Fenggen Yu

Orcid: 0000-0003-1591-4668

According to our database¹, Fenggen Yu authored at least 19 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2025

CAGE-GS: High-fidelity Cage Based 3D Gaussian Splatting Deformation.

[BibT_eX]

[DOI]

CoRR, April, 2025

ARAP-GS: Drag-driven As-Rigid-As-Possible 3D Gaussian Splatting Editing with Diffusion Prior.

[BibT_eX]

[DOI]

CoRR, April, 2025

LL-Gaussian: Low-Light Scene Reconstruction and Enhancement via Gaussian Splatting for Novel View Synthesis.

[BibT_eX]

[DOI]

CoRR, April, 2025

2024

SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Coarse-to-Fine Active Segmentation of Interactable Parts in Real Scene Images.

[BibT_eX]

[DOI]

CoRR, 2023

DualCSG: Learning Dual CSG Trees for General and Compact CAD Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

D<sup>2</sup>CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

VDAC: volume decompose-and-carve for subtractive manufacturing.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

2019

PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Corrigendum to "3D shape segmentation via shape fully convolutional networks" [Computers & Graphics 70 (2018) 128-139].

[BibT_eX]

[DOI]

Comput. Graph., 2018

3D shape segmentation via shape fully convolutional networks.

[BibT_eX]

[DOI]

Comput. Graph., 2018

3D Shape Segmentation Based on Viewpoint Entropy and Projective Fully Convolutional Networks Fusing Multi-view Features.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

[BibT_eX]

[DOI]

CoRR, 2017

Fenggen Yu

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