108 Publications

Mark all

[108]
2020 | Conference Paper | IST-REx-ID: 7481 | OA
Functional vs. parametric equivalence of ReLU networks
P. Bui Thi Mai, C. Lampert, in:, n.d.
View | Files available
 
[107]
2020 | Conference Paper | IST-REx-ID: 8186 | OA
Leveraging 2D data to learn textured 3D mesh generation
P.M. Henderson, V. Tsiminaki, C. Lampert, in:, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVF, 2020, pp. 7498–7507.
View | Files available | Download Submitted Version (ext.) | arXiv
 
[106]
2020 | Preprint | IST-REx-ID: 8188 | OA View | Download Preprint (ext.) | arXiv
 
[105]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Localizing grouped instances for efficient detection in low-resource scenarios
A. Royer, C. Lampert, in:, IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020, pp. 1716–1725.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[104]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
A flexible selection scheme for minimum-effort transfer learning
A. Royer, C. Lampert, in:, 2020 IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[103]
2020 | Preprint | IST-REx-ID: 8724
On the sample complexity of adversarial multi-source PAC learning
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, ArXiv (n.d.).
View | arXiv
 
[102]
2020 | Preprint | IST-REx-ID: 8063 | OA
Object-centric image generation with factored depths, locations, and appearances
T. Anciukevicius, C. Lampert, P.M. Henderson, ArXiv (n.d.).
View | Download Preprint (ext.) | arXiv
 
[101]
2019 | Conference Paper | IST-REx-ID: 7479 | OA
Distillation-based training for multi-exit architectures
P. Bui Thi Mai, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
View | Files available | DOI
 
[100]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Detecting visual relationships using box attention
A. Kolesnikov, A. Kuznetsova, C. Lampert, V. Ferrari, in:, Proceedings of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019, pp. 1749–1753.
View | DOI | Download Preprint (ext.) | arXiv
 
[99]
2019 | Journal Article | IST-REx-ID: 6554 | OA
Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly
Y. Xian, C. Lampert, B. Schiele, Z. Akata, IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (2019) 2251–2265.
View | DOI | Download Preprint (ext.) | arXiv
 
[98]
2019 | Conference Paper | IST-REx-ID: 6569 | OA
Towards understanding knowledge distillation
P. Bui Thi Mai, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 5142–5151.
View | Files available
 
[97]
2019 | Conference Paper | IST-REx-ID: 6590 | OA
Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 3488–3498.
View | Download Preprint (ext.) | arXiv
 
[96]
2019 | Conference Paper | IST-REx-ID: 6942 | OA
Strategy representation by decision trees with linear classifiers
P. Ashok, T. Brázdil, K. Chatterjee, J. Křetínský, C. Lampert, V. Toman, in:, 16th International Conference on Quantitative Evaluation of Systems, Springer Nature, 2019, pp. 109–128.
View | DOI | Download Preprint (ext.) | arXiv
 
[95]
2019 | Book (Editor) | IST-REx-ID: 7171
Wie Maschinen lernen
K. Kersting, C. Lampert, C. Rothkopf, eds., Wie Maschinen Lernen, Springer Nature, 2019.
View | Files available | DOI
 
[94]
2019 | Journal Article | IST-REx-ID: 6944 | OA
KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications
R. Sun, C. Lampert, International Journal of Computer Vision 128 (2019) 970–995.
View | Files available | DOI
 
[93]
2019 | Conference Paper | IST-REx-ID: 6482 | OA
KS(conf): A light-weight test if a ConvNet operates outside of Its specifications
R. Sun, C. Lampert, in:, Springer Nature, 2019, pp. 244–259.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[92]
2018 | Conference Paper | IST-REx-ID: 6011 | OA
Data-dependent stability of stochastic gradient descent
I. Kuzborskij, C. Lampert, in:, Proceedings of the 35 Th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 2815–2824.
View | Download Preprint (ext.) | arXiv
 
[91]
2018 | Conference Paper | IST-REx-ID: 6012 | OA
Learning equations for extrapolation and control
S. Sahoo, C. Lampert, G.S. Martius, in:, Proceedings of the 35th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 4442–4450.
View | Files available | Download Preprint (ext.) | arXiv
 
[90]
2018 | Journal Article | IST-REx-ID: 321 | OA
Guest editors' introduction to the special section on learning with Shared information for computer vision and multimedia analysis
T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1029–1031.
View | Files available | DOI
 
[89]
2017 | Conference Paper | IST-REx-ID: 750
Optimal geospatial volunteer allocation needs realistic distances
J. Pielorz, M. Prandtstetter, M. Straub, C. Lampert, in:, 2017 IEEE International Conference on Big Data, IEEE, 2017, pp. 3760–3763.
View | DOI
 
[88]
2017 | Conference Paper | IST-REx-ID: 6841 | OA
Extrapolation and learning equations
G.S. Martius, C. Lampert, in:, 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations, 2017.
View | Download Preprint (ext.) | arXiv
 
[87]
2017 | Conference Paper | IST-REx-ID: 998 | OA
iCaRL: Incremental classifier and representation learning
S.A. Rebuffi, A. Kolesnikov, G. Sperl, C. Lampert, in:, IEEE, 2017, pp. 5533–5542.
View | DOI | Download Submitted Version (ext.)
 
[86]
2017 | Conference Paper | IST-REx-ID: 999 | OA
Multi-task learning with labeled and unlabeled tasks
A. Pentina, C. Lampert, in:, Omnipress, 2017, pp. 2807–2816.
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[85]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
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[84]
2017 | Conference Paper | IST-REx-ID: 1108 | OA
Learning theory for conditional risk minimization
A. Zimin, C. Lampert, in:, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–222.
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[83]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, 2017, p. 85.1-85.12.
View | Files available | DOI | arXiv
 
[82]
2016 | Conference Paper | IST-REx-ID: 1707 View | DOI
 
[81]
2016 | Conference Paper | IST-REx-ID: 1369 | OA
Seed, expand and constrain: Three principles for weakly-supervised image segmentation
A. Kolesnikov, C. Lampert, in:, Springer, 2016, pp. 695–711.
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[80]
2016 | Conference Paper | IST-REx-ID: 1102 | OA
Improving weakly-supervised object localization by micro-annotation
A. Kolesnikov, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2016, BMVA Press, 2016, p. 92.1-92.12.
View | DOI | Download Published Version (ext.)
 
