The following speakers have been invited to present their work:
- Multi-View Capture of Dynamic Scenes by Edmond Boyer
- Deep Learning Networks – Architectural Evolution and Theoretical Foundation by C.-C. Jay Kuo
- Deep Structured Models for Human Activity Recognition by Greg Mori
- What can be derived from an instance? by Arnold Smeulders
- Learning one task after the other by Tinne Tuytelaars
- Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models by William M. Wells III