Machine Learning & Computer Vision
The Chair of Machine Learning and Computer Vision investigates methods for machine learning and vision, as well as perception in general. In addition to researching and developing methods specifically tailored to image, video, sensor, and multimedia data (data from various sources and types), the chair also explores data mining and analytics methods for production data, as sensor data from these production environments also represents a form of perception.
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News
New PhD Student
Thesis Defense of Julian Lorenz
Congratulations to Dr. Julian Lorenz on the successful defense?(summa cum laude) of his dissertation:
Expressive Scene Graph Generation for Rich Visual Understanding. Overcoming Limitations in Evaluation, Datasets, and Neural Network Architectures.
We thank him for his time together at the chair and wish him all the best for the future!
Open Positions for PhD students
The Faculty of Applied Computer Science, Chair of Machine Learning and Vision (Prof. Dr. Rainer Lienhart), invites applications for a?research assistant position?to be filled as soon as possible.?
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Contact
Address
Prof. Dr. Rainer Lienhart
Lehrstuhl für Maschinelles Lernen und Maschinelles Sehen
Institut für Informatik
Universit?t Augsburg
Universit?tsstr. 6a
D -?89159 Augsburg
Germany
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Phone
+49 (821) 598-5703
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rainer.lienhart @informatik.uni- augsburg.de
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