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Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling.

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Title: Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling.
Authors: Abdein R; College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China. Electronic address: rokiaabdeen@hrbeu.edu.cn., Li W; College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China; Modeling and Emulation in E-Government National Engineering Laboratory, Harbin Engineering University, Harbin, 150001, China. Electronic address: weil.li@hrbeu.edu.cn., Chen Y; College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China. Electronic address: chenyidan@hrbeu.edu.cn., Li C; College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China. Electronic address: chli@hrbeu.edu.cn., Helal S; Computer Science and Engineering Department, University of Bologna, Bologna, Italy. Electronic address: sumi.helal@unibo.it., Youssef M; Department of Computer Science and Engineering, The American University in Cairo, Cairo, Egypt. Electronic address: moustafa-youssef@aucegypt.edu.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Jul; Vol. 199, pp. 108771. Date of Electronic Publication: 2026 Feb 24.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling.
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  Data: <searchLink fieldCode="AU" term="%22Abdein+R%22">Abdein R</searchLink>; College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China. Electronic address: rokiaabdeen@hrbeu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Li+W%22">Li W</searchLink>; College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China; Modeling and Emulation in E-Government National Engineering Laboratory, Harbin Engineering University, Harbin, 150001, China. Electronic address: weil.li@hrbeu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China. Electronic address: chenyidan@hrbeu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Li+C%22">Li C</searchLink>; College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China. Electronic address: chli@hrbeu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Helal+S%22">Helal S</searchLink>; Computer Science and Engineering Department, University of Bologna, Bologna, Italy. Electronic address: sumi.helal@unibo.it.<br /><searchLink fieldCode="AU" term="%22Youssef+M%22">Youssef M</searchLink>; Department of Computer Science and Engineering, The American University in Cairo, Cairo, Egypt. Electronic address: moustafa-youssef@aucegypt.edu.
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  Data: <searchLink fieldCode="JN" term="%228805018%22">Neural networks : the official journal of the International Neural Network Society</searchLink> [Neural Netw] 2026 Jul; Vol. 199, pp. 108771. <i>Date of Electronic Publication: </i>2026 Feb 24.
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        Value: 10.1016/j.neunet.2026.108771
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      – Code: eng
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      – TitleFull: Self-Supervised joint flow and depth estimation via Multi-Cue uncertainty modeling.
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              Text: 2026 Jul
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              Value: 199
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            – TitleFull: Neural networks : the official journal of the International Neural Network Society
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