Bruce X. B. Yu

Orcid: 0000-0001-9905-8154

According to our database1, Bruce X. B. Yu authored at least 15 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Noise-robust oversampling for imbalanced data classification.
Pattern Recognit., 2023

GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video.
CoRR, 2023

Visual Tuning.
CoRR, 2023

GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Towards a Unified View on Visual Parameter-Efficient Transfer Learning.
CoRR, 2022

Prompt-Matched Semantic Segmentation.
CoRR, 2022

Conversational System for Clinical Communication Training Supporting User-defined Tasks.
Proceedings of the IEEE International Conference on Teaching, 2022

EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer's progression.
Pattern Recognit., 2021

Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Skeleton Focused Human Activity Recognition in RGB Video.
CoRR, 2020

Effective Human Activity Recognition Based on Small Datasets.
CoRR, 2020

A Survey of Sensor Modalities for Human Activity Recognition.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

2017
Discovering Knowledge by Behavioral Analytics for Elderly Care.
Proceedings of the IEEE International Conference on Big Knowledge, 2017


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