135 citations · 300 across the 8 of their papers we have counts for
8 papers
Audio-Adaptive Activity Recognition Across Video Domains
Yunhua Zhang, Hazel Doughty, Ling Shao +1
This paper strives for activity recognition under domain shift, for example caused by change of scenery or camera viewpoint. The leading approaches reduce the shift in activity app…
High-resolution Iterative Feedback Network for Camouflaged Object Detection
Xiaobin Hu, Shuo Wang, Xuebin Qin +5
Spotting camouflaged objects that are visually assimilated into the background is tricky for both object detection algorithms and humans who are usually confused or cheated by the…
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
Jiale Li, Hang Dai, Ling Shao +1
Most of the existing single-stage and two-stage 3D object detectors are anchor-based methods, while the efficient but challenging anchor-free single-stage 3D object detection is no…
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization
Shidong Wang, Yi Ren, Gerard Parr +2
Learning discriminative and invariant feature representation is the key to visual image categorization. In this article, we propose a novel invariant deep compressible covariance p…
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
S. Wang, Y. Guan, L. Shao
Recognising remote sensing scene images remains challenging due to large visual-semantic discrepancies. These mainly arise due to the lack of detailed annotations that can be emplo…
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
Lin Wu, Yang Wang, Ling Shao +1
In this paper, we introduce a global video representation to video-based person re-identification (re-ID) that aggregates local 3D features across the entire video extent. Most of…
An Algorithm for Repairing Low-Quality Video Enhancement Techniques Based on Trained Filter
Lijun Wang, Ling Shao
Multifarious image enhancement algorithms have been used in different applications. Still, some algorithms or modules are imperfect for practical use. When the image enhancement mo…
Dynamic Feature Description in Human Action Recognition
Ruoyun Gao, Michael S. Lew, Ling Shao
This work aims to present novel description methods for human action recognition. Generally, a video sequence can be represented as a collection of spatial temporal words by detect…