Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction-Reference-Cited by-同舟云学术

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Hong Yining¹,Mo Kaichun²,Yi Li³,Guibas Leonidas J.²,Torralba Antonio⁴,Tenenbaum Joshua B.⁵,Gan Chuang⁶

Affiliation:

1. UCLA

2. Stanford University

3. Tsinghua University

4. MIT

5. MIT BCS, CBMM, CSAIL

6. MIT-IBM Watson AI Lab

Funder

ONR

NSF

ARL

MERL

Autodesk

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879741.pdf?arnumber=9879741

Reference76 articles.

1. Learning to see physics via visual de-animation;jiajun;Advances in neural information processing systems,2017

2. Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes

3. Model predictive neural control of a high-fidelity helicopter model

4. A learning approach for real-time temporal scene flow estimation from LIDAR data

5. Understanding tools: Task-oriented object modeling, learning and recognition

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