Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds

Author:

Dai Dengxin1ORCID,Vasudevan Arun Balajee2,Matas Jiri3ORCID,Van Gool Luc2ORCID

Affiliation:

1. Vision for Autonomous Systems Group, MPI for Informatics, Saarbrücken, Germany

2. Computer Vision Lab, ETH Zürich, Zrich, Switzerland

3. Center for Machine Perception, Czech Technical University, Prague, Czechia

Funder

Toyota Motor Europe via the Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Reference82 articles.

1. Digging Into Self-Supervised Monocular Depth Estimation

2. Evaluation of background subtraction techniques for video surveillance

3. Encoder-decoder with atrous separable convolution for semantic image segmentation;chen;Proc Eur Conf Comput Vis,2018

4. Neural synthesis of binaural speech from mono audio;richard;Proc Int Conf Learn Representations,2021

5. The role of head movements and vestibular and visual cues in sound localization.

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