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Found 11 papers, 0 papers with code
WiFi-based Spatiotemporal Human Action Perception
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 demands of line-of-sight (LOS) and preserving privacy.
A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition
Human Activity Recognition (HAR) has recently received remarkable attention in numerous applications such as assisted living and remote monitoring.
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi
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 nature of WiFi signals.
Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images
We address the problem of localisation of objects as bounding boxes in images and videos with weak labels.
Transferring a Semantic Representation for Person Re-Identification and Search
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-invariant representation.
Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation
(3) Our model can be learned with a mixture of weakly labelled and unlabelled data, allowing the large volume of unlabelled images on the Internet to be exploited for learning.
Transfer Learning by Ranking for Weakly Supervised Object Annotation
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.
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences
Our PI-based classification loss maintains a consistency between latent PI and predicted distribution.
Kinematic-Layout-aware Random Forests for Depth-based Action Recognition
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 are subtle or significant.
