Qi Ye

I am currently a Ph.D. student at Imperial Computer Vision and Learning Lab of Imperial College London, under the supervision of Tae-Kyun Kim. I obtained my Master degree from School of Information Science and Technology of Tsinghua University in 2014 and Bachelor degree from College of Information Science and Technology of Beijing Normal University in 2011. I am interested in computer vision and machine learning. My current research topic is 3D hand pose estimation. Here is my CV.


2019/01 I join the Human Understanding team of Microsoft at Cambridge, working with a group of excellent people!

2018/06 Talk on 3D Hand Pose Estimation Using Convolutional Neural Network at Cambridge, Microsoft.

D. Tang*, Q. Ye*, S. Yuan, J. Taylor, P. Kohli, C. Keskin, T-K Kim, J. Shotton. Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation. TPAMI accepted. (* indicates equal contribution)

Q. YeT-K Kim. Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network. ECCV2018 oral

S. Yuan,  Q.  Ye, Bjorn Stenger, S. Jain, T-K Kim. BigHand2.2M Benchmark: Hand Pose DataSet and State of the Art Analysis, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017.

Q. Ye, S. Yuan, T-K. Kim. Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation, Proc. of European Conf. on Computer Vision (ECCV), Amsterdam, Netherlands, 2016. 

Qi Ye, Youbin Chen, Bin Zhu, The Robustness of a New 3D CAPTCHA, 2014 11th IAPR International Workshop on Document Analysis Systems (DAS) (2014), vol. 00, no. , pp. 319-323, 2014, doi:10.1109/DAS.2014.31


q.ye14 'at' imperial.ac.uk
Room 1008d, Computer Vision and Learning Lab
Department of Electrical and Electronic Engineering
Imperial College London
Main Campus (South Kensington)
London, SW7 2BT, UK