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

News

• One paper accepted in BMVC'18 as oral presentation.
• Pytorch implementation of our AAAI'18 paper is released here.
• Released pytorch implementations of deep person reid models (link).
• Slides of our AAAI'18 presentation are available here.
• One paper accepted in AAAI'18 as oral presentation.

Publications

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

Teaching

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