Multimodal audio-visual information fusion using canonical-correlated graph neural network for energy-efficient speech enhancement
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Camera-based single-modal 3D object detection infers 3D information from 2D images; RGB images provide rich visual data but lack direct depth perception, requiring complex estimation, making detection vulnerable to occlusions, poor angles, and adverse weather.
“Camera-based single-modal 3D object detection [1, 72, 2, 3] infers 3D information from 2D images.While RGB images provide rich visual data, the lack of direct depth perception requires complex estimation techniques, making detection vulnerable to occlusions, poor angles, and adverse weather conditions.”
From Multimodal fusion and vision–language models: A survey for robot vision (2026) · cites this paper as [72]
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- Authors
- Passos, L. A., Papa, J. P., Del Ser, J., Hussain, A., & Adeel, A.
- Affiliations
- Universidade Estadual Paulista (Unesp) (BR)
- Edinburgh Napier University (GB)
- University of Wolverhampton (GB)
- Corresponding author
- Adeel, Ahsan
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 90
- Pages
- 1-11
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W4283832388
- Cited by
- 47
- References
- 35
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 19 · 2023: 7 · 2022: 1
- FWCI
- 4.38
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Information Fusion (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- TECNALIA Publications (Fundación TECNALIA Research & Innovation) (submittedVersion, public-domain)
- Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion, other-oa)
- arXiv (Cornell University) (cc-by)
- Funders
- Ministerio de Ciencia e Innovación
- Engineering and Physical Sciences Research Council (EP/T021063/1)
- Centro para el Desarrollo Tecnológico Industrial
- Eusko Jaurlaritza (IT1456-22)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- audio-visual speech enhancement, canonical correlation analysis, graph neural networks, multimodal representation learning, self-supervised learning, temporal context modeling
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