Li Yi

	Deep Object-Centric 3D Perception Li Yi Ph.D. Thesis PDF

	Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds Xiaolong Li, Yijia Weng, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song, He Wang NeurIPS 2021 PDF(soon)

	Contrastive Multimodal Fusion with TupleInfoNCE Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas Funkhouser, Li Yi ICCV 2021 PDF

	P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding Yunze Liu^, Li Yi^, Shanghang Zhang, Qingnan Fan, Thomas Funkhouser, Hao Dong (* equal contribution) arXiv:2012.13089 [cs.CV], Dec 2020 PDF

	Compositionally Generalizable 3D Structure Prediction Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen and Hao Su arXiv:2012.02493 [cs.CV], Dec 2020 PDF

	Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments Siyan Dong^, Qingnan Fan^, He Wang, Ji Shi, Li Yi, Thomas Funkhouser, Baoquan Chen, Leonidas J. Guibas (* equal contribution) CVPR 2021 Oral Presentation PDF

	Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds Li Yi, Boqing Gong, Thomas Funkhouser CVPR 2021 PDF

	Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks He Wang^, Zetian Jiang^, Li Yi, Kaichun Mo, Hao Su, Leonidas J. Guibas (* equal contribution) arXiv:2006.07029 [cs.CV], June 2020 PDF

	Curriculum DeepSDF Yueqi Duan^, Haidong Zhu^, He Wang, Li Yi, Ram Nevatia, Leonidas J. Guibas (* equal contribution) ECCV 2020 PDF

	SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X.Chang, Leonidas J. Guibas, Hao Su CVPR 2020 Oral Presentation PDF Project Code Demo

	Category-Level Articulated Object Pose Estimation Xiaolong Li^, He Wang^, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song (* equal contribution) CVPR 2020 Oral Presentation PDF Project

	StructEdit: Learning Structural Shape Variations Kaichun Mo^, Paul Guerrero^, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, Leonidas J. Guibas (* equal contribution) CVPR 2020 PDF Project

	AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang CVPR 2020 Oral Presentation PDF

	StructureNet: Hierarchical Graph Networks for 3D Shape Generation Kaichun Mo^, Paul Guerrero^, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, Leonidas J. Guibas (* equal contribution) SIGGRAPH Asia 2019 PDF Project

	GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas Guibas CVPR 2019 PDF Code

	TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, Leonidas Guibas CVPR 2019 Oral Presentation PDF

	Supervised Fitting of Geometric Primitives to 3D Point Clouds Lingxiao Li^, Minhyuk Sung^, Anastasia Dubrovina, Li Yi, Leonidas Guibas (* equal contribution) CVPR 2019 Oral Presentation PDF Code

	PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding Kaichun Mo, Shilin Zhu, Angel X.Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas and Hao Su CVPR 2019 PDF Project

	GeoNet: Deep Geodesic Networks for Point Cloud Analysis Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Qihao Wu, Jue Wang, Stefano Soatto CVPR 2019 Oral Presentation PDF

	Deep Part Induction from Articulated Object Pairs Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas Guibas SIGGRAPH Asia 2018 PDF Code

	Beyond Holistic Object Recognition: Enriching Image Understanding with Part States Cewu Lu, Hao Su, Yongyi Lu, Li Yi, Chikeung Tang, Leonidas Guibas CVPR 2018 PDF

	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Charles R. Qi, Li Yi, Hao Su, Leonidas J. Guibas NIPS 2017 PDF Project

	Learning Hierarchical Shape Segmentation and Labeling from Online Repositories Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer SIGGRAPH 2017 PDF Project

	SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas CVPR 2017 Spotlight Presentation PDF Code

	A Scalable Active Framework for Region Annotation in 3D Shape Collections Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyuan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas SIGGRAPH Asia 2016 PDF(23.2MB) PDF(6.8MB) Supplemental Project Bib

	ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu arXiv:1512.03012 [cs.GR], Dec 2015 PDF @article{chang2015shapenet, title={Shapenet: An information-rich 3d model repository}, author={Chang, Angel X and Funkhouser, Thomas and Guibas, Leonidas and Hanrahan, Pat and Huang, Qixing and Li, Zimo and Savarese, Silvio and Savva, Manolis and Song, Shuran and Su, Hao and others}, journal={arXiv preprint arXiv:1512.03012}, year={2015} }

	3D-Assisted Image Feature Synthesis for Novel Views of an Object Hao Su^, Fan Wang^, Li Yi, Leonidas Guibas ICCV 2015 oral PDF @inproceedings{su20153d, title={3D-assisted feature synthesis for novel views of an object}, author={Su, Hao and Wang, Fan and Yi, Eric and Guibas, Leonidas J}, booktitle={Proceedings of the IEEE International Conference on Computer Vision}, pages={2677--2685}, year={2015} }

	Image Super-Resolution Via Analysis Sparse Prior Qiang Ning, Kan Chen, Li Yi, Chuchu Fan, Yao Lu, Jiangtao Wen IEEE Signal Processing Letter 2013 PDF @article{ning2013image, title={Image Super-Resolution Via Analysis Sparse Prior.}, author={Ning, Qiang and Chen, Kan and Yi, Li and Fan, Chuchu and Lu, Yao and Wen, Jiangtao}, journal={IEEE Signal Process. Lett.}, volume={20}, number={4}, pages={399--402}, year={2013} }

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