Publications

2015

K. Schelten, S. Nowozin, J. Jancsary, C. Rother, and S. Roth: Interleaved Regression Tree Field Cascades for Blind Image Deconvolution, IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, January 2015.

2014

D. Khashabi, S. Nowozin, J. Jancsary, and A. W. Fitzgibbon: Joint Demosaicing and Denoising via Learned Nonparametric Random Fields, IEEE Transactions on Image Processing, vol. 23(12), pp. 4968-4981, 2014.

S. Nowozin, P. V. Gehler, J. Jancsary, and C. H. Lampert (editors): Advanced Structured Prediction. MIT Press, Cambridge, MA, November 2014.

2013

J. Jancsary, S. Nowozin, and C. Rother: Learning Convex QP Relaxations for Structured Prediction. In 30th International Conference on Machine Learning (ICML), Atlanta, GA, 2013.

U. Schmidt, C. Rother, S. Nowozin, J. Jancsary, and S. Roth: Discriminative Non-blind Deblurring. In 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, 2013. (Best Student Paper Award)

2012

J. Jancsary, S. Nowozin, and C. Rother: Non-parametric CRFs for Image Labeling. In NIPS 2012 Workshop on Modern Nonparametric Methods in Machine Learning, Lake Tahoe, NV, 2012.

J. Jancsary (ed): Proceedings of KONVENS 2012: The 11th Conference on Natural Language Processing, Vienna, Austria, September 2012.

J. Jancsary, S. Nowozin, and C. Rother: Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art. In 12th European Conference on Computer Vision (ECCV), Florence, Italy, 2012.

J. Jancsary, S. Nowozin, T. Sharp, and C. Rother: Regression Tree Fields – An Efficient, Non-parametric Approach to Image Labeling Problems. In 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA, 2012.

J. Jancsary: Approximate Discriminative Training of Graphical Models. PhD thesis, Institute of Telecommunications, Vienna University of Technology, Vienna, Austria, 2012.

2011

J. Jancsary and G. Matz: Convergent Decomposition Solvers for Tree-reweighted Free Energies. In 14th International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale, FL, USA, 2011.

J. Jancsary, F. Neubarth, S. Schreitter and H. Trost: Towards a Context-Sensitive Online Newspaper. In IUI 2011 Workshop on Context-awareness in Retrieval and Recommendation, Palo Alto, CA, USA, 2011.

J. Jancsary, F. Neubarth, and H. Trost (eds.): Proceedings of the First Workshop on Algorithms and Resources for Modelling of Dialects and Language Varieties (held in conjunction with EMNLP 2011), Association for Computational Linguistics, New Brunswick, NJ, 2011.

S. Petrik, C. Drexel, L. Fessler, J. Jancsary, A. Klein, G. Kubin, J. Matiasek, F. Pernkopf, and H. Trost: Semantic and phonetic automatic reconstruction of medical dictationsComputer Speech and Language, vol. 25(2), pp. 363-385, 2011.

2010

J. Jancsary, G. Matz, and H. Trost: An Incremental Subgradient Algorithm for MAP Estimation in Graphical Models. In NIPS 2010 Workshop on Optimization for Machine Learning, Whistler, Canada, 2010.

J. Jancsary, F. Neubarth, and H. Trost: Towards context-aware personalization and a broad perspective on the semantics of news articles. In 4th ACM Conference on Recommender Systems (RECSYS), Barcelona, Spain, 2010.

2009

J. Matiasek, J. Jancsary, A. Klein, and H. Trost: Identifying Segment Topics in Medical Dictations. In EACL 2009 Workshop on Semantic Representation of Spoken Language, Athens, Greece, 2009.

H. Trost, J. Jancsary, A. Klein, and J. Matiasek: Moving Automated Dictation from Speech Recognition to Structured Text Reproduction, OeGAI Journal, vol. 28(1), pp. 2-13, 2009.

2008

J. Jancsary, J. Matiasek, and H. Trost: Revealing the Structure of Medical Dictations with Conditional Random Fields. In 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP), Honolulu, HI, USA, 2008.

J. Jancsary: Recognizing Structure in Report Transcripts. MSc thesis, Faculty of Informatics, Vienna University of Technology, Vienna, Austria, 2008.

2007

J. Jancsary, A. Klein, J. Matiasek, and H. Trost: Semantics-based Automatic Literal Reconstruction Of Dictations. In CAEPIA 2007 Workshop on Semantic Representation of Spoken Language, Salamanca, Spain, 2007.

2006

M. Huber, J. Jancsary, A. Klein, J. Matiasek, and H. Trost: Mismatch Interpretation by Semantics-driven Alignment. In 8th Conference on Natural Language Processing (KONVENS), Konstanz, Germany, 2006.