Insufficiency of labeled training data is a major obstacle for automatically annotating large-scale video databases with semantic concepts. Existing semi-supervised learning algorithms based on parametric models try to tackle this issue by incorpora
Thomas Brox is interested in all aspects of computer vision with special focus on video analysis (optical flow estimation, motion segmentation, learning from videos, detection in videos)