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88 Publications

2020 | Conference Paper | IST-REx-ID: 7481 | OA
Bui Thi Mai P, Lampert C. Functional vs. parametric equivalence of ReLU networks.
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2020 | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. ArXiv.
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2020 | Conference Paper | IST-REx-ID: 8186 | OA
Henderson PM, Tsiminaki V, Lampert C. Leveraging 2D data to learn textured 3D mesh generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVF; 2020:7498-7507.
View | Files available | Download Submitted Version (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer A, Lampert C. Localizing grouped instances for efficient detection in low-resource scenarios. In: IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020:1716-1725. doi:10.1109/WACV45572.2020.9093288
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2020 | Book Chapter | IST-REx-ID: 8092 | OA
Royer A, Bousmalis K, Gouws S, et al. XGAN: Unsupervised image-to-image translation for many-to-many mappings. In: Singh R, Vatsa M, Patel VM, Ratha N, eds. Domain Adaptation for Visual Understanding. Springer Nature; 2020:33-49. doi:10.1007/978-3-030-30671-7_3
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2020 | Thesis | IST-REx-ID: 8390 | OA
Royer A. Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models. IST Austria; 2020. doi:10.15479/AT:ISTA:8390
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2020 | Conference Paper | IST-REx-ID: 7937 | OA
Royer A, Lampert C. A flexible selection scheme for minimum-effort transfer learning. In: 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020. doi:10.1109/WACV45572.2020.9093635
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2020 | Preprint | IST-REx-ID: 8188 | OA
Henderson PM, Lampert C. Unsupervised object-centric video generation and decomposition in 3D. arXiv.
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2019 | Conference Paper | IST-REx-ID: 7479 | OA
Bui Thi Mai P, Lampert C. Distillation-based training for multi-exit architectures. In: IEEE International Conference on Computer Vision. Vol 2019-October. IEEE; 2019:1355-1364. doi:10.1109/ICCV.2019.00144
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2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. Detecting visual relationships using box attention. In: Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE; 2019:1749-1753. doi:10.1109/ICCVW.2019.00217
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2019 | Conference Paper | IST-REx-ID: 6482 | OA
Sun R, Lampert C. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. In: Vol 11269. Springer Nature; 2019:244-259. doi:10.1007/978-3-030-12939-2_18
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2019 | Journal Article | IST-REx-ID: 6554 | OA
Xian Y, Lampert C, Schiele B, Akata Z. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019;41(9):2251-2265. doi:10.1109/tpami.2018.2857768
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2019 | Conference Paper | IST-REx-ID: 6569 | OA
Bui Thi Mai P, Lampert C. Towards understanding knowledge distillation. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. PMLR; 2019:5142-5151.
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2019 | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. PMLR; 2019:3488-3498.
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2019 | Conference Paper | IST-REx-ID: 6942 | OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. Strategy representation by decision trees with linear classifiers. In: 16th International Conference on Quantitative Evaluation of Systems. Vol 11785. Springer Nature; 2019:109-128. doi:10.1007/978-3-030-30281-8_7
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2019 | Journal Article | IST-REx-ID: 6944 | OA
Sun R, Lampert C. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. 2019. doi:10.1007/s11263-019-01232-x
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2019 | Journal Article | IST-REx-ID: 6952 | OA
Henderson PM, Ferrari V. Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. 2019. doi:10.1007/s11263-019-01219-8
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2019 | Book (Editor) | IST-REx-ID: 7171
Kersting K, Lampert C, Rothkopf C, eds. Wie Maschinen Lernen. Springer Nature; 2019. doi:10.1007/978-3-658-26763-6
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2018 | Research Data | IST-REx-ID: 5584 | OA
Deny S, Marre O, Botella-Soler V, Martius GS, Tkačik G. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. IST Austria; 2018. doi:10.15479/AT:ISTA:98
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2018 | Journal Article | IST-REx-ID: 563 | OA
Ringbauer H, Kolesnikov A, Field D, Barton NH. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 2018;208(3):1231-1245. doi:10.1534/genetics.117.300638
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2018 | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij I, Lampert C. Data-dependent stability of stochastic gradient descent. In: Proceedings of the 35 Th International Conference on Machine Learning. Vol 80. International Machine Learning Society; 2018:2815-2824.
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2018 | Conference Paper | IST-REx-ID: 6012 | OA
Sahoo S, Lampert C, Martius GS. Learning equations for extrapolation and control. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. International Machine Learning Society; 2018:4442-4450.
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2018 | Conference Paper | IST-REx-ID: 6589 | OA
Alistarh D-A, Hoefler T, Johansson M, Konstantinov NH, Khirirat S, Renggli C. The convergence of sparsified gradient methods. In: Advances in Neural Information Processing Systems 31. Vol Volume 2018. Neural information processing systems; 2018:5973-5983.
