17 citations · 44 across the 12 of their papers we have counts for
12 papers
WiFi-based Spatiotemporal Human Action Perception
Yanling Hao, Zhiyuan Shi, Yuanwei Liu
WiFi-based sensing for human activity recognition (HAR) has recently become a hot topic as it brings great benefits when compared with video-based HAR, such as eliminating the dema…
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…
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…
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…
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…
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…
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…
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation
Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang
We address the problem of localisation of objects as bounding boxes in images with weak labels. This weakly supervised object localisation problem has been tackled in the past usin…
Transfer Learning by Ranking for Weakly Supervised Object Annotation
Zhiyuan Shi, Parthipan Siva, Tao Xiang
Most existing approaches to training object detectors rely on fully supervised learning, which requires the tedious manual annotation of object location in a training set. Recently…
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences
Zhiyuan Shi, Tae-Kyun Kim
Existing RNN-based approaches for action recognition from depth sequences require either skeleton joints or hand-crafted depth features as inputs. An end-to-end manner, mapping fro…
Kinematic-Layout-aware Random Forests for Depth-based Action Recognition
Seungryul Baek, Zhiyuan Shi, Masato Kawade +1
In this paper, we tackle the problem of 24 hours-monitoring patient actions in a ward such as "stretching an arm out of the bed", "falling out of the bed", where temporal movements…
Weakly Supervised Learning of Objects, Attributes and their Associations
Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales +1
When humans describe images they tend to use combinations of nouns and adjectives, corresponding to objects and their associated attributes respectively. To generate such a descrip…