Guibas, Leonidas
Google (United States)
28 papers on CoChatORCID 0000-0002-8315-4886
Most cited papers
- Verified
Frustum PointNets for 3D Object Detection from RGB-D Data
Qi, C. R., Liu, W., Wu, C., Su, H., & Guibas, L. J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Advanced Neural Network Applications3D Shape Modeling and Analysis
Cited by 2,655
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ShapeNet: An Information-Rich 3D Model Repository
Chang, A. X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., et al. (2015) · arXiv
3D Shape Modeling and AnalysisImage Processing and 3D Reconstruction
Cited by 2,330
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Deep Hough Voting for 3D Object Detection in Point Clouds
Qi, C. R., Litany, O., He, K., & Guibas, L. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
3D Shape Modeling and AnalysisAdvanced Neural Network Applications
Cited by 1,244
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Taskonomy: Disentangling Task Transfer Learning
Zamir, A. R., Sax, A., Shen, W., Guibas, L., Malik, J., & Savarese, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 1,128
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SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
Yi, L., Su, H., Guo, X., & Guibas, L. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
3D Shape Modeling and AnalysisAdvanced Graph Neural Networks
Cited by 461
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SAPIEN: A SimulAted Part-Based Interactive ENvironment
Xiang, F., Qin, Y., Mo, K., Xia, Y., Zhu, H., Liu, F., Liu, M., Jiang, H., Yuan, Y., Wang, H., et al. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 406
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Robust single-view geometry and motion reconstruction
Li, H., Adams, B., Guibas, L. J., & Pauly, M. (2009) · ACM Transactions on Graphics
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 334
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One Point Isometric Matching with the Heat Kernel
Ovsjanikov, M., Mérigot, Q., Mémoli, F., & Guibas, L. (2010) · Computer Graphics Forum
3D Shape Modeling and AnalysisGeometric Analysis and Curvature Flows
Cited by 301
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PERSISTENCE BARCODES FOR SHAPES
CARLSSON, G., ZOMORODIAN, A., COLLINS, A., & GUIBAS, L. J. (2005) · International Journal of Shape Modeling
Topological and Geometric Data AnalysisGeometric and Algebraic Topology
Cited by 287
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SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Chen, B., Xu, Z., Kirmani, S., Ichter, B., Sadigh, D., Guibas, L., & Xia, F. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 281
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Non‐Rigid Registration Under Isometric Deformations
Huang, Q., Adams, B., Wicke, M., & Guibas, L. J. (2008) · Computer Graphics Forum
3D Shape Modeling and AnalysisMedical Image Segmentation Techniques
Cited by 279
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SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Chen, B., Xu, Z., Kirmani, S., Ichter, B., Driess, D., Florence, P., Sadigh, D., Guibas, L., & Xia, F. (2024) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 269
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Gromov‐Hausdorff Stable Signatures for Shapes using Persistence
Chazal, F., Cohen‐Steiner, D., Guibas, L. J., Mémoli, F., & Oudot, S. Y. (2009) · Computer Graphics Forum
Topological and Geometric Data AnalysisGeometric Analysis and Curvature Flows
Cited by 225
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Category-Level Articulated Object Pose Estimation
Li, X., Wang, H., Yi, L., Guibas, L. J., Abbott, A. L., & Song, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Robot Manipulation and Learning3D Shape Modeling and Analysis
Cited by 196
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ArtEmis: Affective Language for Visual Art
Achlioptas, P., Ovsjanikov, M., Haydarov, K., Elhoseiny, M., & Guibas, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques
Cited by 161
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Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data
Wand, M., Adams, B., Ovsjanikov, M., Berner, A., Bokeloh, M., Jenke, P., Guibas, L., Seidel, H.-P., & Schilling, A. (2009) · ACM Transactions on Graphics
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 136
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Persistence barcodes for shapes
Carlsson, G., Zomorodian, A., Collins, A., & Guibas, L. (2004) · Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Topological and Geometric Data AnalysisGeometric and Algebraic Topology
Cited by 133
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Where2Act: From Pixels to Actions for Articulated 3D Objects
Mo, K., Guibas, L., Mukadam, M., Gupta, A., & Tulsiani, S. (2021) · arXiv
Robot Manipulation and LearningAdvanced Neural Network Applications
Cited by 132
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A barcode shape descriptor for curve point cloud data
Collins, A., Zomorodian, A., Carlsson, G., & Guibas, L. J. (2004) · Computers & Graphics
3D Shape Modeling and AnalysisTopological and Geometric Data Analysis
Cited by 132
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Shape2Pose: human-centric shape analysis
Kim, V. G., Chaudhuri, S., Guibas, L., & Funkhouser, T. (2014) · ACM Transactions on Graphics
3D Shape Modeling and AnalysisImage Processing and 3D Reconstruction
Cited by 112
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CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
Weng, Y., Wang, H., Zhou, Q., Qin, Y., Duan, Y., Fan, Q., Chen, B., Su, H., & Guibas, L. J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
3D Shape Modeling and AnalysisRobot Manipulation and Learning
Cited by 103
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Structural Insight into RNA Hairpin Folding Intermediates
Bowman, G. R., Huang, X., Yao, Y., Sun, J., Carlsson, G., Guibas, L. J., & Pande, V. S. (2008) · Journal of the American Chemical Society
RNA and protein synthesis mechanismsProtein Structure and Dynamics
Cited by 101
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Language-driven synthesis of 3D scenes from scene databases
Ma, R., Patil, A. G., Fisher, M., Li, M., Pirk, S., Hua, B.-S., Yeung, S.-K., Tong, X., Guibas, L., & Zhang, H. (2018) · ACM Transactions on Graphics
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 100
- Verified
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
Wei, Q. A., Ding, S., Park, J. J., Sajnani, R., Poulenard, A., Sridhar, S., & Guibas, L. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
3D Shape Modeling and AnalysisRobot Manipulation and Learning
Cited by 60
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