[79]
2015 | Conference Paper | IST-REx-ID: 1857 | OA
Curriculum learning of multiple tasks
A. Pentina, V. Sharmanska, C. Lampert, in:, IEEE, 2015, pp. 5492–5500.
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[78]
2015 | Conference Paper | IST-REx-ID: 1858 | OA View | DOI | Download Preprint (ext.) | arXiv
 
[77]
2015 | Conference Paper | IST-REx-ID: 1859 | OA
A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle
N. Shah, V. Kolmogorov, C. Lampert, in:, IEEE, 2015, pp. 2737–2745.
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[76]
2015 | Conference Paper | IST-REx-ID: 1860 | OA
Classifier adaptation at prediction time
A. Royer, C. Lampert, in:, IEEE, 2015, pp. 1401–1409.
View | DOI | Download Submitted Version (ext.)
 
[75]
2015 | Conference Paper | IST-REx-ID: 1425 | OA
Lifelong learning with non-i.i.d. tasks
A. Pentina, C. Lampert, in:, Neural Information Processing Systems, 2015, pp. 1540–1548.
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[74]
2014 | Conference Paper | IST-REx-ID: 2033 | OA
Mind the nuisance: Gaussian process classification using privileged noise
D. Hernandez Lobato, V. Sharmanska, K. Kersting, C. Lampert, N. Quadrianto, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems, 2014, pp. 837–845.
View | Download Submitted Version (ext.)
 
[73]
2014 | Conference Paper | IST-REx-ID: 2160 | OA
A PAC-Bayesian bound for Lifelong Learning
A. Pentina, C. Lampert, in:, E. Xing, T. Jebara (Eds.), Omnipress, 2014, pp. 991–999.
View | Download Submitted Version (ext.)
 
[72]
2014 | Conference Paper | IST-REx-ID: 2171 | OA
Closed-form approximate CRF training for scalable image segmentation
A. Kolesnikov, M. Guillaumin, V. Ferrari, C. Lampert, in:, D. Fleet, T. Pajdla, B. Schiele, T. Tuytelaars (Eds.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 550–565.
View | DOI | Download Submitted Version (ext.)
 
[71]
2014 | Conference Paper | IST-REx-ID: 2172
Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters
V. Sydorov, M. Sakurada, C. Lampert, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–1409.
View | DOI
 
[70]
2014 | Conference Paper | IST-REx-ID: 2173 | OA
CoConut: Co-classification with output space regularization
S. Khamis, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
View | Files available
 
[69]
2014 | Book Chapter | IST-REx-ID: 1829
Movement templates for learning of hitting and batting
K. Muelling, O. Kroemer, C. Lampert, B. Schölkopf, in:, J. Kober, J. Peters (Eds.), Learning Motor Skills, Springer, 2014, pp. 69–82.
View | DOI
 
[68]
2013 | Conference Paper | IST-REx-ID: 2293 | OA
Learning to rank using privileged information
V. Sharmanska, N. Quadrianto, C. Lampert, in:, IEEE, 2013, pp. 825–832.
View | DOI | Download Submitted Version (ext.)
 
[67]
2013 | Conference Paper | IST-REx-ID: 2294 | OA
Drosophila Embryo Stage Annotation using Label Propagation
T. Kazmar, E. Kvon, A. Stark, C. Lampert, in:, IEEE, 2013.
View | DOI | Download Submitted Version (ext.)
 
[66]
2013 | Journal Article | IST-REx-ID: 2516
Attribute-based classification for zero-shot learning of object categories
C. Lampert, H. Nickisch, S. Harmeling, IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (2013) 453–465.
View | DOI
 
[65]
2013 | Conference Paper | IST-REx-ID: 2901 | OA
Computing the M most probable modes of a graphical model
C. Chen, V. Kolmogorov, Z. Yan, D. Metaxas, C. Lampert, in:, JMLR, 2013, pp. 161–169.
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[64]
2013 | Conference Paper | IST-REx-ID: 2948 | OA
Beyond dataset bias: Multi-task unaligned shared knowledge transfer
T. Tommasi, N. Quadrianto, B. Caputo, C. Lampert, 7724 (2013) 1–15.
View | Files available | DOI
 
[63]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Kernel based learning
N. Quadrianto, C. Lampert, in:, W. Dubitzky, O. Wolkenhauer, K. Cho, H. Yokota (Eds.), Encyclopedia of Systems Biology, Springer, 2013, pp. 1069–1069.
View | DOI
 
[62]
2012 | Technical Report | IST-REx-ID: 5396 | OA
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, Approximating Marginals Using Discrete Energy Minimization, IST Austria, 2012.
View | Files available | DOI
 
[61]
2012 | Conference Paper | IST-REx-ID: 2825
Dynamic pruning of factor graphs for maximum marginal prediction
C. Lampert, in:, Neural Information Processing Systems, 2012, pp. 82–90.
View
 
[60]
2012 | Conference Paper | IST-REx-ID: 2915
Multi-modal learning for dynamic tactile sensing
O. Kroemer, C. Lampert, J. Peters, in:, Deutsches Zentrum für Luft und Raumfahrt, 2012.
View
 
[59]
2012 | Conference Paper | IST-REx-ID: 3124 | OA
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, in:, ICML, 2012.
View | Files available
 
[58]
2012 | Conference Paper | IST-REx-ID: 3125 | OA
Augmented attribute representations
V. Sharmanska, N. Quadrianto, C. Lampert, in:, Springer, 2012, pp. 242–255.
View | Files available | DOI
 
[57]
2012 | Conference Paper | IST-REx-ID: 3126
Information theoretic clustering using minimal spanning trees
A. Müller, S. Nowozin, C. Lampert, in:, Springer, 2012, pp. 205–215.
View | DOI
 
[56]
2012 | Conference Paper | IST-REx-ID: 3127 | OA
The most persistent soft-clique in a set of sampled graphs
N. Quadrianto, C. Lampert, C. Chen, in:, Proceedings of the 29th International Conference on Machine Learning, Omnipress, 2012, pp. 211–218.
View | Download Preprint (ext.)
 
