Leonidas J. Guibas
76 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge π Academic Marathon (12) π Conference Polyglot (5) π Renaissance Researcher (9) πΊοΈ Taxonomy Completionist (102)
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(44)
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Conferences
CVPR (47)
ICCV (20)
ECCV (7)
NIPS (1)
RSS (1)
Top co-authors
Research topics
Keywords
point cloud
(17)
3d vision
(10)
3d reconstruction
(8)
semantic segmentation
(8)
neural network
(6)
self-supervised learning
(4)
3d object detection
(4)
object detection
(4)
point cloud processing
(4)
variational autoencoder
(3)
motion estimation
(3)
multimodal learning
(3)
unsupervised learning
(3)
3d segmentation
(3)
point cloud registration
(3)
pose estimation
(3)
depth estimation
(3)
neural network architecture
(3)
autonomous driving
(3)
deep learning
(3)
Papers
AIpparel: A Multimodal Foundation Model for Digital Garments
CVPR 2025
LookOut: Real-World Humanoid Egocentric Navigation
ICCV 2025
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization
ICCV 2025
ActAnywhere: Subject-Aware Video Background Generation
NIPS 2024
CurveCloudNet: Processing Point Clouds with 1D Structure
CVPR 2024
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
ICCV 2023
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
ICCV 2023
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
CVPR 2022
ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation
CVPR 2022
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
CVPR 2022
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
CVPR 2022
Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders
CVPR 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
CVPR 2022
Efficient Geometry-Aware 3D Generative Adversarial Networks
CVPR 2022
Projective Manifold Gradient Layer for Deep Rotation Regression
CVPR 2022
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
CVPR 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
RSS 2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking
ECCV 2022
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions
ECCV 2022
GIMO: Gaze-Informed Human Motion Prediction in Context
ECCV 2022
Towards Accurate Active Camera Localization
ECCV 2022
PartGlot: Learning Shape Part Segmentation From Language Reference Games
CVPR 2022
Where2Act: From Pixels to Actions for Articulated 3D Objects
ICCV 2021
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization
CVPR 2021
Quantum Permutation Synchronization
CVPR 2021
ArtEmis: Affective Language for Visual Art
CVPR 2021
Weakly Supervised Learning of Rigid 3D Scene Flow
CVPR 2021
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
CVPR 2021
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
CVPR 2021
Joint Learning of 3D Shape Retrieval and Deformation
CVPR 2021
A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks.
CVPR 2021
CAPTRA: CAtegory-Level Pose Tracking for Rigid and Articulated Objects From Point Clouds
ICCV 2021
Generative Layout Modeling Using Constraint Graphs
ICCV 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
ICCV 2021
HuMoR: 3D Human Motion Model for Robust Pose Estimation
ICCV 2021
SAPIEN: A SimulAted Part-Based Interactive ENvironment
CVPR 2020
Contact and Human Dynamics from Monocular Video
ECCV 2020
Curriculum DeepSDF
ECCV 2020
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
ECCV 2020
Robust Learning Through Cross-Task Consistency
CVPR 2020
StructEdit: Learning Structural Shape Variations
CVPR 2020
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss
CVPR 2020
Learning Multiview 3D Point Cloud Registration
CVPR 2020
Synchronizing Probability Measures on Rotations via Optimal Transport
CVPR 2020
Adversarial Texture Optimization From RGB-D Scans
CVPR 2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
CVPR 2020
Category-Level Articulated Object Pose Estimation
CVPR 2020
Deep Hough Voting for 3D Object Detection in Point Clouds
ICCV 2019
Learning Transformation Synchronization
CVPR 2019
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
CVPR 2019
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
CVPR 2019
Supervised Fitting of Geometric Primitives to 3D Point Clouds
CVPR 2019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
CVPR 2019
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
CVPR 2019
FlowNet3D: Learning Scene Flow in 3D Point Clouds
CVPR 2019
Situational Fusion of Visual Representation for Visual Navigation
ICCV 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
ICCV 2019
FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image
ICCV 2019
Composite Shape Modeling via Latent Space Factorization
ICCV 2019
OperatorNet: Recovering 3D Shapes From Difference Operators
ICCV 2019
Joint Embedding of 3D Scan and CAD Objects
ICCV 2019
Shapeglot: Learning Language for Shape Differentiation
ICCV 2019
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning
CVPR 2018
Beyond Holistic Object Recognition: Enriching Image Understanding With Part States
CVPR 2018
Frustum PointNets for 3D Object Detection From RGB-D Data
CVPR 2018
Distributable Consistent Multi-Object Matching
CVPR 2018
Taskonomy: Disentangling Task Transfer Learning
CVPR 2018
A Point Set Generation Network for 3D Object Reconstruction From a Single Image
CVPR 2017
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
CVPR 2017
Learning Shape Abstractions by Assembling Volumetric Primitives
CVPR 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
CVPR 2017
Volumetric and Multi-View CNNs for Object Classification on 3D Data
CVPR 2016
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained With Rendered 3D Model Views
ICCV 2015
3D-Assisted Feature Synthesis for Novel Views of an Object
ICCV 2015
Unsupervised Multi-Class Joint Image Segmentation
CVPR 2014
Image Co-segmentation via Consistent Functional Maps
ICCV 2013