Main research interests: 3D perception, reconstruction, generation
Selected Publications
Spacetime Surface Regularization for Neural Scene Reconstruction
Jaesung Choi, Christopher Choy, Anima Anandkumar, and Jaesik ParkICCV, 2023
Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids
Wei Dong, Christopher Choy, Charles Loop, Or Litany, Yuke Zhu, and Anima AnandkumarCVPR, 2023
Acid: Action-conditional implicit visual dynamics for deformable object manipulation
Bokui Shen, Zhenyu Jiang, Christopher Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, and Yuke ZhuRSS, 2022, Best Student Paper Award Finalist
Self-Calibrating Neural Radiance Fields
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Anima Anandkumar, Minsu Cho, and Jaesik ParkICCV, 2021
Discobox: Weakly supervised Instance Segmentation and Semantic Correspondence from Box Supervision
Shiyi Lan, Zhiding Yu, Christopher Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S Davis, and Anima AnandkumarComputer Vision and Pattern Recognition (CVPR), 2021
High-dimensional Convolutional Networks for Geometric Pattern Recognition
Christopher Choy, Junha Lee, Rene Ranftl, Jaesik Park, and Vladlen KoltunComputer Vision and Pattern Recognition (CVPR), 2020, Oral
Deep Global Registration
Christopher Choy, Wei Dong, and Vladlen KoltunComputer Vision and Pattern Recognition (CVPR), 2020, Oral
Fully Convolutional Geometric Features
Christopher Choy, Jaesik Park, and Vladlen KoltunInternational Conference on Computer Vision (ICCV), 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Christopher B. Choy, JunYoung Gwak, and Silvio SavareseComputer Vision and Pattern Recognition (CVPR), 2019
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen, Christopher B. Choy, Manolis Savva, Angel Chang, Thomas Funkhouser, and Silvio SavareseAsian Conference on Computer Vision (ACCV) 2018
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image
Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher Choy, and Silvio SavareseIEEE Winter Conference on Applications of Computer Vision (WACV), 2018
Weakly Supervised 3D Reconstruction with Manifold Constraint
Christopher B. Choy*, JunYoung Gwak*, Animesh Garg, Manmohan Chandraker, and Silvio SavareseInternational Conference on 3D Vision (3DV), 2017
Scene Graph Generation by Iterative Message Passing
Danfei Xu, Yuke Zhu, Christopher B. Choy, and Li Fei-FeiComputer Vision and Pattern Recognition (CVPR), 2017
DESIRE: Deep Stochastic IOC RNN Encoder-decoder for Distant Future Prediction in Dynamic Scenes with Multiple Interacting Agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, and Manmohan ChandrakerComputer Vision and Pattern Recognition (CVPR), 2017, Spotlight Oral
SegCloud: Segmantic Segmentation of 3D Point Clouds
Lyne Tchapmi, Christopher B. Choy, Iro Armeni, JunYoung Gwak, and Silvio SavareseProceedings of the International Conference on 3D Vision, 2017
Universal Correspondence Network
Christopher B. Choy, JunYoung Gwak, Silvio Savarese, and Manmohan ChandrakerNeural Information Processing Systems (NIPS), 2016, Oral
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio SavareseEuropean Conference of Computer Vision (ECCV), 2016
Ph.D. Thesis
High dimensional Convolutional Neural Networks for 3D Perception
Christopher ChoyStanford Library (2020)
Preprints
Patents
- Universal correspondence network, US Patent App. 10/115,032
- Systems and Methods for Semantic Segmentation of 3D Point Clouds, US Patent App. 16/155,843
Open-source Projects
- Minkowski Engine, an auto-diff library for sparse tensors code
- Fully Convolutional Geometric Features, fast and accurate 3D feature code
- 3D Recurrent Reconstruction Neural Network code
- Fully Differentiable Deep Neural Decision Forest code
- Python GPU Accelerated K-Nearest Neighbor code
Talks
Click to expand
- Optimization in Neural Networks, Stanford Deep Learning Reading Group, CA, USA, July 14th 2017, slides.
