Leiyang Xu

Orcid: 0000-0003-3452-047X

According to our database1, Leiyang Xu authored at least 13 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Advancing Human Motion Recognition with SkeletonCLIP++: Weighted Video Feature Integration and Enhanced Contrastive Sample Discrimination.
Sensors, February, 2024

2023
Improving Small-Scale Human Action Recognition Performance Using a 3D Heatmap Volume.
Sensors, July, 2023

An efficient framework for few-shot skeleton-based temporal action segmentation.
Comput. Vis. Image Underst., July, 2023

Skeleton-based Tai Chi action segmentation using trajectory primitives and content.
Neural Comput. Appl., May, 2023

Data Synthesizing for Specific Human Action Segmentation.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022
WiCAM: Imperceptible Adversarial Attack on Deep Learning based WiFi Sensing.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

LightSeg: An Online and Low-Latency Activity Segmentation Method for Wi-Fi Sensing.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022

Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition.
Proceedings of the IECON 2022, 2022

Temporal-spatial Feature Fusion for Few-shot Skeleton-based Action Recognition.
Proceedings of the IECON 2022, 2022

SkeletonCLIP: Recognizing Skeleton-based Human Actions with Text Prompts.
Proceedings of the 8th International Conference on Systems and Informatics, 2022

Automatic Dataset Generation for Specific Object Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020
Using Trajectory Features for Tai Chi Action Recognition.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

Training Musculoskeletal Arm Play Taichi with Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020


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