[55]
2012 | Journal Article | IST-REx-ID: 3164
Guest editorial: Special issue on structured prediction and inference
M. Blaschko, C. Lampert, International Journal of Computer Vision 99 (2012) 257–258.
View | DOI
 
[54]
2012 | Journal Article | IST-REx-ID: 3248 | OA
Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components
C. Lampert, J. Peters, Journal of Real-Time Image Processing 7 (2012) 31–41.
View | Files available | DOI
 
[53]
2011 | Technical Report | IST-REx-ID: 5386 | OA
Enforcing topological constraints in random field image segmentation
C. Chen, D. Freedman, C. Lampert, Enforcing Topological Constraints in Random Field Image Segmentation, IST Austria, 2011.
View | Files available | DOI
 
[52]
2011 | Conference Paper | IST-REx-ID: 3163
Maximum margin multi-label structured prediction
C. Lampert, in:, Neural Information Processing Systems, 2011.
View | Files available
 
[51]
2011 | Conference Paper | IST-REx-ID: 3319
Learning multi-view neighborhood preserving projections
N. Quadrianto, C. Lampert, in:, Omnipress, 2011, pp. 425–432.
View
 
[50]
2011 | Journal Article | IST-REx-ID: 3320 | OA
Structured learning and prediction in computer vision
S. Nowozin, C. Lampert, Foundations and Trends in Computer Graphics and Vision 6 (2011) 185–365.
View | Files available | DOI
 
[49]
2011 | Conference Poster | IST-REx-ID: 3322
Maximum margin multi label structured prediction
C. Lampert, Maximum Margin Multi Label Structured Prediction, Neural Information Processing Systems, 2011.
View | Files available
 
[48]
2011 | Conference Paper | IST-REx-ID: 3336
Enforcing topological constraints in random field image segmentation
C. Chen, D. Freedman, C. Lampert, in:, CVPR: Computer Vision and Pattern Recognition, IEEE, 2011, pp. 2089–2096.
View | Files available | DOI
 
[47]
2011 | Conference Paper | IST-REx-ID: 3337
Learning anticipation policies for robot table tennis
Z. Wang, C. Lampert, K. Mülling, B. Schölkopf, J. Peters, in:, IEEE, 2011, pp. 332–337.
View | DOI
 
[46]
2011 | Journal Article | IST-REx-ID: 3382
Learning dynamic tactile sensing with robust vision based training
O. Kroemer, C. Lampert, J. Peters, IEEE Transactions on Robotics 27 (2011) 545–557.
View | DOI
 
[45]
2011 | Journal Article | IST-REx-ID: 3389
Semi supervised kernel canonical correlation analysis with application to human fMRI
M. Blaschko, J. Shelton, A. Bartels, C. Lampert, A. Gretton, Pattern Recognition Letters 32 (2011) 1572–1583.
View | DOI
 
[44]
2010 | Conference Paper | IST-REx-ID: 3676
Topic models for semantic video compression
J. Wanke, A. Ulges, C. Lampert, T. Breuel, in:, ACM, 2010, pp. 275–284.
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[43]
2010 | Conference Paper | IST-REx-ID: 3682
Optimizing one-shot recognition with micro-set learning
K. Tang, M. Tappen, R. Sukthankar, C. Lampert, in:, IEEE, 2010, pp. 3027–3034.
View | DOI
 
[42]
2010 | Journal Article | IST-REx-ID: 3686
Global interactions in random field models: A potential function ensuring connectedness
S. Nowozin, C. Lampert, SIAM Journal on Imaging Sciences 3 (2010) 1048–1074.
View | DOI
 
[41]
2010 | Journal Article | IST-REx-ID: 3697
Unsupervised object discovery: A comparison
T. Tuytelaars, C. Lampert, M. Blaschko, W. Buntine, International Journal of Computer Vision 88 (2010) 284–302.
View | DOI
 
[40]
2010 | Conference Paper | IST-REx-ID: 3702
Movement templates for learning of hitting and batting
J. Kober, K. Mülling, O. Krömer, C. Lampert, B. Schölkopf, J. Peters, in:, IEEE, 2010, pp. 853–858.
View | DOI | Download (ext.)
 
[39]
2010 | Conference Paper | IST-REx-ID: 3713
An efficient divide-and-conquer cascade for nonlinear object detection
C. Lampert, in:, IEEE, 2010, pp. 1022–1029.
View | DOI
 
[38]
2010 | Conference Paper | IST-REx-ID: 3793 | OA
On parameter learning in CRF-based approaches to object class image segmentation
S. Nowozin, P. Gehler, C. Lampert, in:, Springer, 2010, pp. 98–111.
View | Files available | DOI
 
[37]
2010 | Conference Paper | IST-REx-ID: 3794 View | DOI | Download None (ext.)
 
[36]
2009 | Conference Paper | IST-REx-ID: 3690
Combining appearance and motion for human action classification in videos
P. Dhillon, S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 22–29.
View | DOI
 
[35]
2009 | Journal Article | IST-REx-ID: 3696
Structured prediction by joint kernel support estimation
C. Lampert, M. Blaschko, Machine Learning 77 (2009) 249–269.
View | DOI
 
[34]
2009 | Conference Poster | IST-REx-ID: 3699
Semi-supervised analysis of human fMRI data
M. Blaschko, C. Lampert, A. Bartels, Semi-Supervised Analysis of Human FMRI Data, Berlin Institute of Technology, 2009.
View | Download (ext.)
 
