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Computer Vision Group Jena
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We are proud to announce that Martin Thümmel won with his master thesis

"Extension and Evaluation of LSD-SLAM for Omnidirectional Cameras in Automotive Applications"

an award in conjunction with the Start-Up and Innovation Day 2017 in Jena! The master thesis was created in a joint project between the Computer Vision Group Jena and Valeo Schalter und Sensoren GmbH situated in Kronach.

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Our group, represented by Yanira Guanche, has been granted with 2 graphic cards (NVIDIA GeForce Titan Xp), donated by NVIDIA Corporation within their program NVIDIA GPU Grant Program.

With this hardware donation, they support academic research on cutting-edge topics. These graphic cards will be mainly used within our research lines on Climate and Environmental Sciences, Semantic Segmentation and Incremental and Active Learning Techniques among others.
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We are proud to announce that Alexander Freytag won the Klaus Tschira Award for understandable Science.
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We are proud to announce that Alexander Freytag won the DAGM MVTec Dissertation Award in Basel.

The topic of Alexander's disseration was "Lifelong Learning for Visual Recognition Systems".
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We published a nice demo video of a master thesis project.
In this work a LSD-SLAM algorithm is extented to using wide angle cameras for a large field of view way above 100°.
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We received a very positive feedback about the deep learning tutorial given by +Erik Rodner and +Alexander Freytag. Thanks for everyone who attended the event.
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Our group recently presented two papers at #BMVC2016 in York:

"Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches" by Erik Rodner, Marcel Simon, Bob Fisher, and Joachim Denzler:

"Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets" by Manuel Amthor, Erik Rodner, and Joachim Denzler.
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Alex Freytag will hold his PhD defense entitled with "Lifelong Learning for Visual Recognition Systems".
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We will hold a tutorial on deep learning! Interested? Join this course! More information at http://www.mscj.uni-jena.de/deeplearning/
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