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I am a post-doctoral researcher at the Knowdive group at the University of Trento, an associate center of the European Institute of Innovation and Technology. Main research interests are computer vision and machine learning. In particular, local features, color-based recognition, semantic image understanding, and recently, compositional approaches for visual recognition.
Contact
Julian Stöttinger
Dept. of Information Engineering and Computer Science
University of Trento
via Sommarive 14
38123 Povo - Trento, Italy
Tel: +39 389 448 47 20
eMail: julian@disi.unitn.it ProjectsI am currently involved in the following EU projects:
CUbRIK - opens the blackbox of search
Glocal - event-based retrieval of networked media
Living Knowledge - diversity as an intrinsic and unavoidable property for knowledge
Latest NewsIndexing Media by Personal Events
Javier Paniagua, Ivan Tankoyeu, Julian Stöttinger, Fausto Giunchiglia, ICMR, 2012.
Dataset available on request. (Unseen) Event Recognition via Composition
Julian Stöttinger, Jasper Uijlings, Anand K. Pandey, Nicu Sebe, Fausto Giunchiglia, CVPR, accepted. Dataset available! Sparse Color Interest Points for Image Retrieval and Object Categorization
Julian Stöttinger, Allan Hanbury, Nicu Sebe, Theo Gevers, Transactions on Image Processing, accepted. [download linux64 binary] Color Based Skin Classification
Rehan Khan, Allan Hanbury, Julian Stöttinger, Abdul Bais, Pattern Recognition Letters, Volume 33, Issue 2, 2012, p 157 - 163.
doi:10.1016/j.patrec.2011.09.032
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