99 Publications

Mark all

[99]
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
 
[98]
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 (ext.) | arXiv
 
[97]
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 (ext.) | arXiv
 
[96]
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
 
[95]
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, n.d.
View | Download (ext.) | arXiv
 
[94]
2019 | Conference Paper | IST-REx-ID: 6482
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 (ext.) | arXiv
 
[93]
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 (2019).
View | Files available | DOI
 
[92]
2018 | Journal Article | IST-REx-ID: 321
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 | DOI
 
[91]
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 (ext.) | arXiv
 
[90]
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 (ext.) | arXiv
 
[89]
2017 | Conference Paper | IST-REx-ID: 911   OA
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, n.d.
View | Download (ext.)
 
[88]
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 (ext.)
 
[87]
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 (ext.) | arXiv
 
[86]
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 (ext.)
 
[85]
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 (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 (ext.)
 
[83]
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
 
[82]
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 (ext.)
 
[81]
2016 | Conference Paper | IST-REx-ID: 1707 View | DOI
 
[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 (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 (ext.)
 
[78]
2015 | Conference Paper | IST-REx-ID: 1858   OA View | DOI | Download (ext.) | arXiv
 
[77]
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 (ext.)
 
[76]
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 (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 (ext.)
 
[74]
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 (ext.)
 
[73]
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 (ext.)
 
[72]
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
 
[71]
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 (ext.)
 
[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: 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
 
[67]
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
 
[66]
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 (ext.)
 
[65]
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 (ext.)
 
[64]
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
 
[63]
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 (ext.)
 
[62]
2012 | Conference Paper | IST-REx-ID: 3124
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, in:, ICML, 2012.
View | Files available
 
[61]
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
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125
Augmented attribute representations
V. Sharmanska, N. Quadrianto, C. Lampert, in:, Springer, 2012, pp. 242–255.
View | DOI
 
[59]
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
 
[58]
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
 
[57]
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
 
[56]
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
 
[55]
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 (ext.)
 
[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 | Conference Paper | IST-REx-ID: 3319
Learning multi-view neighborhood preserving projections
N. Quadrianto, C. Lampert, in:, Omnipress, 2011, pp. 425–432.
View
 
[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 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
 
[50]
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
 
[49]
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
 
[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 | Journal Article | IST-REx-ID: 3320
Structured learning and prediction in computer vision
S. Nowozin, C. Lampert, Foundations and Trends in Computer Graphics and Vision 6 (2011) 185–365.
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 | 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
 
[44]
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
 
[43]
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
 
[42]
2010 | Conference Paper | IST-REx-ID: 3794 View | DOI | Download (ext.)
 
[41]
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
 
[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: 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.)
 
[38]
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
 
[37]
2010 | Conference Paper | IST-REx-ID: 3793
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 | DOI
 
[36]
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.)
 
[35]
2009 | Book | IST-REx-ID: 3707
Kernel methods in computer vision
C. Lampert, Kernel Methods in Computer Vision, now, 2009.
View | DOI
 
[34]
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
 
[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: 3708
Global connectivity potentials for random field models
S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 818–825.
View | DOI
 
[31]
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.)
 
[30]
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
 
[29]
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
 
[28]
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
 
[27]
2009 | Conference Paper | IST-REx-ID: 3709 View | DOI
 
[26]
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.)
 
[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: 3698
Semi-supervised Laplacian regularization of kernel canonical correlation analysis
M. Blaschko, C. Lampert, A. Gretton, in:, Springer, 2008, pp. 133–145.
View | DOI
 
[23]
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.)
 
[22]
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.)
 
[21]
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.)
 
[20]
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.)
 
[19]
2008 | Conference Paper | IST-REx-ID: 3700 View | DOI | Download (ext.)
 
[18]
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.)
 
[17]
2008 | Conference Paper | IST-REx-ID: 3712
Correlational spectral clustering
M. Blaschko, C. Lampert, in:, IEEE, 2008, pp. 1–8.
View | DOI
 
[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 | 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
 
[14]
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.)
 
[13]
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.)
 
[12]
2006 | Conference Paper | IST-REx-ID: 3693
Anisotropic Gaussian filtering using fixed point arithmetic
C. Lampert, O. Wirjadi, in:, IEEE, 2006, pp. 1565–1568.
View | DOI
 
[11]
2006 | Conference Paper | IST-REx-ID: 3683 View | Download (ext.)
 
[10]
2006 | Journal Article | IST-REx-ID: 3695   OA
An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter
C. Lampert, O. Wirjadi, IEEE Transactions on Image Processing (TIP) 15 (2006) 3501–3513.
View | DOI | Download (ext.)
 
[9]
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.)
 
[8]
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.)
 
[7]
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
 
[6]
2006 | Conference Paper | IST-REx-ID: 3692
Color image dequantization by constrained diffusion
D. Keysers, C. Lampert, T. Breuel, in:, SPIE, 2006.
View | DOI
 
[5]
2005 | Conference Paper | IST-REx-ID: 3684
Oblivious document capture and real-time retrieval
C. Lampert, T. Braun, A. Ulges, D. Keysers, T. Breuel, in:, CBDAR, 2005, pp. 79–86.
View | Download (ext.)
 
