Peizhuo Li

Orcid: 0000-0001-9309-9967

According to our database1, Peizhuo Li authored at least 16 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior.
Comput. Graph. Forum, December, 2024

Neural Garment Dynamics via Manifold-Aware Transformers.
Comput. Graph. Forum, May, 2024

WalkTheDog: Cross-Morphology Motion Alignment via Phase Manifolds.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning-based Hierarchical Control: Emulating the Central Nervous System for Bio-Inspired Legged Robot Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

DecAP : Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Research on the Priority of Online Service of University Library Based on Kano Model.
Proceedings of the 2024 15th International Conference on E-business, 2024

2023
Example-based Motion Synthesis via Generative Motion Matching.
ACM Trans. Graph., August, 2023

DecAP: Decaying Action Priors for Accelerated Learning of Torque-Based Legged Locomotion Policies.
CoRR, 2023

MoDi: Unconditional Motion Synthesis from Diverse Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GANimator: neural motion synthesis from a single sequence.
ACM Trans. Graph., 2022

2021
Learning skeletal articulations with neural blend shapes.
ACM Trans. Graph., 2021

2020
Skeleton-aware networks for deep motion retargeting.
ACM Trans. Graph., 2020

Segmentation-based orbiting satellite tracking.
Proceedings of the ICMIP 2020: 5th International Conference on Multimedia and Image Processing, 2020

2019
Saliency based Semi-supervised Learning for Orbiting Satellite Tracking.
CoRR, 2019

Saliency and Tracking based Semi-supervised Learning for Orbiting Satellite Segmentation.
Proceedings of the ICVIP 2019: The 3rd International Conference on Video and Image Processing, 2019


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