Fenggen Yu

According to our database, Fenggen Yu authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang

CoRR, 2023

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

Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi-Amiri, Hao Zhang

CoRR, 2023

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

Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric Bennett, Hao Zhang

CoRR, 2023

D²CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts.

Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi-Amiri, Hao Zhang

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.

Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric Bennett, Hao Zhang

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

2022

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

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

2021

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

Jiongchao Jin, Arezou Fatemi, Wallace M. P. Lira, Fenggen Yu, Biao Leng, Rui Ma, Ali Mahdavi-Amiri, Hao (Richard) Zhang

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

2020

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

Ali Mahdavi-Amiri, Fenggen Yu, Haisen Zhao, Adriana Schulz, Hao Zhang

ACM Trans. Graph., 2020

2019

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

Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu

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

2018

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

Fenggen Yu, Yan Zhang, Kai Xu, Ali Mahdavi-Amiri, Hao (Richard) Zhang

ACM Trans. Graph., 2018

3D shape segmentation via shape fully convolutional networks.

Pengyu Wang, Yuan Gan, Panpan Shui, Fenggen Yu, Yan Zhang, Songle Chen, Zhengxing Sun

Comput. Graph., 2018

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

Pengyu Wang, Yuan Gan, Panpan Shui, Fenggen Yu, Yan Zhang, Songle Chen, Zhengxing Sun

Comput. Graph., 2018

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

Panpan Shui, Pengyu Wang, Fenggen Yu, Bingyang Hu, Yuan Gan, Kun Liu, Yan Zhang

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

2017

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

Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas

CoRR, 2017