IST Austria (Institute of Science and Technology Austria)
Mail: Am Campus 1, IST Austria, A-3400 Klosterneuburg, Austria
Email: chl (at) ist.ac.at
Phone: +43 2243 9000 3101
Google Citations: page
Microsoft Academic: page
ORCID: 0000-0001-8622-7887 ResearcherID: J-2931-2014 ResearchGate: page
|Software and Data||Please follow these links for data and source code of my publications.|
Life-Long Learning for Visual Scene Understanding (ERC StG)
Learning Methods for Computer Vision
Object Recognition and Localization
Structured Prediction and Learning
Csaba Domokos (Postdoc)
Tomas Kazmar (PhD student at IMP, co-supervised with Alex Stark)
Alexander Kolesnikov (PhD student, pre-qual)
Emilie Morvant (Postdoc)
Anastasia Pentina (PhD student)
Neel Shah (PhD student, pre-affiliation)
Viktoriia Sharmanska (PhD student)
Chris Wendler (Research Intern)
Alexander Zimin (PhD student, pre-qual)
Filip Korc (Postdoc, 2010-2012) - now at CMP, CTU Prague, Czech Republic|
Novi Quadrianto (Visiting Student/Researcher, 2010-2011) - now at Cambridge University, England
Lena Tretyak (Research Intern, 2010) - Now at MPI for Intelligent Systems, Tübingen, Germany
Tatiana Tommasi (Research Intern, 2011) - now Postdoc at KU Leuven
Neel Shah (Research Intern, 2011), Graduate Student at IST Austria since 2013
Andreas Müller (Research Intern, 2012) -- now back at University of Bonn, Germany
Andreas Eilschou (Master Student, 2012)
Andreas Hjortgaard Danielsen (Master Student, 2012) -- now at Karnov Group
Nikunj Saunchi (Research Intern, 2012) -- now back at IIT Bombay, India
Avradeep Bhowmik (Research Intern, 2012) -- now back at IIT Bombay, India
Sameh Khamis (Research Intern, 2013) -- now back at University of Maryland
Jacquelyn Shelton (Research Intern, 2012) -- now back at FIAS Frankfurt
Alexander Kolesnikov (Research Intern) -- Graduate Student at IST Austria since 2013
Mayu Sakurada (Research Intern, 2013)
Vladyslav Sydorov (Research Intern, 2013)
Amelie Royer (Research Intern, 2014)
Workshop: "Third IEEE Workshop on Parts and Attributes" at ECCV 2014, with R. Feris and D. Parikh.
Workshop: "Second IEEE Workshop on Parts and Attributes" at ECCV 2012, with R. Feris.
Tutorial "Structured Prediction and Learning" with S. Nowozin at CVPR 2012, Providence, RI, USA.
Workshop: "First IEEE Workshop on Kernels and Distances for Computer Vision" at ICCV 2011, with P. Gehler and B. Kulis.
Symposium: "Second IST Symposium on Computer Vision and Machine Learning, at IST Austria, 2011.
Tutorial: "Structured Prediction and Learning" with S. Nowozin at CVPR 2011, Colorado Springs, CO, USA.
Workshop: "First International Workshop on Parts and Attributes" at ECCV 2010, with T. Caetano, R. Feris and D. Forsyth.
Workshop: "Structured Models in Computer Vision" at CVPR 2010, with P. Gehler and V. Ferrari.
Tutorial Chair for European Conference on Computer Vision (ECCV) 2014
Area Chair for European Conference on Computer Vision (ECCV) 2014
Area Chair for IEEE Computer Vision and Pattern Recognition (CVPR) 2014
Area Chair for International Conference on Computer Vision (ICCV) 2013
Action Editor for Journal of Machine Learning Research (JMLR)
Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
|Recent Scientific Talks and Teaching||
15 September 2014: "Multi-label Structured Prediction", International Workshop on Multi-Target Prediction at ECML/PKDD 2014, Nancy, FR
12 September 2014: "Learning with a Time-Evolving Data Distribution", TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision at ECCV 2014, Zurich, CH
23 August 2014: "Towards lifelong visual learning", Saturday Workshop of the Vision and Sports Summerschool, Prague.
21 August 2014: "Learning with Structured Inputs and Outputs", Vision and Sports Summerschool, Prague.
26 June 2014: "Learning with a Time-Evolving Data Distribution", Workshop on Long-Term Detection and Tracking at CVPR 2014, Columbus, OH
16 June 2014: " Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation" Area Chair Workshop of ECCV 2014, Zurich, CH
February 2014: "Learning with Asymmetric Data Distribution, USA (MIT, MSKCC, NYU, UMD)
for earlier presentations see CV
|Talks and Teaching at IST Austria||
Q4 2013/14: "Statistical Machine Learning" (advanced course)
Q3 2013/14: "Image Processing and Analysis" (core course, with Chris Wojtan)
Q1 2013/14: "Linear Algebra" (core course, with Uli Wagner)
coming up: Q3 2013/14: "Image Processing and Analysis" (core course)
coming up: Q4 2013/14: "Statistical Machine Learning" (advanced course)
Q1 2012/13: "Linear Algebra (from a data analysis point of view)" (core course)
Feb 2013: "Statistical Machine Learning" (block course, advanced )
Last updated in July 2014.