Zhiyuan Shi

According to our database, Zhiyuan Shi authored at least 10 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Performing Bayesian Network Inference Using Amortized Region Approximation with Graph Factorization.

Peng Lin, Changsheng Dou, Nannan Gu, Zhiyuan Shi, Lili Ma

Int. J. Intell. Syst., 2023

2022

Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference.

Peng Lin, Changsheng Dou, Nannan Gu, Zhiyuan Shi, Lili Ma

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

2017

Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes.

Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Learning and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences.

Zhiyuan Shi, Tae-Kyun Kim

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Weakly supervised learning of objects and attributes.

Zhiyuan Shi

PhD thesis, 2016

2015

Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images.

Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Transferring a semantic representation for person re-identification and search.

Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Weakly Supervised Learning of Objects, Attributes and Their Associations.

Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation.

Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Transfer Learning by Ranking for Weakly Supervised Object Annotation.

Zhiyuan Shi, Parthipan Siva, Tao Xiang

Proceedings of the British Machine Vision Conference, 2012