Cross-modal Depth Perception
Cross-Modal Depth Perception is a computational framework that integrates depth cues from disparate sensory modalities—such as visual and auditory inputs—by leveraging their spatiotemporal correspondences to generate a unified, metrically consistent representation of three-dimensional space.
6
Publications
278
Citations
21
Authors
12
Institutions
Publications per year
2017–2026
2
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UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
16 publications
1.4K citations
Hangzhou Normal University
Hangzhou, China
1 h-index
1 publications
32 citations
University of Portsmouth
Portsmouth, United Kingdom
1 h-index
1 publications
32 citations
Centre for Development of Advanced Computing
Pune, India
1 h-index
1 publications
25 citations
Under Armour (United States)
Baltimore, United States
1 h-index
1 publications
25 citations

Indian Institute of Technology Kanpur
Kanpur, India
1 h-index
2 publications
50 citations
New York University
New York, United States
1 h-index
3 publications
105 citations

East China Normal University
Shanghai, China
1 h-index
1 publications
32 citations
1–8 of 12
Conference · 1 publications · 25 citations
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1 publications · 35 citations
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1 publications · 32 citations
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1 publications · 130 citations
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1 publications · 44 citations
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