The Computer Vision Group conducts research in the field of automatic image interpretation and perceptual scene understanding. The group targets both medical applications, such as the development of new and more effective methods and systems for analysis, support and diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion and object recognition. The main research problems include mathematical theory, algorithms and machine learning (deep learning) for inverse problems in artificial intelligence.
Topic 1: Learning and Leveraging Rich Priors for Factorization Problems
Topic 2: Energy-based models for supervised deep neural networks and their applications
Further details:
2 PhD student positions in AI at Chalmers University