[33]
2009 | Conference Paper | IST-REx-ID: 3703
Object localization with global and local context kernels
M. Blaschko, C. Lampert, in:, BMVA Press, 2009, pp. 1–11.
View | DOI | Download (ext.)
 
[32]
2009 | Conference Paper | IST-REx-ID: 3704
Learning to detect unseen object classes by between-class attribute transfer
C. Lampert, H. Nickisch, S. Harmeling, in:, IEEE, 2009, pp. 951–958.
View | DOI
 
[31]
2009 | Book | IST-REx-ID: 3707
Kernel methods in computer vision
C. Lampert, Kernel Methods in Computer Vision, now, 2009.
View | DOI
 
[30]
2009 | Conference Paper | IST-REx-ID: 3708
Global connectivity potentials for random field models
S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 818–825.
View | DOI
 
[29]
2009 | Conference Paper | IST-REx-ID: 3709 View | DOI
 
[28]
2009 | Journal Article | IST-REx-ID: 3710
Efficient subwindow search: A branch and bound framework for object localization
C. Lampert, M. Blaschko, T. Hofmann, IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2009) 2129–2142.
View | DOI | Download (ext.)
 
[27]
2009 | Conference Paper | IST-REx-ID: 3711
Combining appearance and motion for human action classification in videos
P. Dhillon, S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 22–29.
View | DOI | Download (ext.)
 
[26]
2009 | Conference Paper | IST-REx-ID: 3715
Active structured learning for high-speed object detection
C. Lampert, J. Peters, in:, Springer, 2009, pp. 221–231.
View | DOI
 
[25]
2009 | Conference Poster | IST-REx-ID: 3717
A high-speed object tracker from off-the-shelf components
C. Lampert, J. Peters, A High-Speed Object Tracker from off-the-Shelf Components, IEEE, 2009.
View | Download (ext.)
 
[24]
2008 | Conference Paper | IST-REx-ID: 3694
Bayes optimal DDoS mitigation by adaptive history-based IP filtering
M. Goldstein, C. Lampert, M. Reif, A. Stahl, T. Breuel, in:, IEEE, 2008, pp. 174–179.
View | DOI | Download (ext.)
 
[23]
2008 | Conference Paper | IST-REx-ID: 3698
Semi-supervised Laplacian regularization of kernel canonical correlation analysis
M. Blaschko, C. Lampert, A. Gretton, in:, Springer, 2008, pp. 133–145.
View | DOI
 
[22]
2008 | Conference Paper | IST-REx-ID: 3700 View | DOI | Download (ext.)
 
[21]
2008 | Conference Paper | IST-REx-ID: 3705
Learning to localize objects with structured output regression
M. Blaschko, C. Lampert, in:, Springer, 2008, pp. 2–15.
View | DOI | Download (ext.)
 
[20]
2008 | Conference Paper | IST-REx-ID: 3706
Joint kernel support estimation for structured prediction
C. Lampert, M. Blaschko, in:, Curran Associates, Inc., 2008, pp. 1–4.
View | Download (ext.)
 
[19]
2008 | Conference Paper | IST-REx-ID: 3712
Correlational spectral clustering
M. Blaschko, C. Lampert, in:, IEEE, 2008, pp. 1–8.
View | DOI
 
[18]
2008 | Conference Paper | IST-REx-ID: 3714
Beyond sliding windows: Object localization by efficient subwindow search
C. Lampert, M. Blaschko, T. Hofmann, in:, IEEE, 2008, pp. 1–8.
View | DOI | Download (ext.)
 
[17]
2008 | Conference Paper | IST-REx-ID: 3716
A multiple kernel learning approach to joint multi-class object detection
C. Lampert, M. Blaschko, in:, Springer, 2008, pp. 31–40.
View | DOI | Download (ext.)
 
[16]
2007 | Conference Paper | IST-REx-ID: 3681
Optimal dominant motion estimation using adaptive search of transformation space
A. Ulges, C. Lampert, D. Keysers, T. Breuel, in:, Springer, 2007, pp. 204–213.
View | DOI
 
[15]
2007 | Report | IST-REx-ID: 3687
Efficient subwindow search for object localization
M. Blaschko, T. Hofmann, C. Lampert, Efficient Subwindow Search for Object Localization, Max-Planck-Institute for Biological Cybernetics, 2007.
View | Download (ext.)
 
[14]
2007 | Conference Paper | IST-REx-ID: 3701
Optimal dominant motion estimation using adaptive search of transformation space
A. Ulges, C. Lampert, D. Keysers, T. Breuel, in:, Springer, 2007, pp. 204–213.
View | DOI
 
[13]
2006 | Conference Paper | IST-REx-ID: 3677
Spatiogram-based shot distances for video retrieval
A. Ulges, C. Lampert, D. Keysers, in:, NIST (National Institute of Standards and Technology, US Department of Commerce), 2006, pp. 1–10.
View | Download (ext.)
 
[12]
2006 | Conference Paper | IST-REx-ID: 3679
Satellite tracks removal in astronomical images
H. Ali, C. Lampert, T. Breuel, in:, Springer, 2006, pp. 892–901.
View | DOI | Download (ext.)
 
[11]
2006 | Conference Paper | IST-REx-ID: 3680
Printing technique classification for document counterfeit detection
C. Lampert, L. Mei, T. Breuel, in:, IEEE, 2006, pp. 639–634.
View | DOI | Download (ext.)
 
[10]
2006 | Conference Paper | IST-REx-ID: 3683 View | Download (ext.)
 
