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For more than a decade, the Computer Vision Group Jena has been developing methods and algorithms, which allow for automatic analysis of different kinds of sensor data including camera images, LiDAR scans and environmental time-series data. Over the years, the group formed a particular interest in image understanding tasks like semantic segmentation and fine-grained classification, as well as in learning concepts like the life-long learning scenario. Additionally, there always are close co-operations with research institutes in Jena and partners from German industry. As a result, research is currently divided into four major topics, each constituting an own research team. There is a computer vision and machine learning team with an emphasis on biodiversity topics. Another team focuses on learning from 3D and unstructured data. Additionally, there is a team developing solutions for knowledge integration into machine learning. The fourth team is centered around the topic of causal reasoning with applications in environmental science.

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