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Christoph Lampert

For Postdocs

I have Postdoc openings in Computer Vision or/and Machine Learning.

For prospective PhD students

Please visit the IST Austria Graduate School page for details on our graduate program.


For Interns

I have no more openings for undergraduate students in 2015. If you are a graduate student (Msc or PhD) with excellent academic standing and prior experience in Computer Vision or Machine Learning, please contact me by email.

 

Note: I will silently ignore applications that come as standard letters without personalization.
Professor
IST Austria (Institute of Science and Technology Austria)
Coordinates Mail: Am Campus 1, IST Austria, A-3400 Klosterneuburg, Austria
Email: chl (at) ist.ac.at
Phone: +43 2243 9000 3101

Curriculum vitae
Publications By year.    BibTeX: lampert.bib   Google Citations: 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.
Research Interests Life-Long Learning for Visual Scene Understanding (ERC StG)
Learning Methods for Computer Vision
Object Recognition and Localization
Structured Prediction and Learning
Attribute-Enabled Representations
Research Group Tomas Kazmar (PhD student at IMP, co-supervised with Alex Stark)
Alexander Kolesnikov (PhD student)
Georg Martius (ISTFELLOW Postdoc)
Anastasia Pentina (PhD student)
Alexander Zimin (PhD student)
Alumni Emilie Morvant (Postdoc, 2013-2014) - now Assitant Professor at University of Saint-Etienne
Filip Korc (Postdoc, 2010-2012) - now at CMP, CTU Prague, Czech Republic
Novi Quadrianto (Visiting Student/Researcher, 2010-2011) - now at Sussex 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 at Center for Data Science at NYU, New York, USA
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) -- now back at ENS Rennes
Chris Wendler (Research Intern) -- now back to U Innsbruck
Viktoriia Sharmanska (PhD student, 2011-2015) -- graduated in February 2015
Csaba Domokos (Postdoc, 2014-2015) -- now at TU Munich

Recent Activities Edited Volume: Advanced Structured Prediction, MIT Press 2015
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.
Recent Services Area Chair for Conference on Neural Information Processing Systems (NIPS) 2015
Doctorial Consortium Chair for IEEE Computer Vision and Pattern Recognition (CVPR) 2015
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
Editor for International Journal for Computer Vision (IJCV)
Action Editor for Journal of Machine Learning Research (JMLR)
Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
Recent and Upcoming
Scientific Talks and Teaching

23 August - 5 September 2015: Summer Academy of the German National Academic Foundation, Greifswald, DE
17 - 21 August 2015: Teaching at Vision and Sports Summer School, Prague, CZ
29 July - 5 August 2015: Teaching at Microsoft Machine Learning and Intelligence Summer School, Saint Petersburg, RU
7 - 10 April 2015: Talk at Dagstuhl Workshop: "Machine Learning with Interdependent and Non-identically Distributed Data"
15 September 2014: Invited talk "Multi-label Structured Prediction", International Workshop on Multi-Target Prediction at ECML/PKDD 2014, Nancy, FR
12 September 2014: Invited talk "Learning with a Time-Evolving Data Distribution", TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision at ECCV 2014, Zurich, CH

for earlier presentations see CV
Recent Talks and Teaching
at IST Austria
Q3 2014/15: "Machine Learning and Applications" (advanced course, seminar format)
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)

Last updated in March 2015.