[9]
2006 | Conference Paper | IST-REx-ID: 3685
Machine learning for video compression: Macroblock mode decision
C. Lampert, in:, IEEE, 2006, pp. 936–940.
View | DOI
 

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108 Publications

Mark all

[108]
2020 | Conference Paper | IST-REx-ID: 7481 | OA
Functional vs. parametric equivalence of ReLU networks
P. Bui Thi Mai, C. Lampert, in:, n.d.
View | Files available
 
[107]
2020 | Conference Paper | IST-REx-ID: 8186 | OA
Leveraging 2D data to learn textured 3D mesh generation
P.M. Henderson, V. Tsiminaki, C. Lampert, in:, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVF, 2020, pp. 7498–7507.
View | Files available | Download Submitted Version (ext.) | arXiv
 
[106]
2020 | Preprint | IST-REx-ID: 8188 | OA View | Download Preprint (ext.) | arXiv
 
[105]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Localizing grouped instances for efficient detection in low-resource scenarios
A. Royer, C. Lampert, in:, IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020, pp. 1716–1725.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[104]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
A flexible selection scheme for minimum-effort transfer learning
A. Royer, C. Lampert, in:, 2020 IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[103]
2020 | Preprint | IST-REx-ID: 8724
On the sample complexity of adversarial multi-source PAC learning
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, ArXiv (n.d.).
View | arXiv
 
[102]
2020 | Preprint | IST-REx-ID: 8063 | OA
Object-centric image generation with factored depths, locations, and appearances
T. Anciukevicius, C. Lampert, P.M. Henderson, ArXiv (n.d.).
View | Download Preprint (ext.) | arXiv
 
[101]
2019 | Conference Paper | IST-REx-ID: 7479 | OA
Distillation-based training for multi-exit architectures
P. Bui Thi Mai, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
View | Files available | DOI
 
[100]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Detecting visual relationships using box attention
A. Kolesnikov, A. Kuznetsova, C. Lampert, V. Ferrari, in:, Proceedings of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019, pp. 1749–1753.
View | DOI | Download Preprint (ext.) | arXiv
 
[99]
2019 | Journal Article | IST-REx-ID: 6554 | OA
Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly
Y. Xian, C. Lampert, B. Schiele, Z. Akata, IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (2019) 2251–2265.
View | DOI | Download Preprint (ext.) | arXiv
 
[98]
2019 | Conference Paper | IST-REx-ID: 6569 | OA
Towards understanding knowledge distillation
P. Bui Thi Mai, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 5142–5151.
View | Files available
 
[97]
2019 | Conference Paper | IST-REx-ID: 6590 | OA
Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 3488–3498.
View | Download Preprint (ext.) | arXiv
 
[96]
2019 | Conference Paper | IST-REx-ID: 6942 | OA
Strategy representation by decision trees with linear classifiers
P. Ashok, T. Brázdil, K. Chatterjee, J. Křetínský, C. Lampert, V. Toman, in:, 16th International Conference on Quantitative Evaluation of Systems, Springer Nature, 2019, pp. 109–128.
View | DOI | Download Preprint (ext.) | arXiv
 
[95]
2019 | Book (Editor) | IST-REx-ID: 7171
Wie Maschinen lernen
K. Kersting, C. Lampert, C. Rothkopf, eds., Wie Maschinen Lernen, Springer Nature, 2019.
View | Files available | DOI
 
[94]
2019 | Journal Article | IST-REx-ID: 6944 | OA
KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications
R. Sun, C. Lampert, International Journal of Computer Vision 128 (2019) 970–995.
View | Files available | DOI
 
[93]
2019 | Conference Paper | IST-REx-ID: 6482 | OA
KS(conf): A light-weight test if a ConvNet operates outside of Its specifications
R. Sun, C. Lampert, in:, Springer Nature, 2019, pp. 244–259.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[92]
2018 | Conference Paper | IST-REx-ID: 6011 | OA
Data-dependent stability of stochastic gradient descent
I. Kuzborskij, C. Lampert, in:, Proceedings of the 35 Th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 2815–2824.
View | Download Preprint (ext.) | arXiv
 
[91]
2018 | Conference Paper | IST-REx-ID: 6012 | OA
Learning equations for extrapolation and control
S. Sahoo, C. Lampert, G.S. Martius, in:, Proceedings of the 35th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 4442–4450.
View | Files available | Download Preprint (ext.) | arXiv
 
[90]
2018 | Journal Article | IST-REx-ID: 321 | OA
Guest editors' introduction to the special section on learning with Shared information for computer vision and multimedia analysis
T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1029–1031.
View | Files available | DOI
 
[89]
2017 | Conference Paper | IST-REx-ID: 750
Optimal geospatial volunteer allocation needs realistic distances
J. Pielorz, M. Prandtstetter, M. Straub, C. Lampert, in:, 2017 IEEE International Conference on Big Data, IEEE, 2017, pp. 3760–3763.
View | DOI
 
[88]
2017 | Conference Paper | IST-REx-ID: 6841 | OA
Extrapolation and learning equations
G.S. Martius, C. Lampert, in:, 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations, 2017.
View | Download Preprint (ext.) | arXiv
 
[87]
2017 | Conference Paper | IST-REx-ID: 998 | OA
iCaRL: Incremental classifier and representation learning
S.A. Rebuffi, A. Kolesnikov, G. Sperl, C. Lampert, in:, IEEE, 2017, pp. 5533–5542.
View | DOI | Download Submitted Version (ext.)
 
[86]
2017 | Conference Paper | IST-REx-ID: 999 | OA
Multi-task learning with labeled and unlabeled tasks
A. Pentina, C. Lampert, in:, Omnipress, 2017, pp. 2807–2816.
View | Download Submitted Version (ext.)
 
[85]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
View | Download Submitted Version (ext.)
 
[84]
2017 | Conference Paper | IST-REx-ID: 1108 | OA
Learning theory for conditional risk minimization
A. Zimin, C. Lampert, in:, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–222.
View | Download Submitted Version (ext.)
 
[83]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, 2017, p. 85.1-85.12.
View | Files available | DOI | arXiv
 
[82]
2016 | Conference Paper | IST-REx-ID: 1707 View | DOI
 
[81]
2016 | Conference Paper | IST-REx-ID: 1369 | OA
Seed, expand and constrain: Three principles for weakly-supervised image segmentation
A. Kolesnikov, C. Lampert, in:, Springer, 2016, pp. 695–711.
View | DOI | Download Preprint (ext.)
 
