activity
20162024
most citedCP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy

10 citations · 22 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.CV20231 cited

Boundary-Aware Proposal Generation Method for Temporal Action Localization

Hao Zhang, Chunyan Feng, Jiahui Yang +2

The goal of Temporal Action Localization (TAL) is to find the categories and temporal boundaries of actions in an untrimmed video. Most TAL methods rely heavily on action recogniti…

cs.CV20223 cited

Denoising Diffusion Probabilistic Models for Styled Walking Synthesis

Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang +1

Generating realistic motions for digital humans is time-consuming for many graphics applications. Data-driven motion synthesis approaches have seen solid progress in recent years t…

cs.CV202210 cited

CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy

Haozheng Zhang, Edmond S. L. Ho, Hubert P. H. Shum

Early prediction is clinically considered one of the essential parts of cerebral palsy (CP) treatment. We propose to implement a low-cost and interpretable classification system fo…

cs.CV20224 cited

Gated Domain-Invariant Feature Disentanglement for Domain Generalizable Object Detection

Haozhuo Zhang, Huimin Yu, Yuming Yan +1

For Domain Generalizable Object Detection (DGOD), Disentangled Representation Learning (DRL) helps a lot by explicitly disentangling Domain-Invariant Representations (DIR) from Dom…

cs.CV20171 cited

Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors

Fei Han, Xue Yang, Christopher Reardon +2

Robot awareness of human actions is an essential research problem in robotics with many important real-world applications, including human-robot collaboration and teaming. Over the…

cs.CV2016

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking

Xue Yang, Fei Han, Hua Wang +1

Sparse representation has been widely studied in visual tracking, which has shown promising tracking performance. Despite a lot of progress, the visual tracking problem is still a…