3D Shape Segmentation via Shape Fully Convolutional Networks. - Pengyu Wang 004; Yuan Gan; Yan Zhang 057; Panpan Shui (CoRR, 2017)

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)

Qualitative Organization of Photo Collections via Quartet Analysis and Active Learning. - Yuan Gan; Yan Zhang 057; Zhengxing Sun; Hao Zhang 002 (Graphics Interface, 2019)

VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification. - Songle Chen; Lintao Zheng; Yan Zhang 057; Zhixin Sun; Kai Xu 004 (IEEE Trans. Vis. Comput. Graph., 2019)

Qualitative photo collage by quartet analysis and active learning. - Yuan Gan; Yan Zhang 057; Zhengxing Sun; Hao Zhang 002 (Comput. Graph., 2020)

3D Shape Generation via Functionality-Aware Model Evolution. - Yanran Guan; Han Liu 003; Kun Liu 021; Kangxue Yin; Ruizhen Hu; Oliver van Kaick; Yan Zhang 057; Ersin Yumer; Nathan Carr 001; Radomír Mech; Hao Zhang 002 (CoRR, 2020)

FAME: 3D Shape Generation via Functionality-Aware Model Evolution. - Yanran Guan; Han Liu 003; Kun Liu 021; Kangxue Yin; Ruizhen Hu; Oliver van Kaick; Yan Zhang 057; Ersin Yumer; Nathan Carr 001; Radomír Mech; Hao (Richard) Zhang (IEEE Trans. Vis. Comput. Graph., 2022)

ShadowMover: Automatically Projecting Real Shadows onto Virtual Object. - Piaopiao Yu; Jie Guo 001; Fan Huang; Zhenyu Chen 001; Chen Wang; Yan Zhang 057; Yanwen Guo 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Deep graph learning for spatially-varying indoor lighting prediction. - Jiayang Bai; Jie Guo 001; Chenchen Wang; Zhenyu Chen 001; Zhen He; Shan Yang; Piaopiao Yu; Yan Zhang 057; Yanwen Guo 001 (Sci. China Inf. Sci., 2023)

Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction. - Jiayang Bai; Zhen He; Shan Yang; Jie Guo 001; Zhenyu Chen 001; Yan Zhang 057; Yanwen Guo 001 (IEEE Trans. Vis. Comput. Graph., 2023)

LiDAR-Net: A Real-Scanned 3D Point Cloud Dataset for Indoor Scenes. - Yanwen Guo 001; Yuanqi Li; Dayong Ren; Xiaohong Zhang; Jiawei Li; Liang Pu; Changfeng Ma; Xiaoyu Zhan; Jie Guo 001; Mingqiang Wei; Yan Zhang 057; Piaopiao Yu; et al. (CVPR, 2024)

GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization. - Yanhao Sun; Runze Tian; Xiao Han; Xinyao Liu; Yan Zhang 057; Kai Xu 004 (Comput. Graph. Forum, 2024)