Advanced Methods and Deep Learning in Computer Vision (Paperback)

1. The changing face of computer vision
2. Developments in machine learning: from deep networks to deep functional scene understanding
3. Adversarial examples in deep learning
4. Learning with reinforcement and limited supervision
5. Self-supervised event segmentation
6. Advanced methods for robust object detection
7. Recognition and tracking in scenes containing multiple moving objects
8. Domain adaptation and incremental learning for semantic segmentation
9. Methodologies for partial and complete face detection
10. Modern approaches to anomaly detection
11. Learning and reconstructing complex 3D objects from multiple views
12. Dynamics-based invariants for video analytics
13. State of the art on object re-identification
14. Principled methods for improving efficiency of deep neural networks
15. Methodology for long-term visual object tracking
16. Conditional image generation for learning the structure of visual objects
17. Domain adaptive deep learning
18. Combining model-based and deep learned-based approaches for image restoration