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    Author information
    First name: Leonidas J.
    Last name: Guibas
    DBLP: g/LeonidasJGuibas
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    Below you find the publications which have been written by this author.

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    Conference paper
    Etienne Corman, Justin Solomon, Mirela Ben-Chen, Leonidas J. Guibas, Maks Ovsjanikov.
    Functional Characterization of Intrinsic and Extrinsic Geometry.
    ACM Trans. Graph. 2017, Volume 36 (0) 2017
    Conference paper
    Jun Li, Kai Xu 0004, Siddhartha Chaudhuri, Ersin Yumer, Hao (Richard) Zhang, Leonidas J. Guibas.
    GRASS: Generative Recursive Autoencoders for Shape Structures.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer.
    Learning Hierarchical Shape Segmentation and Labeling from Online Repositories.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas, Maks Ovsjanikov.
    Functoriality in Geometric Data (Dagstuhl Seminar 17021).
    Dagstuhl Reports 2017, Volume 7 (0) 2017
    Journal article
    Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas.
    PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas J. Guibas.
    Representation Learning and Adversarial Generation of 3D Point Clouds.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Etienne Corman, Justin Solomon, Mirela Ben-Chen, Leonidas J. Guibas, Maks Ovsjanikov.
    Functional characterization of intrinsic and extrinsic geometry.
    ACM Trans. Graph. 2017, Volume 36 (0) 2017
    Conference paper
    Sören Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Yusuke Yoshiyasu, Bedrich Benes, Leonidas J. Guibas.
    Understanding and exploiting object interaction landscapes.
    ACM Trans. Graph. 2017, Volume 36 (0) 2017
    Conference paper
    Sören Pirk, Vojtech Krs, Kai-Mo Hu, Suren Deepak Rajasekaran, Hao Kang, Yusuke Yoshiyasu, Bedrich Benes, Leonidas J. Guibas.
    Understanding and Exploiting Object Interaction Landscapes.
    ACM Trans. Graph. 2017, Volume 36 (0) 2017
    Conference paper
    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. 2017, Volume 36 (0) 2017
    Conference paper
    Jun Li, Kai Xu 0004, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, Leonidas J. Guibas.
    GRASS: generative recursive autoencoders for shape structures.
    ACM Trans. Graph. 2017, Volume 36 (0) 2017
    Conference paper
    Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher.
    Continuous-Flow Graph Transportation Distances.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas.
    Volumetric and Multi-View CNNs for Object Classification on 3D Data.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas.
    FPNN: Field Probing Neural Networks for 3D Data.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Chen Chen 0018, Cewu Lu, Qi-Xing Huang, Qiang Yang 0001, Dimitrios Gunopulos, Leonidas J. Guibas.
    City-Scale Map Creation and Updating using GPS Collections.
    Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016 2016 (0) 2016
    Conference paper
    V. Ganapathi-Subramanian, Boris Thibert, Maks Ovsjanikov, Leonidas J. Guibas.
    Stable Region Correspondences Between Non-Isometric Shapes.
    Comput. Graph. Forum 2016, Volume 35 (0) 2016
    Conference paper
    Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Bongsoo Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese.
    ObjectNet3D: A Large Scale Database for 3D Object Recognition.
    Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII 2016 (0) 2016
    Conference paper
    Sören Pirk, Vojtech Krs, Kai-Mo Hu, Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Yusuke Yoshiyasu, Leonidas J. Guibas.
    Understanding and Exploiting Object Interaction Landscapes.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Yusuke Yoshiyasu, Eiichi Yoshida, Leonidas J. Guibas.
    Symmetry aware embedding for shape correspondence.
    Computers Graphics 2016, Volume 60 (0) 2016
    Conference paper
    Nan Hu, Boris Thibert, Leonidas J. Guibas.
    Distributable Consistent Multi-Graph Matching.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas.
    FPNN: Field Probing Neural Networks for 3D Data.
    Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas.
    Volumetric and Multi-view CNNs for Object Classification on 3D Data.
    2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016 2016 (0) 2016
    Conference paper
    Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas.
    SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas.
    PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Haoqiang Fan, Hao Su, Leonidas J. Guibas.
    A Point Set Generation Network for 3D Object Reconstruction from a Single Image.
    CoRR 2016, Volume 0 (0) 2016
    Show item 1 to 25 of 463  

    Your query returned 463 matches in the database.