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2018 | Thesis | IST-REx-ID: 68 | OA
Zimin A. Learning from Dependent Data. IST Austria; 2018. doi:10.15479/AT:ISTA:TH1048
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2018 | Thesis | IST-REx-ID: 197 | OA
Kolesnikov A. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria; 2018. doi:10.15479/AT:ISTA:th_1021
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2018 | Journal Article | IST-REx-ID: 321 | OA
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018;40(5):1029-1031. doi:10.1109/TPAMI.2018.2804998
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2017 | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. Optimal geospatial volunteer allocation needs realistic distances. In: 2017 IEEE International Conference on Big Data. IEEE; 2017:3760-3763. doi:10.1109/BigData.2017.8258375
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2017 | Conference Paper | IST-REx-ID: 652
Der R, Martius GS. Dynamical self consistency leads to behavioral development and emergent social interactions in robots. In: IEEE; 2017. doi:10.1109/DEVLRN.2016.7846789
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2017 | Journal Article | IST-REx-ID: 658 | OA
Der R, Martius GS. Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. 2017;11(MAR). doi:10.3389/fnbot.2017.00008
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2017 | Conference Paper | IST-REx-ID: 6841 | OA
Martius GS, Lampert C. Extrapolation and learning equations. In: 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. International Conference on Learning Representations; 2017.
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2017 | Conference Paper | IST-REx-ID: 998 | OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. iCaRL: Incremental classifier and representation learning. In: Vol 2017. IEEE; 2017:5533-5542. doi:10.1109/CVPR.2017.587
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2017 | Conference Paper | IST-REx-ID: 999 | OA
Pentina A, Lampert C. Multi-task learning with labeled and unlabeled tasks. In: Vol 70. Omnipress; 2017:2807-2816.
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2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov A, Lampert C. PixelCNN models with auxiliary variables for natural image modeling. In: Vol 70. Omnipress; 2017:1905-1914.
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2017 | Conference Paper | IST-REx-ID: 1108 | OA
Zimin A, Lampert C. Learning theory for conditional risk minimization. In: Vol 54. JMLR, Inc. and Microtome Publishing; 2017:213-222.
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2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. In: BMVA Press; 2017:85.1-85.12. doi:10.5244/c.31.85
View | Files available | DOI | arXiv
 
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. Optimal geospatial allocation of volunteers for crisis management. In: IEEE; 2016. doi:10.1109/ICT-DM.2015.7402041
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2016 | Conference Paper | IST-REx-ID: 8094 | OA
Martius GS, Hostettler R, Knoll A, Der R. Self-organized control of an tendon driven arm by differential extrinsic plasticity. In: Proceedings of the Artificial Life Conference 2016. Vol 28. MIT Press; 2016:142-143. doi:10.7551/978-0-262-33936-0-ch029
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2016 | Conference Paper | IST-REx-ID: 1214
Martius GS, Hostettler R, Knoll A, Der R. Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. In: Vol 2016-November. IEEE; 2016. doi:10.1109/IROS.2016.7759138
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2016 | Conference Paper | IST-REx-ID: 1369 | OA
Kolesnikov A, Lampert C. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. In: Vol 9908. Springer; 2016:695-711. doi:10.1007/978-3-319-46493-0_42
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2016 | Conference Paper | IST-REx-ID: 1098 | OA
Pentina A, Urner R. Lifelong learning with weighted majority votes. In: Vol 29. Neural Information Processing Systems; 2016:3619-3627.
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2016 | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov A, Lampert C. Improving weakly-supervised object localization by micro-annotation. In: Proceedings of the British Machine Vision Conference 2016. Vol 2016-September. BMVA Press; 2016:92.1-92.12. doi:10.5244/C.30.92
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2016 | Thesis | IST-REx-ID: 1126 | OA
Pentina A. Theoretical Foundations of Multi-Task Lifelong Learning. IST Austria; 2016. doi:10.15479/AT:ISTA:TH_776
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2015 | Journal Article | IST-REx-ID: 1570 | OA
Der R, Martius GS. Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. 2015;112(45):E6224-E6232. doi:10.1073/pnas.1508400112
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2015 | Journal Article | IST-REx-ID: 1655 | OA
Martius GS, Olbrich E. Quantifying emergent behavior of autonomous robots. Entropy. 2015;17(10):7266-7297. doi:10.3390/e17107266
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2015 | Conference Paper | IST-REx-ID: 1706 | OA
Pentina A, Ben David S. Multi-task and lifelong learning of kernels. In: Vol 9355. Springer; 2015:194-208. doi:10.1007/978-3-319-24486-0_13
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2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina A, Sharmanska V, Lampert C. Curriculum learning of multiple tasks. In: IEEE; 2015:5492-5500. doi:10.1109/CVPR.2015.7299188
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2015 | Conference Paper | IST-REx-ID: 1858 | OA
Lampert C. Predicting the future behavior of a time-varying probability distribution. In: IEEE; 2015:942-950. doi:10.1109/CVPR.2015.7298696
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2015 | Conference Paper | IST-REx-ID: 1859 | OA
Shah N, Kolmogorov V, Lampert C. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. In: IEEE; 2015:2737-2745. doi:10.1109/CVPR.2015.7298890
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2015 | Conference Paper | IST-REx-ID: 1860 | OA
Royer A, Lampert C. Classifier adaptation at prediction time. In: IEEE; 2015:1401-1409. doi:10.1109/CVPR.2015.7298746
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2015 | Thesis | IST-REx-ID: 1401
Sharmanska V. Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views. IST Austria; 2015.
