Xuehao Gao
Orcid: 0000-0003-3168-5770
According to our database1,
Xuehao Gao
authored at least 14 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Vis. Comput. Graph., December, 2024
Learning Heterogeneous Spatial-Temporal Context for Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction.
IEEE Trans. Image Process., 2024
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Dig into Detailed Structures: Key Context Encoding and Semantic-based Decoding for Point Cloud Completion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Lightweight Graph Convolutional Network For Efficient Skeleton Based Action Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024
Full-Dimensional Optimizable Network: A Channel, Frame and Joint-Specific Network Modeling for Skeleton-Based Action Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024
Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition.
Neural Networks, October, 2023
Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition.
IEEE Trans. Multim., 2023
Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
2020
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020