activity
20152022
most citedBayesian Joint Topic Modelling for Weakly Supervised Object Localisation

2 citations · 5 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2022

A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition

Yanling Hao, Zhiyuan Shi, Yuanwei Liu

Human Activity Recognition (HAR) has recently received remarkable attention in numerous applications such as assisted living and remote monitoring. Existing solutions based on sens…

cs.CV2022

GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi

Yanling Hao, Zhiyuan Shi, Xidong Mu +1

WiFi-based human action recognition (HAR) has been regarded as a promising solution in applications such as smart living and remote monitoring due to the pervasive and unobtrusive…

cs.NI2019

When Machine Learning Meets Big Data: A Wireless Communication Perspective

Yuanwei Liu, Suzhi Bi, Zhiyuan Shi +1

We have witnessed an exponential growth in commercial data services, which has lead to the 'big data era'. Machine learning, as one of the most promising artificial intelligence to…

cs.CV20171 cited

Weakly Supervised Image Annotation and Segmentation with Objects and Attributes

Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales +1

We propose to model complex visual scenes using a non-parametric Bayesian model learned from weakly labelled images abundant on media sharing sites such as Flickr. Given weak image…

cs.CV2017

Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images

Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang

We address the problem of localisation of objects as bounding boxes in images and videos with weak labels. This weakly supervised object localisation problem has been tackled in th…

cs.CV20171 cited

Transferring a Semantic Representation for Person Re-Identification and Search

Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang

Learning semantic attributes for person re-identification and description-based person search has gained increasing interest due to attributes' great potential as a pose and view-i…