[80]
2016 | Conference Paper | IST-REx-ID: 1102 | OA
Improving weakly-supervised object localization by micro-annotation
A. Kolesnikov, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2016, BMVA Press, 2016, p. 92.1-92.12.
View | DOI | Download Published Version (ext.)
 
[79]
2015 | Conference Paper | IST-REx-ID: 1857 | OA
Curriculum learning of multiple tasks
A. Pentina, V. Sharmanska, C. Lampert, in:, IEEE, 2015, pp. 5492–5500.
View | DOI | Download Preprint (ext.)
 
[78]
2015 | Conference Paper | IST-REx-ID: 1858 | OA View | DOI | Download Preprint (ext.) | arXiv
 
[77]
2015 | Conference Paper | IST-REx-ID: 1859 | OA
A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle
N. Shah, V. Kolmogorov, C. Lampert, in:, IEEE, 2015, pp. 2737–2745.
View | DOI | Download Preprint (ext.)
 
[76]
2015 | Conference Paper | IST-REx-ID: 1860 | OA
Classifier adaptation at prediction time
A. Royer, C. Lampert, in:, IEEE, 2015, pp. 1401–1409.
View | DOI | Download Submitted Version (ext.)
 
[75]
2015 | Conference Paper | IST-REx-ID: 1425 | OA
Lifelong learning with non-i.i.d. tasks
A. Pentina, C. Lampert, in:, Neural Information Processing Systems, 2015, pp. 1540–1548.
View | Download None (ext.)
 
[74]
2014 | Conference Paper | IST-REx-ID: 2033 | OA
Mind the nuisance: Gaussian process classification using privileged noise
D. Hernandez Lobato, V. Sharmanska, K. Kersting, C. Lampert, N. Quadrianto, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems, 2014, pp. 837–845.
View | Download Submitted Version (ext.)
 
[73]
2014 | Conference Paper | IST-REx-ID: 2160 | OA
A PAC-Bayesian bound for Lifelong Learning
A. Pentina, C. Lampert, in:, E. Xing, T. Jebara (Eds.), Omnipress, 2014, pp. 991–999.
View | Download Submitted Version (ext.)
 
[72]
2014 | Conference Paper | IST-REx-ID: 2171 | OA
Closed-form approximate CRF training for scalable image segmentation
A. Kolesnikov, M. Guillaumin, V. Ferrari, C. Lampert, in:, D. Fleet, T. Pajdla, B. Schiele, T. Tuytelaars (Eds.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 550–565.
View | DOI | Download Submitted Version (ext.)
 
[71]
2014 | Conference Paper | IST-REx-ID: 2172
Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters
V. Sydorov, M. Sakurada, C. Lampert, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–1409.
View | DOI
 
[70]
2014 | Conference Paper | IST-REx-ID: 2173 | OA
CoConut: Co-classification with output space regularization
S. Khamis, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
View | Files available
 
[69]
2014 | Book Chapter | IST-REx-ID: 1829
Movement templates for learning of hitting and batting
K. Muelling, O. Kroemer, C. Lampert, B. Schölkopf, in:, J. Kober, J. Peters (Eds.), Learning Motor Skills, Springer, 2014, pp. 69–82.
View | DOI
 
[68]
2013 | Conference Paper | IST-REx-ID: 2293 | OA
Learning to rank using privileged information
V. Sharmanska, N. Quadrianto, C. Lampert, in:, IEEE, 2013, pp. 825–832.
View | DOI | Download Submitted Version (ext.)
 
[67]
2013 | Conference Paper | IST-REx-ID: 2294 | OA
Drosophila Embryo Stage Annotation using Label Propagation
T. Kazmar, E. Kvon, A. Stark, C. Lampert, in:, IEEE, 2013.
View | DOI | Download Submitted Version (ext.)
 
[66]
2013 | Journal Article | IST-REx-ID: 2516
Attribute-based classification for zero-shot learning of object categories
C. Lampert, H. Nickisch, S. Harmeling, IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (2013) 453–465.
View | DOI
 
[65]
2013 | Conference Paper | IST-REx-ID: 2901 | OA
Computing the M most probable modes of a graphical model
C. Chen, V. Kolmogorov, Z. Yan, D. Metaxas, C. Lampert, in:, JMLR, 2013, pp. 161–169.
View | Download None (ext.)
 
[64]
2013 | Conference Paper | IST-REx-ID: 2948 | OA
Beyond dataset bias: Multi-task unaligned shared knowledge transfer
T. Tommasi, N. Quadrianto, B. Caputo, C. Lampert, 7724 (2013) 1–15.
View | Files available | DOI
 
[63]
2013 | Encyclopedia Article | IST-REx-ID: 3321
Kernel based learning
N. Quadrianto, C. Lampert, in:, W. Dubitzky, O. Wolkenhauer, K. Cho, H. Yokota (Eds.), Encyclopedia of Systems Biology, Springer, 2013, pp. 1069–1069.
View | DOI
 
[62]
2012 | Technical Report | IST-REx-ID: 5396 | OA
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, Approximating Marginals Using Discrete Energy Minimization, IST Austria, 2012.
View | Files available | DOI
 
[61]
2012 | Conference Paper | IST-REx-ID: 2825
Dynamic pruning of factor graphs for maximum marginal prediction
C. Lampert, in:, Neural Information Processing Systems, 2012, pp. 82–90.
View
 
[60]
2012 | Conference Paper | IST-REx-ID: 2915
Multi-modal learning for dynamic tactile sensing
O. Kroemer, C. Lampert, J. Peters, in:, Deutsches Zentrum für Luft und Raumfahrt, 2012.
View
 
[59]
2012 | Conference Paper | IST-REx-ID: 3124 | OA
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, in:, ICML, 2012.
View | Files available
 
[58]
2012 | Conference Paper | IST-REx-ID: 3125 | OA
Augmented attribute representations
V. Sharmanska, N. Quadrianto, C. Lampert, in:, Springer, 2012, pp. 242–255.
View | Files available | DOI
 
[57]
2012 | Conference Paper | IST-REx-ID: 3126
Information theoretic clustering using minimal spanning trees
A. Müller, S. Nowozin, C. Lampert, in:, Springer, 2012, pp. 205–215.
View | DOI
 
[56]
2012 | Conference Paper | IST-REx-ID: 3127 | OA
The most persistent soft-clique in a set of sampled graphs
N. Quadrianto, C. Lampert, C. Chen, in:, Proceedings of the 29th International Conference on Machine Learning, Omnipress, 2012, pp. 211–218.
View | Download Preprint (ext.)
 
