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

Pytorch implementation of our AAAI'18 paper is released here.
Released pytorch implementations of deep person reid models. Check out the page.
Slides of our AAAI'18 presentation are available here.
One paper accepted in AAAI'18.

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)

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