Devis Tuia

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.

Devis Tuia


Devis Tuia is associate professor at the GeoInformation Science and Remote Sensing group of Wageningen University and Research (the Netherlands). He received his Msc and PhD degrees from the University of Lausanne, Switzerland, with a thesis studying kernel methods for VHR remote sensing of cities. During his following postdoctoral appointments at the University of València (Spain), CU Boulder (CO) and EPFL Lausanne, he pursued research towards the integration of multiple remote sensing data sources, domain generalization and structured learning. In the period 2014-2017 he was assistant professor at the University of Zurich (Switzerland), where he led the “Multimodal remote sensing” group focused on development of machine learning strategies for fusing heterogeneous geospatial data sources. In 2017, he joined Wageningen University.

He was the chair of the Image Analysis and Data Fusion technical committee of the IEEE Geoscience and Remote sensing Society (2014-2017) and the organizer of the EarthVision workshops in 2015 and 2017, both held in CVPR, the most prestigious computer vision conference worldwide. Since 2015, he is technical chair of the Joint Urban Remote Sensing Event, the leader conference in urban remote sensing. In 2016, he was awarded the U.V. Helava Award for the best paper in the Journal of the ISPRS for the period 2012-2015.

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