[55]
2012 | Journal Article | IST-REx-ID: 3164
Guest editorial: Special issue on structured prediction and inference
M. Blaschko, C. Lampert, International Journal of Computer Vision 99 (2012) 257–258.
View | DOI
 
[54]
2012 | Journal Article | IST-REx-ID: 3248 | OA
Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components
C. Lampert, J. Peters, Journal of Real-Time Image Processing 7 (2012) 31–41.
View | Files available | DOI
 
[53]
2011 | Technical Report | IST-REx-ID: 5386 | OA
Enforcing topological constraints in random field image segmentation
C. Chen, D. Freedman, C. Lampert, Enforcing Topological Constraints in Random Field Image Segmentation, IST Austria, 2011.
View | Files available | DOI
 
[52]
2011 | Conference Paper | IST-REx-ID: 3163
Maximum margin multi-label structured prediction
C. Lampert, in:, Neural Information Processing Systems, 2011.
View | Files available
 
[51]
2011 | Conference Paper | IST-REx-ID: 3319
Learning multi-view neighborhood preserving projections
N. Quadrianto, C. Lampert, in:, Omnipress, 2011, pp. 425–432.
View
 
[50]
2011 | Journal Article | IST-REx-ID: 3320 | OA
Structured learning and prediction in computer vision
S. Nowozin, C. Lampert, Foundations and Trends in Computer Graphics and Vision 6 (2011) 185–365.
View | Files available | DOI
 
[49]
2011 | Conference Poster | IST-REx-ID: 3322
Maximum margin multi label structured prediction
C. Lampert, Maximum Margin Multi Label Structured Prediction, Neural Information Processing Systems, 2011.
View | Files available
 
[48]
2011 | Conference Paper | IST-REx-ID: 3336
Enforcing topological constraints in random field image segmentation
C. Chen, D. Freedman, C. Lampert, in:, CVPR: Computer Vision and Pattern Recognition, IEEE, 2011, pp. 2089–2096.
View | Files available | DOI
 
[47]
2011 | Conference Paper | IST-REx-ID: 3337
Learning anticipation policies for robot table tennis
Z. Wang, C. Lampert, K. Mülling, B. Schölkopf, J. Peters, in:, IEEE, 2011, pp. 332–337.
View | DOI
 
[46]
2011 | Journal Article | IST-REx-ID: 3382
Learning dynamic tactile sensing with robust vision based training
O. Kroemer, C. Lampert, J. Peters, IEEE Transactions on Robotics 27 (2011) 545–557.
View | DOI
 
[45]
2011 | Journal Article | IST-REx-ID: 3389
Semi supervised kernel canonical correlation analysis with application to human fMRI
M. Blaschko, J. Shelton, A. Bartels, C. Lampert, A. Gretton, Pattern Recognition Letters 32 (2011) 1572–1583.
View | DOI
 
[44]
2010 | Conference Paper | IST-REx-ID: 3676
Topic models for semantic video compression
J. Wanke, A. Ulges, C. Lampert, T. Breuel, in:, ACM, 2010, pp. 275–284.
View | DOI | Download (ext.)
 
[43]
2010 | Conference Paper | IST-REx-ID: 3682
Optimizing one-shot recognition with micro-set learning
K. Tang, M. Tappen, R. Sukthankar, C. Lampert, in:, IEEE, 2010, pp. 3027–3034.
View | DOI
 
[42]
2010 | Journal Article | IST-REx-ID: 3686
Global interactions in random field models: A potential function ensuring connectedness
S. Nowozin, C. Lampert, SIAM Journal on Imaging Sciences 3 (2010) 1048–1074.
View | DOI
 
[41]
2010 | Journal Article | IST-REx-ID: 3697
Unsupervised object discovery: A comparison
T. Tuytelaars, C. Lampert, M. Blaschko, W. Buntine, International Journal of Computer Vision 88 (2010) 284–302.
View | DOI
 
[40]
2010 | Conference Paper | IST-REx-ID: 3702
Movement templates for learning of hitting and batting
J. Kober, K. Mülling, O. Krömer, C. Lampert, B. Schölkopf, J. Peters, in:, IEEE, 2010, pp. 853–858.
View | DOI | Download (ext.)
 
[39]
2010 | Conference Paper | IST-REx-ID: 3713
An efficient divide-and-conquer cascade for nonlinear object detection
C. Lampert, in:, IEEE, 2010, pp. 1022–1029.
View | DOI
 
[38]
2010 | Conference Paper | IST-REx-ID: 3793 | OA
On parameter learning in CRF-based approaches to object class image segmentation
S. Nowozin, P. Gehler, C. Lampert, in:, Springer, 2010, pp. 98–111.
View | Files available | DOI
 
[37]
2010 | Conference Paper | IST-REx-ID: 3794 View | DOI | Download None (ext.)
 
[36]
2009 | Conference Paper | IST-REx-ID: 3690
Combining appearance and motion for human action classification in videos
P. Dhillon, S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 22–29.
View | DOI
 
[35]
2009 | Journal Article | IST-REx-ID: 3696
Structured prediction by joint kernel support estimation
C. Lampert, M. Blaschko, Machine Learning 77 (2009) 249–269.
View | DOI
 
[34]
2009 | Conference Poster | IST-REx-ID: 3699
Semi-supervised analysis of human fMRI data
M. Blaschko, C. Lampert, A. Bartels, Semi-Supervised Analysis of Human FMRI Data, Berlin Institute of Technology, 2009.
View | Download (ext.)
 
