“Variational modeling meets learning”
Topics of Interest
- Computer Vision: Variational methods, convex relaxation methods, lifting approaches, image processing, image segmentation, 3D reconstruction,stereo, motion estimation.
- Optimization: First-order primal-dual algorithms, accelerated gradient methods, non-smooth and non-convex optimization. Machine learning: Data-driven inverse problem, learning with energy-based models, bilevel optimization, Markov random fields.