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Submissions from 2019

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Denoising RENOIR Image Dataset with DBSR, Fatma Albluwi, Vladimir A. Krylov, and Rozenn Dahyot

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Solid Spherical Energy (SSE) CNNs for Efficient 3D Medical Image Analysis, Vincent Andrearczyk, Valentin Oreiller, Julien Fageot, Xavier Montet, and Adrien Depeursinge

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MouldingNet: Deep-learning for 3D Object Reconstruction, Tobias Burns, Barak Pearlmutter, and John B. McDonald

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Entropic Regularisation of Robust Optimal Transport, Rozenn Dahyot, Hana Alghamdi, and Mairead Grogan

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A Simple Deep Learning Architecture for City-scale Vehicle Re-identification, Eleni Kamenou, Jesus Martinez del Rincon, Paul Miller, and Patricia Devlin-Hill

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Deep Convolutional Neural Networks for Estimating Lens Distortion Parameters, Sebastian Lutz, Mark Davey, and Aljosa Smolic

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Comparing Data Augmentation Strategies for Deep Image Classification, Sarah O'Gara and Kevin McGuinness

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Deep CNN Frameworks for Comparison for Malaria Diagnosis, Priyadarshini Adyasha Pattanaik, Zelong Wang, and Patrick Horain

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Place Recognition in Challenging Conditions, Saravanabalagi Ramachandran and John McDonald

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Pathological Speech Classification Using a Convolutional Neural Network, Nam H. Trinh and Darragh O'Brien