Multi-faceted Deep Learning

1. Introduction.- 2. Deep Neural Networks: Models and methods.- 3. Deep learning for semantic segmentation.- 4. Beyond Full Supervision in Deep Learning.- 5. Similarity Metric Learning.- 6. Zero-shot Learning with Deep Neural Networks for Object Recognition.- 7. Image and Video Captioning using Deep Architectures.- 8. Deep Learning in Video Compression Algorithms.- 9. 3D Convolutional Networks for Action Recognition: Application toSport Gesture Recognition.- 10. Deep Learning for Audio and Music.- 11. Explainable AI for Medical Imaging:Knowledge Matters.- 12. Improving Video Quality with Generative Adversarial Networks.- 13. Conclusion.

Prof. Jenny Benois-Pineau is a full professor of Computer Science at the University Bordeaux. Her topics of interest include image/multimedia, artificial intelligence in multimedia and healthcare. She is the author and co-author of more than 200 papers in international journals, conference proceedings, books and book chapters. She is associated editor of Eurasip SPIC, ACM MTAP, senior associated editor JEI SPIE journals. She has organized workshops and special sessions at international conferences IEEE ICIP, ACM MM,... She has served in numerous program committees in international conferences: ACM MM, ACM ICMR, ACM CIVR, CBMI, IPTA, ACM MMM. She has been coordinator or leading researcher in EU - funded and French national research projects. She is a member of IEEE TC IVMSP. She has Knight of Academic Palms grade.

Dr. Akka Zemmari has received his Ph.D. degree from the University of Bordeaux 1, France, in 2000. He is an associate professor in computer science since 2001 at University of Bordeaux, France. His research interests include Artificial Intelligence, Deep Learning, Distributed algorithms and systems, Graphs, Randomized Algorithms, and Security. He wrote one book and more than 80 research papers published in international journals and conference proceedings and he is involved in program committees and organization committees of international conferences.