Multisensory Object Recognition
Multisensory Object Recognition is a cognitive and computational process that integrates information from multiple sensory modalities to form a unified perceptual representation of an object, distinguished from unimodal recognition by its reliance on cross-modal convergence to enhance accuracy, robustness, and contextual adaptability in object identification.
38
Publications
2.8K
Citations
116
Authors
61
Institutions
Publications per year
2017–2026
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1–5 of 38
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Laboratoire d'Analyse et d'Architecture des Systèmes, France
2 publications · 32 citations
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2
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1–5 of 116
61

Trinity College Dublin
Dublin, Ireland
2 h-index
4 publications
96 citations
Emory University
Atlanta, United States
2 h-index
6 publications
294 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
36 citations
Max Planck Institute for Biological Cybernetics
Tübingen, Germany
2 h-index
5 publications
250 citations

University of Bath
Bath, United Kingdom
1 h-index
3 publications
69 citations
Institute for Soil Sciences
Budapest, Hungary
1 h-index
1 publications
12 citations
University of Virginia
Charlottesville, United States
1 h-index
2 publications
34 citations
Boys Town National Research Hospital
Omaha, United States
1 h-index
1 publications
43 citations
1–8 of 61
2 publications · 167 citations
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2 publications · 135 citations
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1 publications · 17 citations
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1 publications · 14 citations
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1 publications · 43 citations
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