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07/27/2023
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
We introduce PointOdyssey, a large-scale synthetic dataset, and data gen...
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04/27/2023
Learning a Diffusion Prior for NeRFs
Neural Radiance Fields (NeRFs) have emerged as a powerful neural 3D repr...
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03/22/2023
Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity
Regular physics-informed neural networks (PINNs) predict the solution of...
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03/21/2023
CurveCloudNet: Processing Point Clouds with 1D Structure
Modern depth sensors such as LiDAR operate by sweeping laser-beams acros...
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11/29/2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution
A wide range of techniques have been proposed in recent years for design...
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10/04/2022
COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos
To produce safe human motions, assistive wearable exoskeletons must be e...
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07/13/2022
6D Camera Relocalization in Visually Ambiguous Extreme Environments
We propose a novel method to reliably estimate the pose of a camera give...
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07/12/2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking
3D multi-object tracking aims to uniquely and consistently identify all ...
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05/05/2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
This paper studies the problem of fixing malfunctional 3D objects. While...
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04/20/2022
GIMO: Gaze-Informed Human Motion Prediction in Context
Predicting human motion is critical for assistive robots and AR/VR appli...
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01/19/2022
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
Progress in 3D object understanding has relied on manually canonicalized...
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12/09/2021
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
Evaluating and improving planning for autonomous vehicles requires scala...
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07/16/2021
Unsupervised Discovery of Object Radiance Fields
We study the problem of inferring an object-centric scene representation...
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05/10/2021
HuMoR: 3D Human Motion Model for Robust Pose Estimation
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of tem...
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04/08/2021
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
In this work, we tackle the problem of category-level online pose tracki...
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02/17/2021
Weakly Supervised Learning of Rigid 3D Scene Flow
We propose a data-driven scene flow estimation algorithm exploiting the ...
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12/08/2020
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
3D object detection is an important yet demanding task that heavily reli...
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10/11/2020
IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
Point cloud is an important 3D data representation widely used in many e...
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09/03/2020
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Shape deformation is an important component in any geometry processing t...
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08/18/2020
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
We investigate the problem of learning to generate 3D parametric surface...
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08/12/2020
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry
3D shape generation is a fundamental operation in computer graphics. Whi...
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08/06/2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
We propose CaSPR, a method to learn object-centric canonical spatiotempo...
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07/22/2020
Contact and Human Dynamics from Monocular Video
Existing deep models predict 2D and 3D kinematic poses from video that a...
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07/21/2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Arguably one of the top success stories of deep learning is transfer lea...
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07/20/2020
Object-Centric Multi-View Aggregation
We present an approach for aggregating a sparse set of views of an objec...
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06/12/2020
Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks
In this paper, we examine the long-neglected yet important effects of po...
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03/19/2020
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
3D generative shape modeling is a fundamental research area in computer ...
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03/19/2020
Curriculum DeepSDF
When learning to sketch, beginners start with simple and flexible shapes...
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03/19/2020
SAPIEN: A SimulAted Part-based Interactive ENvironment
Building home assistant robots has long been a pursuit for vision and ro...
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01/29/2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
3D object detection has seen quick progress thanks to advances in deep l...
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01/16/2020
Predicting the Physical Dynamics of Unseen 3D Objects
Machines that can predict the effect of physical interactions on the dyn...
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01/15/2020
Learning multiview 3D point cloud registration
We present a novel, end-to-end learnable, multiview 3D point cloud regis...
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11/25/2019
StructEdit: Learning Structural Shape Variations
Learning to encode differences in the geometry and (topological) structu...
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08/24/2019
Situational Fusion of Visual Representation for Visual Navigation
A complex visual navigation task puts an agent in different situations w...
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08/01/2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
The ability to generate novel, diverse, and realistic 3D shapes along wi...
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07/01/2019
Multiview Aggregation for Learning Category-Specific Shape Reconstruction
We investigate the problem of learning category-specific 3D surface shap...
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05/29/2019
A Topology Layer for Machine Learning
Topology applied to real world data using persistent homology has starte...
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05/08/2019
ShapeGlot: Learning Language for Shape Differentiation
In this work we explore how fine-grained differences between the shapes ...
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04/21/2019
Deep Hough Voting for 3D Object Detection in Point Clouds
Current 3D object detection methods are heavily influenced by 2D detecto...
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04/18/2019
KPConv: Flexible and Deformable Convolution for Point Clouds
We present Kernel Point Convolution (KPConv), a new design of point conv...
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01/12/2019
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces
Reconstruction of geometry based on different input modes, such as image...
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01/09/2019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
The goal of this paper is to estimate the 6D pose and dimensions of unse...
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01/02/2019
Learning Generalizable Physical Dynamics of 3D Rigid Objects
Humans have a remarkable ability to predict the effect of physical inter...
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12/06/2018
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
We present PartNet: a consistent, large-scale dataset of 3D objects anno...
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11/29/2018
Topology-Aware Surface Reconstruction for Point Clouds
We provide an approach to utilize topological priors to reconstruct the ...
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08/03/2018
Parsing Geometry Using Structure-Aware Shape Templates
Real-life man-made objects often exhibit strong and easily-identifiable ...
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06/04/2018
Learning Scene Flow in 3D Point Clouds
Many applications in robotics and human-computer interaction can benefit...
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11/22/2017
Frustum PointNets for 3D Object Detection from RGB-D Data
While object recognition on 2D images is getting more and more mature, 3...
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06/07/2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Few prior works study deep learning on point sets. PointNet by Qi et al....
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12/02/2016