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2015 | Conference Paper | IST-REx-ID: 1425 | OA
Pentina A, Lampert C. Lifelong learning with non-i.i.d. tasks. In: Vol 2015. Neural Information Processing Systems; 2015:1540-1548.
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2015 | Journal Article | IST-REx-ID: 1533
Xia W, Domokos C, Xiong J, Cheong L, Yan S. Segmentation over detection via optimal sparse reconstructions. IEEE Transactions on Circuits and Systems for Video Technology. 2015;25(8):1295-1308. doi:10.1109/TCSVT.2014.2379972
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2014 | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. Mind the nuisance: Gaussian process classification using privileged noise. In: Advances in Neural Information Processing Systems. Vol 1. Neural Information Processing Systems; 2014:837-845.
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2014 | Conference Paper | IST-REx-ID: 2057 | OA
Morvant E, Habrard A, Ayache S. Majority vote of diverse classifiers for late fusion. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8621. Springer; 2014:153-162. doi:10.1007/978-3-662-44415-3_16
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2014 | Conference Paper | IST-REx-ID: 2160 | OA
Pentina A, Lampert C. A PAC-Bayesian bound for Lifelong Learning. In: Xing E, Jebara T, eds. Vol 32. Omnipress; 2014:991-999.
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2014 | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. Closed-form approximate CRF training for scalable image segmentation. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8691. Springer; 2014:550-565. doi:10.1007/978-3-319-10578-9_36
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2014 | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE; 2014:1402-1409. doi:10.1109/CVPR.2014.182
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2014 | Conference Paper | IST-REx-ID: 2173 | OA
Khamis S, Lampert C. CoConut: Co-classification with output space regularization. In: Proceedings of the British Machine Vision Conference 2014. BMVA Press; 2014.
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2014 | Journal Article | IST-REx-ID: 2180 | OA
Bellet A, Habrard A, Morvant E, Sebban M. Learning a priori constrained weighted majority votes. Machine Learning. 2014;97(1-2):129-154. doi:10.1007/s10994-014-5462-z
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2014 | Conference Paper | IST-REx-ID: 2189 | OA
Morvant E. Adaptation de domaine de vote de majorité par auto-étiquetage non itératif. In: Vol 1. Elsevier; 2014:49-58.
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2014 | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. Movement templates for learning of hitting and batting. In: Kober J, Peters J, eds. Learning Motor Skills. Vol 97. From Algorithms to Robot Experiments. Springer; 2014:69-82. doi:10.1007/978-3-319-03194-1_3
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2013 | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska V, Quadrianto N, Lampert C. Learning to rank using privileged information. In: IEEE; 2013:825-832. doi:10.1109/ICCV.2013.107
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2013 | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar T, Kvon E, Stark A, Lampert C. Drosophila Embryo Stage Annotation using Label Propagation. In: IEEE; 2013. doi:10.1109/ICCV.2013.139
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2013 | Journal Article | IST-REx-ID: 2516
Lampert C, Nickisch H, Harmeling S. Attribute-based classification for zero-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013;36(3):453-465. doi:10.1109/TPAMI.2013.140
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2013 | Conference Paper | IST-REx-ID: 2520 | OA
Quadrianto N, Sharmanska V, Knowles D, Ghahramani Z. The supervised IBP: Neighbourhood preserving infinite latent feature models. In: Proceedings of the 29th Conference Uncertainty in Artificial Intelligence. AUAI Press; 2013:527-536.
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2013 | Conference Paper | IST-REx-ID: 2901 | OA
Chen C, Kolmogorov V, Yan Z, Metaxas D, Lampert C. Computing the M most probable modes of a graphical model. In: Vol 31. JMLR; 2013:161-169.
