Kaiyang Zhou

PhD Student
Vision Group (CS329, Peter Landin Building)
School of Electronic Engineering and Computer Science
Queen Mary University of London
Mile End Road, London, E1 4NS
Email: k dot surname at qmul dot ac dot uk
Github / Google Scholar

Bio: I am currently a PhD student (2017 - present) at QMUL Vision Group, supervised by Tao Xiang.

News

Publications

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward.
Kaiyang Zhou, Yu Qiao, Tao Xiang.
AAAI Conference on Artificial Intelligence (AAAI), 2018. (Oral)
paper Theano code Pytorch code slides

Detecting Humans in RGB-D Data with CNNs.
Kaiyang Zhou, Adeline Paiement, Majid Mirmehdi.
IAPR International Conference on Machine Vision Applications (MVA), 2017.
paper Matlab code poster

Teaching

TA, School of EECS, QMUL
- ECS797 Machine Learning for Visual Data Analysis (Spring 2018)
- ECS708 Machine Learning (Fall 2017)