[33]
2009 | Conference Paper | IST-REx-ID: 3703
Object localization with global and local context kernels
M. Blaschko, C. Lampert, in:, BMVA Press, 2009, pp. 1–11.
View | DOI | Download (ext.)
 
[32]
2009 | Conference Paper | IST-REx-ID: 3704
Learning to detect unseen object classes by between-class attribute transfer
C. Lampert, H. Nickisch, S. Harmeling, in:, IEEE, 2009, pp. 951–958.
View | DOI
 
[31]
2009 | Book | IST-REx-ID: 3707
Kernel methods in computer vision
C. Lampert, Kernel Methods in Computer Vision, now, 2009.
View | DOI
 
[30]
2009 | Conference Paper | IST-REx-ID: 3708
Global connectivity potentials for random field models
S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 818–825.
View | DOI
 
[29]
2009 | Conference Paper | IST-REx-ID: 3709 View | DOI
 
[28]
2009 | Journal Article | IST-REx-ID: 3710
Efficient subwindow search: A branch and bound framework for object localization
C. Lampert, M. Blaschko, T. Hofmann, IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2009) 2129–2142.
View | DOI | Download (ext.)
 
[27]
2009 | Conference Paper | IST-REx-ID: 3711
Combining appearance and motion for human action classification in videos
P. Dhillon, S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 22–29.
View | DOI | Download (ext.)
 
[26]
2009 | Conference Paper | IST-REx-ID: 3715
Active structured learning for high-speed object detection
C. Lampert, J. Peters, in:, Springer, 2009, pp. 221–231.
View | DOI
 
[25]
2009 | Conference Poster | IST-REx-ID: 3717
A high-speed object tracker from off-the-shelf components
C. Lampert, J. Peters, A High-Speed Object Tracker from off-the-Shelf Components, IEEE, 2009.
View | Download (ext.)
 
[24]
2008 | Conference Paper | IST-REx-ID: 3694
Bayes optimal DDoS mitigation by adaptive history-based IP filtering
M. Goldstein, C. Lampert, M. Reif, A. Stahl, T. Breuel, in:, IEEE, 2008, pp. 174–179.
View | DOI | Download (ext.)
 
[23]
2008 | Conference Paper | IST-REx-ID: 3698
Semi-supervised Laplacian regularization of kernel canonical correlation analysis
M. Blaschko, C. Lampert, A. Gretton, in:, Springer, 2008, pp. 133–145.
View | DOI
 
[22]
2008 | Conference Paper | IST-REx-ID: 3700 View | DOI | Download (ext.)
 
[21]
2008 | Conference Paper | IST-REx-ID: 3705
Learning to localize objects with structured output regression
M. Blaschko, C. Lampert, in:, Springer, 2008, pp. 2–15.
View | DOI | Download (ext.)
 
[20]
2008 | Conference Paper | IST-REx-ID: 3706
Joint kernel support estimation for structured prediction
C. Lampert, M. Blaschko, in:, Curran Associates, Inc., 2008, pp. 1–4.
View | Download (ext.)
 
[19]
2008 | Conference Paper | IST-REx-ID: 3712
Correlational spectral clustering
M. Blaschko, C. Lampert, in:, IEEE, 2008, pp. 1–8.
View | DOI
 
[18]
2008 | Conference Paper | IST-REx-ID: 3714
Beyond sliding windows: Object localization by efficient subwindow search
C. Lampert, M. Blaschko, T. Hofmann, in:, IEEE, 2008, pp. 1–8.
View | DOI | Download (ext.)
 
[17]
2008 | Conference Paper | IST-REx-ID: 3716
A multiple kernel learning approach to joint multi-class object detection
C. Lampert, M. Blaschko, in:, Springer, 2008, pp. 31–40.
View | DOI | Download (ext.)
 
[16]
2007 | Conference Paper | IST-REx-ID: 3681
Optimal dominant motion estimation using adaptive search of transformation space
A. Ulges, C. Lampert, D. Keysers, T. Breuel, in:, Springer, 2007, pp. 204–213.
View | DOI
 
[15]
2007 | Report | IST-REx-ID: 3687
Efficient subwindow search for object localization
M. Blaschko, T. Hofmann, C. Lampert, Efficient Subwindow Search for Object Localization, Max-Planck-Institute for Biological Cybernetics, 2007.
View | Download (ext.)
 
[14]
2007 | Conference Paper | IST-REx-ID: 3701
Optimal dominant motion estimation using adaptive search of transformation space
A. Ulges, C. Lampert, D. Keysers, T. Breuel, in:, Springer, 2007, pp. 204–213.
View | DOI
 
[13]
2006 | Conference Paper | IST-REx-ID: 3677
Spatiogram-based shot distances for video retrieval
A. Ulges, C. Lampert, D. Keysers, in:, NIST (National Institute of Standards and Technology, US Department of Commerce), 2006, pp. 1–10.
View | Download (ext.)
 
[12]
2006 | Conference Paper | IST-REx-ID: 3679
Satellite tracks removal in astronomical images
H. Ali, C. Lampert, T. Breuel, in:, Springer, 2006, pp. 892–901.
View | DOI | Download (ext.)
 
[11]
2006 | Conference Paper | IST-REx-ID: 3680
Printing technique classification for document counterfeit detection
C. Lampert, L. Mei, T. Breuel, in:, IEEE, 2006, pp. 639–634.
View | DOI | Download (ext.)
 
[10]
2006 | Conference Paper | IST-REx-ID: 3683 View | Download (ext.)
 
[9]
2006 | Conference Paper | IST-REx-ID: 3685
Machine learning for video compression: Macroblock mode decision
C. Lampert, in:, IEEE, 2006, pp. 936–940.
View | DOI
 

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