Jiahang Zhang

Orcid: 0000-0001-5039-8916

Affiliations:
  • Peking University, Wangxuan Institute of Computer Technology, Beijing, China


According to our database1, Jiahang Zhang authored at least 12 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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Legend:

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Online presence:

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Bibliography

2024
Mutual Information Driven Equivariant Contrastive Learning for 3D Action Representation Learning.
IEEE Trans. Image Process., 2024

S⁵Mars: Semi-Supervised Learning for Mars Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

Self-Supervised Skeleton Action Representation Learning: A Benchmark and Beyond.
CoRR, 2024

Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Discriminative and Robust Representations for UAV-View Skeleton-Based Action Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024

Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bayesian Contrastive Learning with Manifold Regularization for Self-Supervised Skeleton Based Action Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
S<sup>5</sup>Mars: Self-Supervised and Semi-Supervised Learning for Mars Segmentation.
CoRR, 2022


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