Advanced Methods and Deep Learning in Computer Vision: Computer Vision and Pattern Recognition

The dramatically changing face of computer vision
Advanced methods for robust object detection
Learning with limited supervision
Efficient methods for deep learning
Deep conditional image generation
Deep face recognition using full and partial face images
Unsupervised domain adaptation using shallow and deep representations
Domain adaptation and continual learning in semantic segmentation
Visual tracking
Long-term deep object tracking
Learning for action-based scene understanding
Self-supervised temporal event segmentation inspired by cognitive theories
Probabilistic anomaly detection methods using learned models from time-series data for multimedia self-aware
Deep plug-and-play and deep unfolding methods for image restoration
Visual adversarial attacks and defenses