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Computer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29 – October 4, 2024, Proceedings, Part LXXXIV /

The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewe...

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Autor corporatiu: SpringerLink (Online service)
Altres autors: Leonardis, Aleš (Editor), Ricci, Elisa (Editor), Roth, Stefan (Editor), Russakovsky, Olga (Editor), Sattler, Torsten (Editor), Varol, Gül (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Col·lecció:Lecture Notes in Computer Science, 15142
Matèries:
Image processing > Digital techniques.
Computer vision.
Image processing.
Computer networks .
User interfaces (Computer systems).
Human-computer interaction.
Machine learning.
Computers, Special purpose.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Image Processing.
Computer Communication Networks.
User Interfaces and Human Computer Interaction.
Machine Learning.
Special Purpose and Application-Based Systems.
Accés en línia:https://doi.org/10.1007/978-3-031-72907-2
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Descripció
Sumari:The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as Computer vision, Machine learning, Deep neural networks, Reinforcement learning, Object recognition, Image classification, Image processing, Object detection, Semantic segmentation, Human pose estimation, 3D reconstruction, Stereo vision, Computational photography, Neural networks, Image coding, Image reconstruction and Motion estimation.
Descripció física:LXXXV, 480 p. 142 illus., 138 illus. in color. online resource.
ISBN:9783031729072
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-72907-2

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