Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Finding Fallen Objects Via Asynchronous Audio-Visual Integration

Finding Fallen Objects Via Asynchronous Audio-Visual Integration

Thumbnail Image
Download
Name

2207.03483.pdf

Description
Accepted version
Size

11.13 MB

Format

Adobe PDF

Checksum (MD5)

cd8e881b5f8467330c66542fc4688614

sword-2023-03-30T16:30:15.original.xml (130 B)
Original SWORD entry document
Author(s)
Gan, Chuang
•
Gu, Yi
•
Zhou, Siyuan
•
Schwartz, Jeremy
•
Alter, Seth
•
Traer, James
•
Gutfreund, Dan
•
Tenenbaum, Joshua B
•
McDermott, Josh H
•
Torralba, Antonio
Date Issued
2022
Journal
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Gan, Chuang, Gu, Yi, Zhou, Siyuan, Schwartz, Jeremy, Alter, Seth et al. 2022. "Finding Fallen Objects Via Asynchronous Audio-Visual Integration." 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Version
Author's final manuscript
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/150014
DOI of Published Version
https://doi.org/10.1109/CVPR52688.2022.01027
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.