Xuehao Gao

Orcid: 0000-0003-3168-5770

According to our database1, Xuehao Gao authored at least 14 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
GUESS: GradUally Enriching SyntheSis for Text-Driven Human Motion Generation.
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

Path-Guided Motion Prediction with Multi-view Scene Perception.
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

Using Rotation-Invariant Point and Line Features for Image Matching.
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
Motion Guided Attention Learning for Self-Supervised 3D Human Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2022

2020
Contrastive Self-Supervised Learning for Skeleton Action Recognition.
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020


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