| _ | today | _ |
|---|---|---|
| Are we making real progress in computer vision | today | ? |
| Character Recognition in Practice | today | and Tomorrow |
| City of Tomorrow from the Data of | today | , The |
| Deep Tomographic Image Reconstruction: Yesterday, | today | , and Tomorrow: Editorial for the 2nd Special Issue Machine Learning for Image Reconstruction |
| Geometrical Computer Vision from Chasles to | today | |
| GIS | today | |
| How Efficient Are | today | 's Continual Learning Algorithms? |
| In Business | today | and Tomorrow |
| Keynotes: Multimedia-the past, | today | , and the future |
| Low Budget Mobile Laser Scanning Solution Using on Board Sensors and Field Bus Systems of | today | 's Consumer Automobiles, A |
| Review on the Possibilities and Challenges of | today | 's Soil and Soil Surface Assessment Techniques in the Context of Process-Based Soil Erosion Models, A |
| Schurmann-polynomials: Roots and offsprings their impact on | today | 's pattern recognition |
| today | the Earwig, Tomorrow Man? | |
| today | 's and Tomorrow's Medical Imaging | |
| today | 's and tomorrow's retrieval practice in the audiovisual archive | |
| today | 's Robotic Surgery Turns Surgical Trainees into Spectators: Medical Training in the Robotics Age Leaves Tomorrow's Surgeons Short on Skills |