Hand Pose Estimation
Qi Ye, Tae-Kyun Kim, Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network
ECCV 2018Welcome |
The Imperial Computer Vision and Learning Lab is a part of Intelligent Systems and Networks Group at Department of Electrical and Electronic Engineering of Imperial College London. We are also a part of Robotics research in the college. |
Research |
Our research interests are visual learning, recognition and perception, including 1) 3D hand pose estimation, 2) 3D object detection, 3) face recognition by image sets and videos, 4) action/gesture recognition, 5) object detection/tracking, 6) semantic segmentation, 7) novel man-machine interface. Our tutorial on Randomised Decision Forests, Boosting and Continuous Learning was the first of its kind in CV. |
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Our team is co-organising the fifth workshop on observing and understanding hands in action June 2019 |
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Our team is co-organising the fifth workshop on recovering 6D object pose June 2019 |
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Our group has multiple new opportunities for Postdocs and PhD students in Computer Vision and Machine Learning! Join us! Feb 2019 |
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The project website for our CVPR 2018 paper is online HERE! Oct 2018 |
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Our team has three papers accepted at ECCV 2018 Jul 2018 |
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Our team has one paper accepted at BMVC 2018 Jul 2018 |
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Our team has three papers accepted at CVPR 2018 Feb 2018 |
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