Prof. Dr. Christian Bauckhage

Christian Bauckhage ist Professor für Medieninformatik am Bonn-Aachen International Center for Information Technology (B-IT) und vertritt das Gebiet Multimedia Pattern Recognition am Fraunhofer IAIS. Sein Diplom in Informatik erwarb er 1998 nach Studium in Bielefeld und Grenoble; 2002 promovierte er in Bielefeld zum Dr.-Ing., wo er anschließend als technischer Koordinator eines erfolgreichen EU Forschungsprojektes im Bereich Cognitive Vision tätig war. Von 2004 bis 2008 forschte er am Center for Vision Research an der York University in Toronto, sowie bei den Deutsche Telekom Laboratories in Berlin. Er hat zahlreiche wissenschaftliche Beiträge in den Bereichen Computer Vision, Pattern Recognition, Advanced HCI und Behavior Analysis publiziert und ist regelmäßig als Gutachter für entsprechende Konferenzen und Journale sowie für das IST Programm der Europäischen Union tätig.

  • efficient, real-time image and video analysis 
  • user modeling and behavior recognition
  • online communities and social media
  • web science and web mining
  • game AI and game mining

Web Science / Web Mining

C. Bauckhage, F. Hadiji, and K. Kersting. How Viral Are Viral Videos?. Proc. AAAI Int. Conf. on Weblogs and Social Media, 2015

C. Bauckhage, K. Kersting, and B. Rastegarpanah. Collective Attention to Social Media Evolves According to Diffusion Models. Proc. ACM Int. World Wide Web Conf., 2014

C. Bauckhage and K. Manshaei. Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series. Proc. IAPR Int. Conf. on Pattern Recognition, IEEE, 2014

C. Bauckhage, K. Kersting, and F. Hadiji. Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes. Proc. AAAI Int. Conf. on Weblogs and Social Media, 2013

C. Bauckhage and K. Kersting. Can Computers Learn from the Aesthetic Wisdom of the Crowd? KI - Künstliche Intelligenz, 27(1), 2013

C. Bauckhage. Insights into Internet Memes. Proc. AAAI Int. Conf. on Weblogs and Social Media, 2011

R. Wetzker, C. Zimmermann, C. Bauckhage, and S. Albayrak. I Tag, You Tag: Translating Tags for Advanced User Models. Proc. ACM Int. Conf. on Web Search and Data Mining, 2010

J. Kunegis, A. Lommatzsch, and C. Bauckhage. The Slashdot Zoo: Mining a Social Network with Negative Edges. Proc. ACM Int. World Wide Web Conf., 2009

Big Data / Applied Data Mining

C. Bauckhage and K. Kersting. Data Mining and Pattern Recognition in Agriculture. KI - Künstliche Intelligenz, 27(4), 2013

C. Bauckhage, K. Kersting, and A. Schmit. Agriculture's Technological Makeover. IEEE Pervasive Computing, 11(2), 2012

C. Thurau, K. Kersting, M. Wahabzada, and C. Bauckhage. Descriptive Matrix Factorization for Sustainability: Adopting the Principle of Opposites. Data Mining and Knowledge Discovery, 24(2), 2012

C. Thurau, K. Kersting, M. Wahabzada, and C. Bauckhage. Convex Non-negative Matrix Factorization for Massive Datasets. Knowledge and Information Systems, 29(2), 2011

C. Thurau, K. Kersting, and C. Bauckhage. Yes We Can: Simplex Volume Maximization for Descriptive Web-scale Matrix Factorization. Proc. ACM Conf. on Information and Knowledge Management, 2010

C. Bauckhage and C. Thurau. Making Archetypal Analysis Practical, Proc. DAGM Symposium, 2009

Real-Time Computer Vision

S. Zhang, D.A. Klein, C. Bauckhage, and A.B. Cremers. Fast Moving Pedestrian Detection Based on Motion Segmentation and New Motion Features. Multimedia Tools and Applications, 2015

S. Zhang, C. Bauckhage, and A.B. Cremers. Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model. IEEE Trans. Intelligent Transportation Systems, 16(2), 2015

G. Evangelidis and C. Bauckhage. Efficient Subframe Video Alignment using Short Descriptors. IEEE Trans. Pattern Analysis and Machine Intelligence, 35(10), 2013

B. Krausz and C. Bauckhage. Loveparade 2010: Automatic video analysis of a crowd disaster. Computer Vision and Image Understanding, 116(3), 2012

C. Bauckhage, J.K. Tsotsos, and F.E. Bunn. Automatic Detection of Abnormal Gait. Image and Vision Computing, 27(1-2), 2009