Bin Li

Affiliations:
  • Tianjin AiForward Science and Technology Co., Ltd., China
  • Sogou Inc, China
  • Nanjing University of Science and Technology, China


According to our database1, Bin Li authored at least 13 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-Time Adaptation Framework.
Proceedings of the Computer Vision - ECCV 2024, 2024

MoML: Online Meta Adaptation for 3D Human Motion Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Fast Adaptation for Human Pose Estimation via Meta-Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models.
CoRR, 2023

Test-time Personalizable Forecasting of 3D Human Poses.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Meta-Auxiliary Learning for Adaptive Human Pose Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

2018
Human motion recovery utilizing truncated schatten <i>p</i>-norm and kinematic constraints.
Inf. Sci., 2018

2012
Human motion retrieval using topic model.
Comput. Animat. Virtual Worlds, 2012


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