an activity, increases the activity recognition precision. This is ...
- ArticleDecember 2011
Analysis of human gaze interactions with texture and shape
MUSCLE'11: Proceedings of the 2011 international conference on Computational Intelligence for Multimedia UnderstandingPages 160–171https://doi.org/10.1007/978-3-642-32436-9_14Understanding of human perception of textured materials is one of the most difficult tasks of computer vision. In this paper we designed a strictly controlled psychophysical experiment with stimuli featuring different combinations of shape, illumination ...
