Kaichun Mo
29 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Diamond π£ Hot Topic Early Bird
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Deep Specialist
(16)
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Triple Crown
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Keyword Champion
(3)
π
Renaissance Researcher
(5)
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Trend Setter
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(134)
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Century Club Β· Bronze
Top co-authors
Research topics
Computer Vision
(21)
Analysis
(19)
Deep Learning
(14)
Artificial Intelligence
(12)
Core AI
(11)
Architectures
(10)
Machine Learning
(7)
Robotics
(6)
Reinforcement Learning
(5)
Capabilities
(5)
Core Methods
(5)
Applications
(3)
Generation
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Keywords
3d vision
(4)
robotic manipulation
(3)
articulated object
(3)
point cloud
(3)
physical simulation
(3)
instance segmentation
(3)
simulation environment
(2)
object representation
(2)
3d segmentation
(2)
affordance learning
(2)
semantic segmentation
(2)
graph neural network
(2)
object interaction
(2)
embodied agent
(2)
reinforcement learning
(2)
visual affordance
(2)
robot manipulation
(2)
motion forecasting
(1)
dynamic graph learning
(1)
graph learning
(1)
Papers
PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation
CVPR 2026
3D-MVP: 3D Multiview Pretraining for Manipulation
CVPR 2025
Category-Level Multi-Part Multi-Joint 3D Shape Assembly
CVPR 2024
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation
CVPR 2024
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
RSS 2024
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
ICCV 2023
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
ICLR 2023
JacobiNeRF: NeRF Shaping With Mutual Information Gradients
CVPR 2023
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing
WACV 2023
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots
CoRL 2023
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
ICML 2023
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
NeurIPS 2023
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions
ECCV 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
CVPR 2022
GIMO: Gaze-Informed Human Motion Prediction in Context
ECCV 2022
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
ICLR 2022
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
ICLR 2022
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
ICLR 2022
Learning to Regrasp by Learning to Place
CoRL 2021
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning
CoRL 2021
Where2Act: From Pixels to Actions for Articulated 3D Objects
ICCV 2021
Generative 3D Part Assembly via Dynamic Graph Learning
NeurIPS 2020
Learning 3D Part Assembly from a Single Image
ECCV 2020
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
ICLR 2020
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
ECCV 2020
SAPIEN: A SimulAted Part-Based Interactive ENvironment
CVPR 2020
StructEdit: Learning Structural Shape Variations
CVPR 2020
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
CVPR 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
CVPR 2017