Hand Pose Estimation
Qi Ye, Shanxin Yuan, Tae-Kyun. Kim Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose EstimationECCV 2016
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.
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.
|Our team has three papers accepted at CVPR 2017
|Our team is co-organising BMVC 2017
|Our team has one paper accepted (poster) at ECCV 2016
|Our team is organising a
workshops on observing and understanding hands in action
|Our team is co-organising a
series of workshops on recovering 6D object pose
|Our team participates in Imperial Festival demonstrating our 3D Articulated Hand Pose Estimation method