I am a 4th year PhD student at the Computer Vision group in Max Planck Institute for Informatics under the supervision of Prof. Bernt Schiele. My primary interest is developing learning models of the world that require minimal supervision. During the course of my doctoral studies I have been working on human pose estimation in unconstrained scenes and unsupervised learning of 3D representations. I had the pleasure to do an internship at the Intelligent Systems Lab at Intel led by Vladlen Koltun. I obtained my master’s degree in Visual Computing from the Saarland University.
My keypoint detection algorithm from the DeeperCut paper and its implementation served as the foundation for DeepLabCut, a toolbox for studying the behavior of animals in the lab setting developed by neuroscientists at the Universities of Tübingen and Harvard. The toolbox gained significant popularity and is now used in more than 200 labs for a variety of tracking tasks. It is discussed in the corresponding Nature Neuroscience paper and was covered in the popular media such as The Harvard Gazette and The Atlantic.
We gave a real-time demonstration of our Multi-person Body Pose Estimation algorithm at ECCV 2016.
Probabilistic Graphical Models and their Applications
Winter 2015, Winter 2016
Supplementary Programming Languages (Python)
Bashkir State University