Mingdong Wu

Orcid: 0009-0007-9120-4621

According to our database1, Mingdong Wu authored at least 14 papers between 2022 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation Via Diffusion Policy.
CoRR, 2024

2023
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation.
IEEE Robotics Autom. Lett., June, 2023

Distilling Functional Rearrangement Priors from Large Models.
CoRR, 2023

GenPose: Generative Category-level Object Pose Estimation via Diffusion Models.
CoRR, 2023

Learning Gradient Fields for Scalable and Generalizable Irregular Packing.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Generative Category-level Object Pose Estimation via Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GFPose: Learning 3D Human Pose Prior with Gradient Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Score-PA: Score-based 3D Part Assembly.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Pareto-Optimal Design of Litz-Wire Gapped-Core High-Frequency Transformer for LLC Converters.
IEEE Trans. Ind. Electron., 2022

Two-Dimensional Winding Loss Analytical Model for High-Frequency Multilayer Air-Core Planar Inductor.
IEEE Trans. Ind. Electron., 2022

TarGF: Learning Target Gradient Field for Object Rearrangement.
CoRR, 2022

TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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