Cong Wu

Orcid: 0000-0001-9555-9445

Affiliations:
  • Jiangnan University, School of Artificial Intelligence and Computer Science, China (PhD 2024)
  • University of Surrey, Guildford, UK (2022-2023)


According to our database1, Cong Wu authored at least 17 papers between 2019 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
I Know How You Move: Explicit Motion Estimation for Human Action Recognition.
IEEE Trans. Multim., 2025

Structural Topology Refinement Network for Skeleton-Based Action Recognition.
IEEE Trans. Instrum. Meas., 2025

Adaptive pooling with dual-stage fusion for skeleton-based action recognition.
Neural Networks, 2025

2024
Motion Complement and Temporal Multifocusing for Skeleton-Based Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Scene adaptive mechanism for action recognition.
Comput. Vis. Image Underst., January, 2024

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections.
CoRR, 2024

An Improved Graph Pooling Network for Skeleton-Based Action Recognition.
CoRR, 2024

Spatio-Temporal Domain-Aware Network for Skeleton-Based Action Representation Learning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

A Hybrid Multi-Perspective Complementary Model for Human Skeleton-Based Action Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Efficient Few-Shot Action Recognition via Multi-level Post-reasoning.
Proceedings of the Computer Vision - ECCV 2024, 2024

SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition.
CoRR, 2023

Action Probability Calibration for Efficient Naturalistic Driving Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Graph2Net: Perceptually-Enriched Graph Learning for Skeleton-Based Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2022

2021
Dynamic information enhancement for video classification.
Image Vis. Comput., 2021

The Multi-Modal Video Reasoning and Analyzing Competition.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019
Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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