activity
20172022
most citedEnsembles of Deep LSTM Learners for Activity Recognition using Wearables

520 citations · 796 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 17 cited

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…

cs.CV2020★ 21 cited

Query Twice: Dual Mixture Attention Meta Learning for Video Summarization

Junyan Wang, Yang Bai, Yang Long +4

Video summarization aims to select representative frames to retain high-level information, which is usually solved by predicting the segment-wise importance score via a softmax fun…

cs.LG2020★ 23 cited

Fatigue Assessment using ECG and Actigraphy Sensors

Yang Bai, Yu Guan, Wan-Fai Ng

Fatigue is one of the key factors in the loss of work efficiency and health-related quality of life, and most fatigue assessment methods were based on self-reporting, which may suf…

cs.CV2020★ 7 cited

SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting

Haoran Duan, Shidong Wang, Yu Guan

Automated crowd counting from images/videos has attracted more attention in recent years because of its wide application in smart cities. But modelling the dense crowd heads is cha…

cs.CV2020★ 135 cited

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…