Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. - Li Yi 001; Lin Shao 002; Manolis Savva; Haibin Huang; Yang Zhou 009; Qirui Wang; Benjamin Graham; Martin Engelcke; Roman Klokov; Victor S. Lempitsky; Yuan Gan; Pengyu Wang 004; et al. (CoRR, 2017)

3D Shape Segmentation Based on Viewpoint Entropy and Projective Fully Convolutional Networks Fusing Multi-view Features. - Panpan Shui; Pengyu Wang 004; Fenggen Yu; Bingyang Hu; Yuan Gan; Kun Liu 021; Yan Zhang 057 (ICPR, 2018)

Corrigendum to "3D shape segmentation via shape fully convolutional networks" [Computers & Graphics 70 (2018) 128-139]. - Pengyu Wang 004; Yuan Gan; Panpan Shui; Fenggen Yu; Yan Zhang 057; Songle Chen; Zhengxing Sun (Comput. Graph., 2018)

3D shape segmentation via shape fully convolutional networks. - Pengyu Wang 004; Yuan Gan; Panpan Shui; Fenggen Yu; Yan Zhang 057; Songle Chen; Zhengxing Sun (Comput. Graph., 2018)

Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines. - Fenggen Yu; Yan Zhang 057; Kai Xu 004; Ali Mahdavi-Amiri; Hao (Richard) Zhang (ACM Trans. Graph., 2018)

PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation. - Fenggen Yu; Kun Liu 021; Yan Zhang 057; Chenyang Zhu 002; Kai Xu 004 (CVPR, 2019)

VDAC: volume decompose-and-carve for subtractive manufacturing. - Ali Mahdavi-Amiri; Fenggen Yu; Haisen Zhao; Adriana Schulz; Hao Zhang 002 (ACM Trans. Graph., 2020)

RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes. - Jiongchao Jin; Arezou Fatemi; Wallace M. P. Lira; Fenggen Yu; Biao Leng; Rui Ma 011; Ali Mahdavi-Amiri; Hao (Richard) Zhang (ICCVW, 2021)

CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. - Fenggen Yu; Zhiqin Chen; Manyi Li; Aditya Sanghi; Hooman Shayani; Ali Mahdavi-Amiri; Hao Zhang 002 (CVPR, 2022)

HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling. - Fenggen Yu; Yiming Qian; Francisca Gil-Ureta; Brian Jackson; Eric P. Bennett; Hao Zhang 002 (ICCV, 2023)

D2CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts. - Fenggen Yu; Qimin Chen; Maham Tanveer; Ali Mahdavi-Amiri; Hao Zhang 002 (NeurIPS, 2023)

DualCSG: Learning Dual CSG Trees for General and Compact CAD Modeling. - Fenggen Yu; Qimin Chen; Maham Tanveer; Ali Mahdavi-Amiri; Hao Zhang 002 (CoRR, 2023)

Coarse-to-Fine Active Segmentation of Interactable Parts in Real Scene Images. - Ruiqi Wang; Akshay Gadi Patil; Fenggen Yu; Hao Zhang 002 (CoRR, 2023)

Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images. - Ruiqi Wang; Akshay Gadi Patil; Fenggen Yu; Hao Zhang 002 (ECCV (34), 2024)

DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly. - Fenggen Yu; Yiming Qian; Xu Zhang; Francisca Gil-Ureta; Brian Jackson; Eric P. Bennett; Hao Zhang 002 (ECCV (80), 2024)

SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers. - Mingrui Zhao; Yizhi Wang; Fenggen Yu; Changqing Zou; Ali Mahdavi-Amiri (ECCV (37), 2024)

LL-Gaussian: Low-Light Scene Reconstruction and Enhancement via Gaussian Splatting for Novel View Synthesis. - Hao Sun; Fenggen Yu; Huiyao Xu; Tao Zhang; Changqing Zou (CoRR, 2025)

ARAP-GS: Drag-driven As-Rigid-As-Possible 3D Gaussian Splatting Editing with Diffusion Prior. - Xiao Han; Runze Tian; Yifei Tong; Fenggen Yu; Dingyao Liu; Yan Zhang (CoRR, 2025)

CAGE-GS: High-fidelity Cage Based 3D Gaussian Splatting Deformation. - Yifei Tong; Runze Tian; Xiao Han; Dingyao Liu; Fenggen Yu; Yan Zhang (CoRR, 2025)