- Toyota Research Institute, Weakly Supervised Generative Adversarial Network for 3D Reconstruction, CA, USA, June 14th 2017.
- Stanford Faculty Lunch, Learning to Perceive the 3D World, April 18th 2017, CA, USA, slides.
- Apple Deep Learning Reading Group, Weakly Supervised Generative Adversarial Network for 3D Reconstruction, CA, USA, Feb 26th 2017, slides.
- Stanford Vision Reading Group, Wasserstein GAN and Bidirectional GAN, CA, USA, January 2017, slides.
- Neural Information Processing Systems, Oral, Universal Correspondence Networks, Barcelona, Spain, December 2016, slides.
- European Conference on Computer Vision, Amsterdam, Netherlands, ObjectNet3D, Spotlight Oral, October 2016.
- Korea Advanced Institute of Science and Technology, Universal Correspondence Networks and 3D Recurrent Reconstruction Neural Networks, Daejeon, Korea, June 2016.
- NVIDIA GTC Hangout: Deep Learning in Image and Video 2016, 3D Recurrent Reconstruction Neural Networks, CA, USA, April 6th 2016.
- Stanford Deep Learning Reading Group, Decision Forest and Deep Neural Decision Forest, CA, USA, Feb 2016, slides.
Teaching
- CS231A Teaching Assistant, 2015
Coursework
Click to expand
- Computer Vision
- Machine Learning
- Information Theory
- Stochastic Control
- Stochastic Processes
- Mathematical Analysis
- Convex Optimization I
- Convex Optimization II
- Mining Massive Data Sets
- Statistical Signal Processing
- Interactive Computer Graphics
- Probabilistic Graphical Models
- Modern Applied Statistics: Learning
- Modern Applied Statistics: Data Mining
- Convolutional Neural Networks For Visual Recognition
Education
- Ph.D. in EE at Stanford University
- M.S. in EE at Stanford University
- B.S. in EE at Korea Advanced Institute of Science and Technology
- Summa Cum Laude
Honors and Awards
- Winner of the 2019 ScanNet Semantic Segmentation Challenge
- Stanford SystemX FMA Fellowship
- The Korea Foundation for Advanced Studied, Ph.D. Fellowship
- The 5th Presidential Science Fellowship for Undergraduate Study
- Korea Advanced Institute of Science and Technology EECS Merit Scholarship for Best Performance
- Korea Advanced Institute of Science and Technology Alumni Chairman’s Award
- Korea Science Olympiad, Junior High, Gold Medal
News
- 2020-07-14: Two papers got accepted for ECCV 2020.
- 2020-06-10: I will give an invited talk at the ScanNet workshop, CVPR 2020. slides
- 2020-05-07: I will give an invited talk at the Stanford Vision and Learning Lab quarterly talk series on June 11.
- 2020-05-07: I will give an invited talk at AIBee seminar on May 20.
- 2020-04-06: Joined NVIDIA Research as a Research Scientist.
- 2020-03-23: Two papers got accepted for oral presentations at CVPR2020.
- 2020-02-12: I passed the PhD oral exam slides, thesis.
- 2020-01-14: I will give an invited talk at KAIST.
- 2020-01-13: I will give an invited talk at Pohang University of Science and Technology (POSTECH).
- 2019-10-30: Open-sourced the code for Open Universal Correspondence Network.
- 2019-09-28: Open-sourced the code for Fully Convolutional Geometric Features, ICCV'19.
- 2019-07-12: I will be visiting the Technical University of Munich (TUM) Visual Computing Group led by Prof. Matthias Nießner from mid August for about a month.
- 2019-06-19: I will give an invited talk at the CVPR'19 ScanNet workshop.
- 2019-04-19: I will give an invited talk at Pohang University of Science and Technology (POSTECH).
- 2019-01-09: I will start my internship at the Intel Intelligent Systems Lab led by Vladlen Koltun.
- 2018-11-16: I won the 2019 ScanNet 3D Semantic Segmentation Challenge by a large margin.