Li Yi

ericyi@stanford.edu
personal page

Research interests

  • Computer Vision
  • Shape Analysis

Recent publications
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas J. Guibas, StructureNet: Hierarchical Graph Networks for 3D Shape Generation, Siggraph Asia 2019   
L. Yi, W. Zhao, H. Wang, M. Sung, L. Guibas, GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019   
Kaichun Mo, Shilin Zhu, Angel Chang, Li Yi, Subarna Tripathi, Leonidas Guibas, and Hao Su, PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding, CVPR 2019   
Huang, J., Zhang, H., Yi, L., Funkhouser, T., Nießner, M., & Guibas, L. (2018). TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. Computer Vision and Pattern Recognition (CVPR), 2019   
Lingxiao Li*, Minhyuk Sung*, Anastasia Dubrovina, Li Yi, and Leonidas Guibas, Supervised Fitting of Geometric Primitives to 3D Point Clouds, CVPR 2019 (Oral) (* equal contribution)   
L. Yi, H. Huang, D. Liu, K. Evangelos, H. Su, and L. Guibas, Deep part induction from articulated object pairs, SIGGRAPH Asia 2018 Technical Papers. ACM, 2018: 209.   
C. Lu, H. Su, Y. Lu, L. Yi, C. Tang, and L. Guibas, Beyond Holistic Object Recognition: Enriching Image Understanding with Part States, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 6955-6963.   
Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. Neural Information Processing Systems (NIPS) 2017.   
Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer: Learning Hierarchical Shape Segmentation and Labeling from Online Repositories. ACM Trans. Graph. 36(4): 70:1-70:12 (2017)   
Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas: SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. CVPR 2017: 6584-6592.   
Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas, A scalable active framework for region annotation in 3D shape collections. ACM Trans. Graph. 35(6): 210 (2016)   
SU, H., WANG, F., YI, L., AND GUIBAS, L. 2015. 3D-Assisted Image Feature Synthesis for Novel Views of an Object. In ICCV IEEE.