Program

11 January 2021, 12:00 - 16:00 (CET)

12:00 - 12:15 Welcome from the chairs, Dr Alexandra Psarrou, Professor Sophie Triantaphillidou, Markos Mentzelopoulos

12:15 - 12:45 INVITED TALK 1 - Imaging and Metric Considerations for DNNS, Professor Robin Jenkin Ph.D M.Res ASIS FRPS, NVIDIA Corp, Santa Clara, California, USA & Visiting Professor, University of Westminster, UK

12:45 - 13:00 On the impact of rain over semantic segmentation of street scenes, Simone Zini, Marco Buzzelli

13:00 - 13:15 The impact of linear motion blur on object recognition efficiency of CNNs, José A. Rodríguez-Rodríguez, Miguel A. Molina Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio

10 minutes break

13:25 – 13:40 Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images, Karl Thurnhofer-Hemsi, Guillermo Ruiz-Álvarez, Rafael Marcos Luque-Baena, Miguel A. Molina Cabello, Ezequiel López-Rubio

13:40 – 13:55 The effect of noise and brightness on convolutional deep neural networks, José A. Rodríguez-Rodríguez, Miguel A. Molina Cabello, Rafaela Benítez-Rochel, Ezequiel López-Rubio

Coffee break (13:55-14:25 CET)

14:25 – 14:55 INVITED TALK 2 - Impact of Color on Deep Convolutional Neural Networks, Professor Marius Pedersen, Norwegian University of Science and Technology (NTNU)

14:55-15:10 Exploring the Contributions of Low-light Image Enhancement to Network-based Object Detection, Yuen Peng Loh

10 minutes break

15:20 – 15:35 Multi-level Fusion based Deep Convolutional Network for Image Quality Assessment, Qianyu Guo, Jing Wen

15:35 – 15:50 CNN Based Predictor of Face Image Quality, Andrii Yermakov, Vojtech Franc

15:50 – 16:00 Closing remarks