IST Austria

Computer Vision and
Machine Learning Group

Christoph Lampert Christoph H. Lampert
Professor
IST Austria (Institute of Science and Technology Austria)
Coordinates Postal Address: Am Campus 1, IST Austria, 3400 Klosterneuburg, Austria
Email: chl (at) ist (dot) ac (dot) at
Phone: +43 2243 9000 3101 (but sending me email usually works better)

Biographical sketch
Curriculum vitae
Recent and Upcoming Activities (see CV for a more complete list)
Workshops and Edited Volumes Edited Volume: Advanced Structured Prediction, MIT Press 2015
Workshop: Transfer and Multi-Task Learning: Trends and New Perspectives at NIPS 2015
Chair Positions and Memberships Area Chair for Conference on Neural Information Processing Systems (NIPS) 2016
Area Chair for European Conference on Computer Vision (ECCV) 2016
Area Chair for Conference on Neural Information Processing Systems (NIPS) 2015
Doctorial Consortium Chair for IEEE Computer Vision and Pattern Recognition (CVPR) 2015

Editor for International Journal for Computer Vision (IJCV)
Action Editor for Journal of Machine Learning Research (JMLR)
Associate Editor in Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Member of the Young Academy of the Austrian Academy of Science
Scientific Talks and Posters 27 September 2016: "Multi-task and lifelong learning with unlabeled tasks"
26 September 2016: "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation"
9 September 2016: "How to become a Scientist..."
and "Computer Vision and Machine Learning at IST Austria" Moscow State University (MSU), Moscow, RU
8 September 2016: "Classifier Adaptation at Prediction Time", Yandex, Moscow, RU
8 September 2016: "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation" Skoltech, Moscow, RU
7 September 2016: "How to become a Scientist..." and "Computer Vision and Machine Learning at IST Austria" Moscow Institute of Physics and Technology (MIPT), Moscow, RU
6 September 2016: "Multi-task learning with unlabeled tasks" Higher School of Economics, Moscow, RU
27 August 2016: "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation" VS3 Workshop, Prague, CZ
09 June 2016: Keynote Talk "Towards Lifelong Machine Learning" at CHIST-ERA Conference
18 May 2016: Invited Talk "Lifelong Learning for Visual Scene Understanding" at Area Chair Workshop of the German Association for Pattern Recognition
10 December 2015: Poster "Lifelong Learning with Non-i.i.d. Tasks" at Conference on Neural Information Processing Systems (NIPS)
14/15 September 2015: Keynote Talk "Classifier Adaptation at Prediction Time" at Netherlands Conference on Computer Vision (NCCV)
22 August 2015: Talk "Classifier Adaptation at Prediction Time" at VSSS 2015 Workshop
12 July 2015: Keynote Talk at Symposium on Intelligent Systems in Science and Industry: "Towards Lifelong Machine Learning"
External Teaching 5-9 September 2016: Higher School of Economics, Moscow, RU "Probabilistic Graphical Models" Slides: 23 August 2016: Vision and Sport Summer School, Prague, CZ. "Machine Learning for Computer Vision" (talk slides PDF exercise data: ZIP)
23 August - 5 September 2015: Summer Academy of the German National Academic Foundation, Greifswald, DE
17 - 21 August 2015: Vision and Sports Summer School, Prague, CZ. "Learning with Structured Inputs and Outputs".
29 July - 5 August 2015: Microsoft Machine Learning and Intelligence Summer School, Saint Petersburg, RU. "Learning with Structured Inputs and Outputs". Talk slides: part 1, part 2
Teaching at IST Austria Q3/Q4 2015/16: "Data Science and Scientific Computing" (track core course)
Q2 2015/16: "Probabilistic Graphical Models" (advanced course)
Q1 2016/17: "Computer Vision and Machine Learning" (Introduction to Research at IST Austria)
Q3 2015/16: "Data Science and Scientific Computing" (track core course)
Q3 2015/16: "Statistical Machine Learning" (advanced course)
Q1/Q2 2015/16: Project Course: "Computer Vision and Machine Learning" (advanced course, project format)
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)