Kaichun Mo | DeepAI

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Joshua B. Tenenbaum
180 publications
Jie Yang
158 publications
Liwei Wang
155 publications
Antonio Torralba
148 publications
Hao Su
119 publications
Chuang Gan
115 publications
Qi Li
109 publications
Leonidas Guibas
102 publications
Zhe Lin
100 publications
Tao Yu
92 publications
Hang Zhao
78 publications

∙ 09/14/2023

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

Articulated object manipulation is a fundamental yet challenging task in...

0 Chuanruo Ning, et al. ∙

∙ 04/01/2023

JacobiNeRF: NeRF Shaping with Mutual Information Gradients

We propose a method that trains a neural radiance field (NeRF) to encode...

0 Xiaomeng Xu, et al. ∙

∙ 11/01/2022

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

We propose Seg Struct, a supervised learning framework leveraging the ...

0 Jeonghyun Kim, et al. ∙

∙ 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...

9 Boxiao Pan, et al. ∙

∙ 07/05/2022

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

It is essential yet challenging for future home-assistant robots to unde...

3 Yan Zhao, et al. ∙

∙ 05/05/2022

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction

This paper studies the problem of fixing malfunctional 3D objects. While...

15 Yining Hong, et al. ∙

∙ 04/20/2022

GIMO: Gaze-Informed Human Motion Prediction in Context

Predicting human motion is critical for assistive robots and AR/VR appli...

5 Yang Zheng, et al. ∙

∙ 12/19/2021

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

Part assembly is a typical but challenging task in robotics, where robot...

6 Mingxin Yu, et al. ∙

∙ 12/15/2021

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

We propose a framework to continuously learn object-centric representati...

4 Chuanyu Pan, et al. ∙

∙ 12/10/2021

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

Building embodied intelligent agents that can interact with 3D indoor en...

5 Qi Li, et al. ∙

∙ 12/01/2021

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

Perceiving and interacting with 3D articulated objects, such as cabinets...

7 Yian Wang, et al. ∙

∙ 09/18/2021

Learning to Regrasp by Learning to Place

In this paper, we explore whether a robot can learn to regrasp a diverse...

5 Shuo Cheng, et al. ∙

∙ 06/29/2021

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

Contrary to the vast literature in modeling, perceiving, and understandi...

2 Kaichun Mo, et al. ∙

∙ 06/28/2021

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

Perceiving and manipulating 3D articulated objects (e.g., cabinets, door...

0 Ruihai Wu, et al. ∙

∙ 12/04/2020

Compositionally Generalizable 3D Structure Prediction

Single-image 3D shape reconstruction is an important and long-standing p...

11 Songfang Han, et al. ∙

∙ 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...

2 Jie Yang, et al. ∙

∙ 06/14/2020

Generative 3D Part Assembly via Dynamic Graph Learning

Autonomous part assembly is a challenging yet crucial task in 3D compute...

27 Jialei Huang, et al. ∙

∙ 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...

11 He Wang, et al. ∙

∙ 03/21/2020

Learning 3D Part Assembly from a Single Image

Autonomous assembly is a crucial capability for robots in many applicati...

8 Yichen Li, et al. ∙

∙ 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 ...

7 Kaichun Mo, et al. ∙

∙ 03/19/2020

SAPIEN: A SimulAted Part-based Interactive ENvironment

Building home assistant robots has long been a pursuit for vision and ro...

8 Fanbo Xiang, et al. ∙

∙ 02/16/2020

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

We address the problem of discovering 3D parts for objects in unseen cat...

11 Tiange Luo, et al. ∙

∙ 11/25/2019

StructEdit: Learning Structural Shape Variations

Learning to encode differences in the geometry and (topological) structu...

11 Kaichun Mo, et al. ∙

∙ 08/01/2019

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

The ability to generate novel, diverse, and realistic 3D shapes along wi...

5 Kaichun Mo, et al. ∙

∙ 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...

8 Kaichun Mo, et al. ∙

∙ 02/24/2018

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

Deep reinforcement learning (DRL) demonstrates its potential in learning...

0 Kaichun Mo, et al. ∙

∙ 12/02/2016

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

Point cloud is an important type of geometric data structure. Due to its...

0 Charles R. Qi, et al. ∙

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