Submissions from 2019
Denoising RENOIR Image Dataset with DBSR, Fatma Albluwi, Vladimir A. Krylov, and Rozenn Dahyot
Solid Spherical Energy (SSE) CNNs for Efficient 3D Medical Image Analysis, Vincent Andrearczyk, Valentin Oreiller, Julien Fageot, Xavier Montet, and Adrien Depeursinge
MouldingNet: Deep-learning for 3D Object Reconstruction, Tobias Burns, Barak Pearlmutter, and John B. McDonald
Entropic Regularisation of Robust Optimal Transport, Rozenn Dahyot, Hana Alghamdi, and Mairead Grogan
A Simple Deep Learning Architecture for City-scale Vehicle Re-identification, Eleni Kamenou, Jesus Martinez del Rincon, Paul Miller, and Patricia Devlin-Hill
Deep Convolutional Neural Networks for Estimating Lens Distortion Parameters, Sebastian Lutz, Mark Davey, and Aljosa Smolic
Comparing Data Augmentation Strategies for Deep Image Classification, Sarah O'Gara and Kevin McGuinness
Deep CNN Frameworks for Comparison for Malaria Diagnosis, Priyadarshini Adyasha Pattanaik, Zelong Wang, and Patrick Horain
Place Recognition in Challenging Conditions, Saravanabalagi Ramachandran and John McDonald
Pathological Speech Classification Using a Convolutional Neural Network, Nam H. Trinh and Darragh O'Brien