Yong Su

Orcid: 0000-0002-6851-4142

Affiliations:
  • Tianjin Normal University, Tianjin, China


According to our database1, Yong Su authored at least 33 papers between 2017 and 2026.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2026
Unbiased Spatial-Temporal Atomic Fusion-based Zero-Shot Action Recognition.
Inf. Fusion, 2026

2025
Dual-Detector Reoptimization for Federated Weakly Supervised Video Anomaly Detection via Adaptive Dynamic Recursive Mapping.
IEEE Trans. Ind. Informatics, September, 2025

Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification.
CoRR, April, 2025

Semantic-driven dual consistency learning for weakly supervised video anomaly detection.
Pattern Recognit., 2025

Federated weakly-supervised video anomaly detection with mixture of local-to-global experts.
Inf. Fusion, 2025

Spatio-temporal graph-based self-labeling for video anomaly detection.
Neurocomputing, 2025

MeshPAD: Payload-aware mesh distortion for 3D steganography based on geometric deep learning.
Expert Syst. Appl., 2025

2024
M<sup>2</sup>AST:MLP-mixer-based adaptive spatial-temporal graph learning for human motion prediction.
Multim. Syst., August, 2024

MTAN: Multi-degree Tail-aware Attention Network for human motion prediction.
Internet Things, April, 2024

Spatio-Temporal Articulation & Coordination Co-attention Graph Network for human motion prediction.
Signal Process., 2024

VPE-WSVAD: Visual prompt exemplars for weakly-supervised video anomaly detection.
Knowl. Based Syst., 2024

Anomalies cannot materialize or vanish out of thin air: A hierarchical multiple instance learning with position-scale awareness for video anomaly detection.
Expert Syst. Appl., 2024

Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Prime: Privacy-preserving video anomaly detection via Motion Exemplar guidance.
Knowl. Based Syst., October, 2023

Energy-Based Temporal Summarized Attentive Network for Zero-Shot Action Recognition.
IEEE Trans. Multim., 2023

2022
VDSSA: Ventral & Dorsal Sequential Self-attention AutoEncoder for Cognitive-Consistency Disentanglement.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021
Bayesian Covariance Representation with Global Informative Prior for 3D Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Ventral & Dorsal Stream Theory based Zero-Shot Action Recognition.
Pattern Recognit., 2021

Geometrical Consistency Modeling on B-Spline Parameter Domain for 3D Face Reconstruction From Limited Number of Wild Images.
Frontiers Neurorobotics, 2021

Disentangling style on dynamic aligned poses for individual identification.
Ad Hoc Networks, 2021

VDARN: Video Disentangling Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition.
Ad Hoc Networks, 2021

Spatio-temporal multi-factor model for individual identification from biological motion.
Ad Hoc Networks, 2021

DVAMN: Dual Visual Attention Matching Network for Zero-Shot Action Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
An Image Cues Coding Approach for 3D Human Pose Estimation.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Cross-covariance matrix: Time-shifted correlations for 3D action recognition.
Signal Process., 2020

Spatio-temporal metric learning for individual recognition from locomotion.
J. Vis. Commun. Image Represent., 2020

2019
Riemannian Spatio-Temporal Features of Locomotion for Individual Recognition.
Sensors, 2019

Dynamic hand gesture recognition using motion pattern and shape descriptors.
Multim. Tools Appl., 2019

Spatio-Temporal Multi-Factor Discriminant Analysis for Individual Identification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Discriminative Saliency-pose-attention Covariance for Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Sequential Articulated Motion Reconstruction from a Monocular Image Sequence.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Spatio-Temporal Large Margin Nearest Neighbor (ST-LMNN) Based on Riemannian Features for Individual Identification.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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