Kaiyang Zhou

PhD Student
Vision Group, School of EECS
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.



Video Summarisation by Classification with Deep Reinforcement Learning.
Kaiyang Zhou, Tao Xiang, Andrea Cavallaro.
British Machine Vision Conference (BMVC), Newcastle upon Tyne, UK, 2018. (Oral)
paper slides

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward.
Kaiyang Zhou, Yu Qiao, Tao Xiang.
AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Lousiana, 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), Nagoya, Japan, 2017.
paper Matlab code


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