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2013 | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi T, Quadrianto N, Caputo B, Lampert C. Beyond dataset bias: Multi-task unaligned shared knowledge transfer. 2013;7724:1-15. doi:10.1007/978-3-642-37331-2_1
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2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto N, Lampert C. Kernel based learning. In: Dubitzky W, Wolkenhauer O, Cho K, Yokota H, eds. Encyclopedia of Systems Biology. Vol 3. Springer; 2013:1069-1069. doi:10.1007/978-1-4419-9863-7_604
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2012 | Technical Report | IST-REx-ID: 5396 | OA
Korc F, Kolmogorov V, Lampert C. Approximating Marginals Using Discrete Energy Minimization. IST Austria; 2012. doi:10.15479/AT:IST-2012-0003
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2012 | Conference Paper | IST-REx-ID: 2825
Lampert C. Dynamic pruning of factor graphs for maximum marginal prediction. In: Vol 1. Neural Information Processing Systems; 2012:82-90.
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2012 | Conference Paper | IST-REx-ID: 2915
Kroemer O, Lampert C, Peters J. Multi-modal learning for dynamic tactile sensing. In: Deutsches Zentrum für Luft und Raumfahrt; 2012.
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2012 | Conference Paper | IST-REx-ID: 3124 | OA
Korc F, Kolmogorov V, Lampert C. Approximating marginals using discrete energy minimization. In: ICML; 2012.
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2012 | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska V, Quadrianto N, Lampert C. Augmented attribute representations. In: Vol 7576. Springer; 2012:242-255. doi:10.1007/978-3-642-33715-4_18
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2012 | Conference Paper | IST-REx-ID: 3126
Müller A, Nowozin S, Lampert C. Information theoretic clustering using minimal spanning trees. In: Vol 7476. Springer; 2012:205-215. doi:10.1007/978-3-642-32717-9_21
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2012 | Conference Paper | IST-REx-ID: 3127 | OA
Quadrianto N, Lampert C, Chen C. The most persistent soft-clique in a set of sampled graphs. In: Proceedings of the 29th International Conference on Machine Learning. Omnipress; 2012:211-218.
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2012 | Journal Article | IST-REx-ID: 3164
Blaschko M, Lampert C. Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. 2012;99(3):257-258. doi:10.1007/s11263-012-0530-y
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2012 | Journal Article | IST-REx-ID: 3248 | OA
Lampert C, Peters J. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 2012;7(1):31-41. doi:10.1007/s11554-010-0168-3
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2011 | Technical Report | IST-REx-ID: 5386 | OA
Chen C, Freedman D, Lampert C. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria; 2011. doi:10.15479/AT:IST-2011-0002
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2011 | Conference Paper | IST-REx-ID: 3163
Lampert C. Maximum margin multi-label structured prediction. In: Neural Information Processing Systems; 2011.
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2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto N, Lampert C. Learning multi-view neighborhood preserving projections. In: Omnipress; 2011:425-432.
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2011 | Journal Article | IST-REx-ID: 3320 | OA
Nowozin S, Lampert C. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 2011;6(3-4):185-365. doi:10.1561/0600000033
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2011 | Conference Poster | IST-REx-ID: 3322
Lampert C. Maximum Margin Multi Label Structured Prediction. Neural Information Processing Systems; 2011.
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2011 | Conference Paper | IST-REx-ID: 3336
Chen C, Freedman D, Lampert C. Enforcing topological constraints in random field image segmentation. In: CVPR: Computer Vision and Pattern Recognition. IEEE; 2011:2089-2096. doi:10.1109/CVPR.2011.5995503
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2011 | Conference Paper | IST-REx-ID: 3337
Wang Z, Lampert C, Mülling K, Schölkopf B, Peters J. Learning anticipation policies for robot table tennis. In: IEEE; 2011:332-337. doi:10.1109/IROS.2011.6094892
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2011 | Journal Article | IST-REx-ID: 3382
Kroemer O, Lampert C, Peters J. Learning dynamic tactile sensing with robust vision based training. IEEE Transactions on Robotics. 2011;27(3):545-557. doi:10.1109/TRO.2011.2121130
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2011 | Journal Article | IST-REx-ID: 3389
Blaschko M, Shelton J, Bartels A, Lampert C, Gretton A. Semi supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters. 2011;32(11):1572-1583. doi:10.1016/j.patrec.2011.02.011
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2010 | Conference Paper | IST-REx-ID: 3793 | OA
Nowozin S, Gehler P, Lampert C. On parameter learning in CRF-based approaches to object class image segmentation. In: Vol 6316. Springer; 2010:98-111. doi:10.1007/978-3-642-15567-3_8
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2010 | Conference Paper | IST-REx-ID: 3794
Lampert C, Krömer O. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. In: Vol 6312. Springer; 2010:566-579. doi:10.1007/978-3-642-15552-9_41
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