Jinlu Zhang

Orcid: 0000-0001-8142-5470

Affiliations:
  • Wuhan University, China


According to our database1, Jinlu Zhang authored at least 12 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
OwlSight: A Robust Illumination Adaptation Framework for Dark Video Human Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., April, 2026

Uni-HOI:A Unified framework for Learning the Joint distribution of Text and Human-Object Interaction.
CoRR, April, 2026

2025
OwlSight: A Robust Illumination Adaptation Framework for Dark Video Human Action Recognition.
CoRR, March, 2025

Expressive Keypoints for Skeleton-Based Action Recognition via Progressive Skeleton Evolution.
IEEE Trans. Image Process., 2025

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Human Motion Generation: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation.
CoRR, 2024

Move as you Say, Interact as you can: Language-Guided Human Motion Generation with Scene Affordance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
PHRIT: Parametric Hand Representation with Implicit Template.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A spatial attentive and temporal dilated (SATD) GCN for skeleton-based action recognition.
CAAI Trans. Intell. Technol., 2022

Uncertainty-Aware 3D Human Pose Estimation from Monocular Video.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


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