| 2013 | ||
|---|---|---|
| j5 | Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo: Task-Specific Image Partitioning. IEEE Transactions on Image Processing 22(2): 488-500 (2013) | |
| 2012 | ||
| c20 | Simon Fothergill, Helena M. Mentis, Pushmeet Kohli, Sebastian Nowozin: Instructing people for training gestural interactive systems. CHI 2012: 1737-1746 | |
| c19 | Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, Carsten Rother: Regression Tree Fields - An efficient, non-parametric approach to image labeling problems. CVPR 2012: 2376-2383 | |
| c18 | Andreas C. Müller, Sebastian Nowozin, Christoph H. Lampert: Information Theoretic Clustering Using Minimum Spanning Trees. DAGM/OAGM Symposium 2012: 205-215 | |
| c17 | Christoph Dann, Peter V. Gehler, Stefan Roth, Sebastian Nowozin: Pottics - The Potts Topic Model for Semantic Image Segmentation. DAGM/OAGM Symposium 2012: 397-407 | |
| c16 | Jeremy Jancsary, Sebastian Nowozin, Carsten Rother: Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art. ECCV (7) 2012: 112-125 | |
| c15 | ||
| i1 | Sebastian Nowozin: Improved Information Gain Estimates for Decision Tree Induction. CoRR abs/1206.4620 (2012) | |
| 2011 | ||
| j4 | Sebastian Nowozin, Christoph H. Lampert: Structured Learning and Prediction in Computer Vision. Foundations and Trends in Computer Graphics and Vision 6(3-4): 185-365 (2011) | |
| j3 | Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli: Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm. Journal of Machine Learning Research - Proceedings Track 15: 146-154 (2011) | |
| c14 | Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo: Variable grouping for energy minimization. CVPR 2011: 1913-1920 | |
| c13 | Patrick Pletscher, Sebastian Nowozin, Pushmeet Kohli, Carsten Rother: Putting MAP Back on the Map. DAGM-Symposium 2011: 111-121 | |
| c12 | Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli: Decision tree fields. ICCV 2011: 1668-1675 | |
| c11 | Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo: Higher-Order Correlation Clustering for Image Segmentation. NIPS 2011: 1530-1538 | |
| 2010 | ||
| j2 | Sebastian Nowozin, Christoph H. Lampert: Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness. SIAM J. Imaging Sciences 3(4): 1048-1074 (2010) | |
| c10 | Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert: On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. ECCV (6) 2010: 98-111 | |
| 2009 | ||
| b1 | Sebastian Nowozin: Learning with structured data: applications to computer vision. Berlin Institute of Technology 2009 | |
| j1 | Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda: gBoost: a mathematical programming approach to graph classification and regression. Machine Learning 75(1): 69-89 (2009) | |
| c9 | Sebastian Nowozin, Christoph H. Lampert: Global connectivity potentials for random field models. CVPR 2009: 818-825 | |
| c8 | Peter V. Gehler, Sebastian Nowozin: Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers. CVPR 2009: 2836-2843 | |
| c7 | Peter V. Gehler, Sebastian Nowozin: On feature combination for multiclass object classification. ICCV 2009: 221-228 | |
| c6 | Sebastian Nowozin, Stefanie Jegelka: Solution stability in linear programming relaxations: graph partitioning and unsupervised learning. ICML 2009: 97 | |
| 2008 | ||
| c5 | Sebastian Nowozin, Koji Tsuda: Frequent Subgraph Retrieval in Geometric Graph Databases. ICDM 2008: 953-958 | |
| c4 | Sebastian Nowozin, Gökhan H. Bakir: A decoupled approach to exemplar-based unsupervised learning. ICML 2008: 704-711 | |
| 2007 | ||
| c3 | Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir: Weighted Substructure Mining for Image Analysis. CVPR 2007 | |
| c2 | Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda: Discriminative Subsequence Mining for Action Classification. ICCV 2007: 1-8 | |
| c1 | Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir: Weighted Substructure Mining for Image Analysis. MLG 2007 | |
Colors in the list of coauthors
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