Seeing through Sounds: Predicting Visual Semantic Segmentation Results from Multichannel Audio Signals-Reference-Cited by-同舟云学术

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Seeing through Sounds: Predicting Visual Semantic Segmentation Results from Multichannel Audio Signals

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Irie Go,Ostrek Mirela,Wang Haochen,Kameoka Hirokazu,Kimura Akisato,Kawanishi Takahito,Kashino Kunio

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8671773/8682151/08683142.pdf?arnumber=8683142

Cited by 11 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. Procedurally generated AI compound media for expanding audial creations, broadening immersion and perception experience;International Journal of Electronics and Telecommunications;2024-06-25

2. Hear-Your-Action: Human Action Recognition by Ultrasound Active Sensing;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Listening Human Behavior: 3D Human Pose Estimation with Acoustic Signals;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-01-01

5. Self-Supervised Learning of Audio Representations From Audio-Visual Data Using Spatial Alignment;IEEE Journal of Selected Topics in Signal Processing;2022-10

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