Marco Körner

Weight loss could result from a number of reasons, water loss, muscle degradation, and you need to be certain that you're gaining muscles and losing body fats. During the challenge you're going to be educated in how to eat and exercise to make the most of your weight loss and you're going to be inspired to adhere to your plan. Weight loss is one thing which can greatly enhance the way that people feel about themselves which improves performance. When others notice your successful weight reduction, it provides you an excellent sense of achievement.

Many heeded the challenge to create fantastic changes in their way of life and be in a position to live much healthier and fitter body throughout the course of their life. Before you set out your weight-loss challenge, you must understand three important keys. Our Weight Loss Challenge makes it possible to get fit, shed weight and adopt wholesome eating and exercise habits. It delivers the perfect combination of the two in a positive, energetic environment that has been proven to get you the results you want. The greatest weight-loss challenge operates by motivating people to shed weight through competition.

In case the Challenge included group fitness programs make sure that they are accessible for all exercise levels. The next thing which you are able to do is to join a weight reduction challenge. A successful weight reduction challenge is one which is intended to support your aims and that empowers you to create adjustments to your way of life and habits.

Marco Körner


Marco Körner is a computer scientist with expertise in computer vision and machine learning. During his doctorate, he was involved in several
methodological and application-oriented research projects, e.g., with connections to bio-medical image processing, automotive computer vision, or document analysis.
In 2014, he became the deputy head of the Chair of Remote Sensing Technology at Technical University of Munich (TUM) to form and lead the Computer Vision
Research Group, which mission is to apply existing and develop innovative CV and ML concepts for tackling problems from Remote Sensing and Earth Observation. Here, he is particularly interested in the exploitation of the inherent multi-temporal, multi-scalar, and multi-temporal properties of RS data. A special focus of his research group is in Deep Learning, particularly employing complex and recurrent architectures.

All sessions by Marco Körner