Research interests
- Computer Vision
- Shape Analysis
Recent publications
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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.
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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)
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Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas: SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. CVPR 2017: 6584-6592.
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SU, H., WANG, F., YI, L., AND GUIBAS, L. 2015. 3D-Assisted Image Feature Synthesis for Novel Views of an Object. In ICCV IEEE.
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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)
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