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Computer Vision Group Jena
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Computer Vision Group Jena's posts

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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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We just released two datasets of chimpanzee faces which additionally come with curated meta data (e.g., age, gender, and identity). Check out the dataset webpage http://www.inf-cv.uni-jena.de/chimpanzee_faces.html for further details. The shortest path to the data is by cloning from the the GitHub project https://github.com/cvjena/chimpanzee_faces .

Thanks to our great partners from MPI for Evolutionary Anthropology and Fraunhofer Institute for Digital Media Technology for their support!

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We are pleased to announce that we have won the Best Paper Award of the ICML - Anomaly Detection Workshop by our work:
“Maximally Divergent Intervals for Anomaly Detection” by +Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel Mahecha, Paul Bodesheim, Markus Reichstein and Joachim Denzler.
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Our group got two papers accepted for this year's #GCPR2016!
"Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates" by +Alexander Freytag, +Erik Rodner,  Marcel Simon, Alexander Loos, Hjalmar Kühl, and Joachim Denzler
"Large-scale Active Learning with Approximated Expected Model Output Changes" by Christoph Käding, +Alexander Freytag, +Erik Rodner , Andrea Perino, and Joachim Denzler.
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2016-06-06
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We are proud to announce that our students Martin Thümmel and Felix Schneider won the 1st edition of AICO (ADAS innovation challenge open for young professionals and students), an international algorithm design competition open to worldwide young professionals and students who are interested in image processing, computer vision and pattern recognition. The topic of the challenge was "detection of moving construction site" where contestants had to provide image processing algorithms that will correctly identify situations where a moving construction site is placed on the road, based on video data provided.
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+Alexander Freytag has been accepted to participate in the doctoral consortium on #CVPR16 , the largest international conference on computer vision and pattern recognition. 
During the consortium, participants have the unique opportunity to present their PhD work to renowed experts of our community, to receive feedback on ongoing projects and career plans, and to foster collaborations.
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