Guibas, L.
* 2017: Shape-aware spatio-temporal descriptors for interaction classification
* 2019: Deep Hough Voting for 3D Object Detection in Point Clouds
* 2019: Situational Fusion of Visual Representation for Visual Navigation
Guibas, L.J.
* 1980: New Proof of the Linearity of the Boyer-Moore String Searching Algorithm, A
* 1983: On Computing All North-East Nearest Neighbors in the L1 Metric
* 1985: Primitives for the Manipulation of General Subdivisions and the Computation of Voronoi Diagrams
* 1994: Image Descriptions for Browsing and Retrieval
* 1996: Image Retrieval and Robot Vision Research at Stanford
* 1996: Shape-Based Illustration Indexing and Retrieval: Some First Steps
* 1997: Earth Mover's Distance, Multi-Dimensional Scaling, and Color-Based Image Retrieval, The
* 1997: Image Browsing and Retrieval Research at Stanford
* 1997: Shape-Based Image Retrieval Using Geometric Hashing
* 1998: Earth Mover's Distance as a Metric for Image Retrieval, The
* 1998: Metric for Distributions with Applications to Image Databases, A
* 1998: Retrieving Color, Patterns, Texture, and Faces
* 1999: Earth Mover's Distance under Transformation Sets, The
* 2000: Earth Mover's Distance as a Metric for Image Retrieval, The
* 2002: Algorithmic issues in modeling motion
* 2004: Local and Global Analysis for Point Cloud Data
* 2006: Towards Unsupervised Segmentation of Semi-Rigid Low-Resolution Molecular Surfaces
* 2007: Facenet: Tracking People and Acquiring Canonical Face Images in a Wireless Camera Sensor Network
* 2008: Multi-person tracking from sparse 3D trajectories in a camera sensor network
* 2008: Robust extraction of 1D skeletons from grayscale 3D images
* 2009: Shape Google: a computer vision approach to isometry invariant shape retrieval
* 2010: Image webs: Computing and exploiting connectivity in image collections
* 2010: Persistence-based segmentation of deformable shapes
* 2010: SHREC'10 Track: Correspondence Finding
* 2010: SHREC'10 Track: Feature Detection And Description
* 2010: SHREC'10 Track: Robust Shape Retrieval
* 2011: Human action recognition by learning bases of action attributes and parts
* 2011: Select informative features for recognition
* 2012: Supervised Earth Mover's Distance Learning and Its Computer Vision Applications
* 2013: Graph Matching with Anchor Nodes: A Learning Approach
* 2013: Image Co-segmentation via Consistent Functional Maps
* 2014: Stable and Informative Spectral Signatures for Graph Matching
* 2014: Unsupervised Multi-class Joint Image Segmentation
* 2015: 3D-Assisted Feature Synthesis for Novel Views of an Object
* 2015: Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
* 2016: ObjectNet3D: A Large Scale Database for 3D Object Recognition
* 2016: Volumetric and Multi-view CNNs for Object Classification on 3D Data
* 2017: 3D convolutional neural networks by modal fusion
* 2017: Learning Shape Abstractions by Assembling Volumetric Primitives
* 2017: Point Set Generation Network for 3D Object Reconstruction from a Single Image, A
* 2017: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
* 2017: SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
* 2018: Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
* 2018: Distributable Consistent Multi-object Matching
* 2018: Frustum PointNets for 3D Object Detection from RGB-D Data
* 2018: Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning
* 2018: Parsing Geometry Using Structure-Aware Shape Templates
* 2018: Taskonomy: Disentangling Task Transfer Learning
* 2019: Composite Shape Modeling via Latent Space Factorization
* 2019: FlowNet3D: Learning Scene Flow in 3D Point Clouds
* 2019: FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image
* 2019: GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
* 2019: Information-Theoretic Approach to Transferability in Task Transfer Learning, An
* 2019: Joint Embedding of 3D Scan and CAD Objects
* 2019: KPConv: Flexible and Deformable Convolution for Point Clouds
* 2019: Learning Transformation Synchronization
* 2019: Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
* 2019: OperatorNet: Recovering 3D Shapes From Difference Operators
* 2019: PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
* 2019: Shapeglot: Learning Language for Shape Differentiation
* 2019: Supervised Fitting of Geometric Primitives to 3D Point Clouds
* 2019: TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
* 2020: 6d Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
* 2020: AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss
* 2020: Adversarial Texture Optimization From RGB-D Scans
* 2020: Category-Level Articulated Object Pose Estimation
* 2020: Contact and Human Dynamics from Monocular Video
* 2020: Curriculum DeepSDF
* 2020: Deformation-aware 3d Model Embedding and Retrieval
* 2020: ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
* 2020: Learning 3d Part Assembly from a Single Image
* 2020: Learning Multiview 3D Point Cloud Registration
