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Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled “Advances in Deep Learning for Multimodal Fusion and Alignment” (SI 1177).
Of 43 papers submitted, 15 were accepted for this issue after a stringent peer review process.
Corresponding Guest Editor
Feiran Huang
Jinan University, China
Email: huangfr@jnu.edu.cn
Guest Editor
Shahid Mumtaz
Instituto de Telecomunicações, Aveiro, Portugal
Email: smumtaz@av.it.pt
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Advances in deep learning for multimodal fusion and alignment. Multimed Tools Appl 81, 11931 (2022). https://doi.org/10.1007/s11042-022-12955-4
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DOI: https://doi.org/10.1007/s11042-022-12955-4