Kaichun Mo

Orcid: 0000-0003-4365-5050

According to our database¹, Kaichun Mo authored at least 44 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

ACM Trans. Graph., April, 2024

3D-MVP: 3D Multiview Pretraining for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.

[BibT_eX]

[DOI]

CoRR, 2024

RHOBIN Challenge: Reconstruction of Human Object Interaction.

[BibT_eX]

[DOI]

CoRR, 2024

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XX, 2024

Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Category-Level Multi-Part Multi-Joint 3D Shape Assembly.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation.

[BibT_eX]

[DOI]

ACM Trans. Graph., February, 2023

Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

JacobiNeRF: NeRF Shaping with Mutual Information Gradients.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Learning compositional and actionable visual representations for 3D shapes.

[BibT_eX]

[DOI]

Kaichun Mo

PhD thesis, 2022

COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos.

[BibT_eX]

[DOI]

CoRR, 2022

DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation.

[BibT_eX]

[DOI]

CoRR, 2022

VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Object Pursuit: Building a Space of Objects via Discriminative Weight Generation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

GIMO: Gaze-Informed Human Motion Prediction in Context.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment.

[BibT_eX]

[DOI]

CoRR, 2021

Where2Act: From Pixels to Actions for Articulated 3D Objects.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning to Regrasp by Learning to Place.

[BibT_eX]

[DOI]

Shuo Cheng

Kaichun Mo

Lin Shao

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Compositionally Generalizable 3D Structure Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry.

[BibT_eX]

[DOI]

CoRR, 2020

Generative 3D Part Assembly via Dynamic Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Generative 3D Part Assembly via Dynamic Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning 3D Part Assembly from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

SAPIEN: A SimulAted Part-Based Interactive ENvironment.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

StructEdit: Learning Structural Shape Variations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

StructureNet: hierarchical graph networks for 3D shape generation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation.

[BibT_eX]

[DOI]

CoRR, 2018

2017

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

[BibT_eX]

[DOI]

Charles Ruizhongtai Qi

Hao Su

Kaichun Mo

Leonidas J. Guibas

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Accelerating Random Kaczmarz Algorithm Based on Clustering Information.

[BibT_eX]

[DOI]

Yujun Li

Kaichun Mo

Haishan Ye

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Kaichun Mo

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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