* 2020: Pix2Surf: Learning Parametric 3d Surface Models of Objects from Images
* 2020: Pointcontrast: Unsupervised Pre-training for 3d Point Cloud Understanding
* 2020: Predicting the Physical Dynamics of Unseen 3D Objects
* 2020: Pt2pc: Learning to Generate 3d Point Cloud Shapes from Part Tree Conditions
* 2020: Quaternion Equivariant Capsule Networks for 3d Point Clouds
* 2020: Referit3d: Neural Listeners for Fine-grained 3d Object Identification in Real-world Scenes
* 2020: Robust Learning Through Cross-Task Consistency
* 2020: SAPIEN: A SimulAted Part-Based Interactive ENvironment
* 2020: Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
* 2020: StructEdit: Learning Structural Shape Variations
* 2020: Synchronizing Probability Measures on Rotations via Optimal Transport
* 2020: Towards Precise Completion of Deformable Shapes
* 2021: 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
* 2021: ArtEmis: Affective Language for Visual Art
* 2021: CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
* 2021: Continuous Geodesic Convolutions for Learning on 3D Shapes
* 2021: functional approach to rotation equivariant non-linearities for Tensor Field Networks, A
* 2021: Generative Layout Modeling using Constraint Graphs
* 2021: HuMoR: 3D Human Motion Model for Robust Pose Estimation
* 2021: Joint Learning of 3D Shape Retrieval and Deformation
* 2021: MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization
* 2021: Quantum Permutation Synchronization
* 2021: Representation Learning Through Latent Canonicalizations
* 2021: Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
* 2021: Vector Neurons: A General Framework for SO(3)-Equivariant Networks
* 2021: Weakly Supervised Learning of Rigid 3D Scene Flow
* 2021: Where2Act: From Pixels to Actions for Articulated 3D Objects
* 2022: 3DPointCaps++: Learning 3D Representations with Capsule Networks
* 2022: AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions
* 2022: ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation
* 2022: ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
* 2022: Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
* 2022: Domain Adaptation on Point Clouds via Geometry-Aware Implicits
* 2022: Efficient Geometry-aware 3D Generative Adversarial Networks
* 2022: Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
* 2022: Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
* 2022: GIMO: Gaze-Informed Human Motion Prediction in Context
* 2022: Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
* 2022: PartGlot: Learning Shape Part Segmentation from Language Reference Games
* 2022: Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
* 2022: Projective Manifold Gradient Layer for Deep Rotation Regression
* 2022: SpOT: Spatiotemporal Modeling for 3D Object Tracking
* 2022: Towards Accurate Active Camera Localization
* 2023: Affection: Learning Affective Explanations for Real-World Visual Data
* 2023: ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
* 2023: CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
* 2023: COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
* 2023: DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
* 2023: EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
* 2023: Generating Part-Aware Editable 3D Shapes without 3D Supervision
* 2023: GINA-3D: Learning to Generate Implicit Neural Assets in the Wild
* 2023: JacobiNeRF: NeRF Shaping with Mutual Information Gradients
* 2023: LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
* 2023: MetaCLUE: Towards Comprehensive Visual Metaphors Research
* 2023: Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization
* 2023: NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
* 2023: Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision
* 2023: PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
* 2023: SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
* 2023: SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry
* 2023: ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations
* 2023: SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
* 2023: VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization
Includes: Guibas, L.J. Guibas, L.J.[Leonidas J.]
135 for Guibas, L.J.
Guibault, F.
* 2007: Adaptive Mesh Generation of MRI Images for 3D Reconstruction of Human Trunk
* 2008: Automatic Detection of the Back Valley on Scoliotic Trunk Using Polygonal Surface Curvature
* 2016: new topological descriptor for contextual feature indexing, A
* 2017: Mesh-Based Active Model Initialization for Multiple Organ Segmentation in MR Images
Includes: Guibault, F. Guibault, F.[François]
Guibelalde, E.[Eduardo]
* 2009: Automatic scoring of CDMAM using a model of the recognition threshold of the human visual system: R*
Guibert, D.[David]
* 2022: Fast Sky to Sky Interpolation for Radio Interferometric Imaging
Guibert, J.
* 1987: Texture Feature Extraction
* 1988: Texture Discrimination Based on an Optimal Utilization of Texture Features
Includes: Guibert, J. Guibert, J.[Jean]