The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects-Reference-Cited by-同舟云学术

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The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Gao Ruohan¹,Dou Yiming¹,Li Hao¹,Agarwal Tanmay¹,Bohg Jeannette¹,Li Yunzhu¹,Fei-Fei Li¹,Wu Jiajun¹

Affiliation:

1. Stanford Univeristy

Funder

NSF

ONR MURI

AFOSR YIP

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203718.pdf?arnumber=10203718

Reference76 articles.

1. NUS-WIDE

2. Scene representation networks: Continuous 3D-structure-aware neural scene representations;sitzmann;NeurIPS,2019

3. 3D-R2N2: A unified approach for single and multi-view 3D object reconstruction;choy;ECCV,2016

4. Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing

5. A Tutorial on the Cross-Entropy Method

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Physical scene understanding;AI Magazine;2024-02-09

2. Generating Visual Scenes from Touch;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

3. Visually Guided Sound Source Separation With Audio-Visual Predictive Coding;IEEE Transactions on Neural Networks and Learning Systems;2023

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