Christopher B. Choy

Orcid: 0000-0002-6566-3193

Affiliations:
  • NVIDIA
  • Stanford University, Vision and Learning Lab, CA, USA (PhD 2020)


According to our database1, Christopher B. Choy authored at least 29 papers between 2015 and 2024.

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Bibliography

2024
Improving Distant 3D Object Detection Using 2D Box Supervision.
CoRR, 2024

2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Neural Scene Representation for Locomotion on Structured Terrain.
IEEE Robotics Autom. Lett., 2022

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

PeRFception: Perception using Radiance Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Putting 3D Spatially Sparse Networks on a Diet.
CoRR, 2021

Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Calibrating Neural Radiance Fields.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Generative Sparse Detection Networks for 3D Single-Shot Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans.
Proceedings of the Computer Vision - ECCV 2020, 2020

High-Dimensional Convolutional Networks for Geometric Pattern Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Global Registration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Fully Convolutional Geometric Features.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Weakly Supervised Generative Adversarial Networks for 3D Reconstruction.
CoRR, 2017

Scene Graph Generation by Iterative Message Passing.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

SEGCloud: Semantic Segmentation of 3D Point Clouds.
Proceedings of the 2017 International Conference on 3D Vision, 2017

Weakly Supervised 3D Reconstruction with Adversarial Constraint.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Universal Correspondence Network.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

ObjectNet3D: A Large Scale Database for 3D Object Recognition.
Proceedings of the Computer Vision - ECCV 2016, 2016

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Enriching object detection with 2D-3D registration and continuous viewpoint estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015


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