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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 (Richard) Zhang, Leonidas J. Guibas.
    GRASS: generative recursive autoencoders for shape structures.
    ACM Trans. Graph. 2017, Volume 36 (0) 2017
    Conference paper
    Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas.
    ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein.
    Computing and processing correspondences with functional maps.
    Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH '17, Los Angeles, CA, USA, July 30 - August 03, 2017, Courses 2017 (0) 2017
    Journal article
    Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qi-Xing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas.
    Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik.
    Learning Shape Abstractions by Assembling Volumetric Primitives.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Haoqiang Fan, Hao Su, Leonidas J. Guibas.
    A Point Set Generation Network for 3D Object Reconstruction from a Single Image.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas.
    SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas.
    PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Jingwei Huang, Angela Dai, Leonidas J. Guibas, Matthias Nießner.
    3Dlite: towards commodity 3D scanning for content creation.
    ACM Trans. Graph. 2017, Volume 36 (0) 2017
    Conference paper
    Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas.
    Complementme: weakly-supervised component suggestions for 3D modeling.
    ACM Trans. Graph. 2017, Volume 36 (0) 2017
    Conference paper
    Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas.
    PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Conference paper
    Charles Ruizhongtai Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas.
    Frustum PointNets for 3D Object Detection from RGB-D Data.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Yang Li, Dimitrios Gunopulos, Cewu Lu, Leonidas J. Guibas.
    Urban Travel Time Prediction using a Small Number of GPS Floating Cars.
    Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2017, Redondo Beach, CA, USA, November 7-10, 2017 2017 (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
    Show item 1 to 25 of 476  

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