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LIM 2021
- London Imaging Meeting: Imaging for Deep Learning, LIM 2021, September 20-22, Online. Society for Imaging Science and Technology 2021
Articles
- London Imaging Meeting 2021: Imaging for Deep Learning. 0
- Nicolas Chahine, Salim Belkarfa:
Portrait Quality Assessment using Multi-Scale CNN. 5-10
Front Matter and Introduction
- Graham D. Finlayson, Sophie Triantaphillidou:
Introduction to LIM from the Series Chair. 9
Articles
- Marco Leonardi, Paolo Napoletano, Alessandro Rozza, Raimondo Schettini:
Modeling image aesthetics through aesthetics-related attributes. 11-15 - Apostolia Tsirikoglou, Marcus Gladh, Daniel Sahlin, Gabriel Eilertsen, Jonas Unger:
Generative inter-class transformations for imbalanced data weather classification. 16-20 - Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh:
Visual Scan-Path based Data-Augmentation for CNN-based 360-degree Image Quality Assessment. 21-26 - Imad Eddine Marouf, Luca Barras, Hakki Can Karaimer, Sabine Süsstrunk:
Joint Unsupervised Infrared-RGB Video Registration and Fusion. 38-42 - Mekides Assefa Abebe:
Content Fidelity of Deep Learning Methods for Clipping and Over-exposure Correction. 43-48 - Mirko Agarla, Luigi Celona:
On the Semantic Dependency of Video Quality Assessment Methods. 49-53 - Lindsay MacDonald, Katarina Mayer:
Camera Colour Correction using Neural Networks. 54-57 - Patrick Müller, Mattis Brummel, Alexander Braun:
Spatial recall index for machine learning algorithms. 58-62 - Simone Bianco, Marco Buzzelli:
Image understanding for color constancy and vice versa. 63-67 - Ghalia Hemrit, Joseph P. Meehan:
Revisiting and Optimising a CNN Colour Constancy Method for Multi-Illuminant Estimation. 68-72 - Pak Hung Chan, Georgina Souvalioti, Anthony Huggett, Graham Kirsch, Valentina Donzella:
The data conundrum: compression of automotive imaging data and deep neural network based perception. 78-82 - Christian Krebs, Patrick Müller, Alexander Braun:
Impact of Windshield Optical Aberrations on Visual Range Camera Based Classification Tasks Performed by CNNs. 83-87 - Oliver van Zwanenberg, Sophie Triantaphillidou, Robin B. Jenkin, Alexandra Psarrou:
Natural Scene Derived Camera Edge Spatial Frequency Response for Autonomous Vision Systems. 88-92 - Jake McVey, Graham D. Finlayson:
Towards a Generic Neural Network Architecture for Approximating Tone Mapping Algorithms. 93-96 - Joan Prats-Climent, Luis Gómez-Robledo, Rafael Huertas, Sergio García-Nieto, María José Rodríguez-Álvarez, Samuel Morillas:
A study of neural network-based LCD display characterization. 97-100 - Salim Belkarfa, Ahmed Hakim Choukarah, Marcelin Tworski:
Automatic Noise Analysis on Still Life Chart. 101-105
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