[4]
2005 | Conference Paper | IST-REx-ID: 3689
Document image dewarping using robust estimation of curled text lines
A. Ulges, C. Lampert, T. Breuel, in:, IEEE, 2005, pp. 1001–1005.
View | DOI | Download (ext.)
 
[3]
2005 | Journal Article | IST-REx-ID: 3691
Boundary regularity of admissible operators
C. Lampert, Publicacions Matemàtiques 49 (2005) 179–195.
View | DOI
 
[2]
2004 | Conference Paper | IST-REx-ID: 3688
Document capture using stereo vision
A. Ulges, C. Lampert, T. Breuel, in:, ACM, 2004, pp. 198–200.
View | DOI | Download (ext.)
 
[1]
2003 | Thesis | IST-REx-ID: 3678
The Neumann operator in strictly pseudoconvex domains with weighted Bergman metric
C. Lampert, The Neumann Operator in Strictly Pseudoconvex Domains with Weighted Bergman Metric , Universität Bonn, Fachbibliothek Mathematik, 2003.
View | Download (ext.)
 

Search

Filter Publications

Display / Sort

Citation Style: Default

Export / Embed

99 Publications

Mark all

[99]
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
 
[98]
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 (ext.) | arXiv
 
[97]
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 (ext.) | arXiv
 
[96]
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
 
[95]
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, n.d.
View | Download (ext.) | arXiv
 
[94]
2019 | Conference Paper | IST-REx-ID: 6482
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 (ext.) | arXiv
 
[93]
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 (2019).
View | Files available | DOI
 
[92]
2018 | Journal Article | IST-REx-ID: 321
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 | DOI
 
[91]
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 (ext.) | arXiv
 
[90]
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 (ext.) | arXiv
 
[89]
2017 | Conference Paper | IST-REx-ID: 911   OA
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, n.d.
View | Download (ext.)
 
[88]
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 (ext.)
 
[87]
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 (ext.) | arXiv
 
[86]
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 (ext.)
 
[85]
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 (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 (ext.)
 
[83]
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
 
[82]
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 (ext.)
 
[81]
2016 | Conference Paper | IST-REx-ID: 1707 View | DOI
 
[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 (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 (ext.)
 
[78]
2015 | Conference Paper | IST-REx-ID: 1858   OA View | DOI | Download (ext.) | arXiv
 
[77]
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 (ext.)
 
[76]
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 (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 (ext.)
 
[74]
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 (ext.)
 
[73]
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 (ext.)
 
[72]
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
 
[71]
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 (ext.)
 
[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: 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
 
[67]
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
 
[66]
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 (ext.)
 
[65]
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 (ext.)
 
[64]
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
 
[63]
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 (ext.)
 
[62]
2012 | Conference Paper | IST-REx-ID: 3124
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, in:, ICML, 2012.
View | Files available
 
[61]
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
 
[60]
2012 | Conference Paper | IST-REx-ID: 3125
Augmented attribute representations
V. Sharmanska, N. Quadrianto, C. Lampert, in:, Springer, 2012, pp. 242–255.
View | DOI
 
[59]
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
 
[58]
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
 
[57]
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
 
[56]
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
 
[55]
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 (ext.)
 
[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 | Conference Paper | IST-REx-ID: 3319
Learning multi-view neighborhood preserving projections
N. Quadrianto, C. Lampert, in:, Omnipress, 2011, pp. 425–432.
View
 
[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 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
 
[50]
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
 
[49]
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
 
[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 | Journal Article | IST-REx-ID: 3320
Structured learning and prediction in computer vision
S. Nowozin, C. Lampert, Foundations and Trends in Computer Graphics and Vision 6 (2011) 185–365.
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 | 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
 
[44]
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
 
[43]
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
 
[42]
2010 | Conference Paper | IST-REx-ID: 3794 View | DOI | Download (ext.)
 
[41]
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
 
[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: 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.)
 
[38]
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
 
[37]
2010 | Conference Paper | IST-REx-ID: 3793
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 | DOI
 
[36]
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.)
 
[35]
2009 | Book | IST-REx-ID: 3707
Kernel methods in computer vision
C. Lampert, Kernel Methods in Computer Vision, now, 2009.
View | DOI
 
[34]
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
 
[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: 3708
Global connectivity potentials for random field models
S. Nowozin, C. Lampert, in:, IEEE, 2009, pp. 818–825.
View | DOI
 
[31]
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.)
 
[30]
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
 
[29]
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
 
[28]
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
 
[27]
2009 | Conference Paper | IST-REx-ID: 3709 View | DOI
 
[26]
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.)
 
[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: 3698
Semi-supervised Laplacian regularization of kernel canonical correlation analysis
M. Blaschko, C. Lampert, A. Gretton, in:, Springer, 2008, pp. 133–145.
View | DOI
 
[23]
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.)
 
[22]
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.)
 
[21]
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.)
 
[20]
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.)
 
[19]
2008 | Conference Paper | IST-REx-ID: 3700 View | DOI | Download (ext.)
 
[18]
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.)
 
[17]
2008 | Conference Paper | IST-REx-ID: 3712
Correlational spectral clustering
M. Blaschko, C. Lampert, in:, IEEE, 2008, pp. 1–8.
View | DOI
 
[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 | 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
 
[14]
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.)
 
[13]
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.)
 
[12]
2006 | Conference Paper | IST-REx-ID: 3693
Anisotropic Gaussian filtering using fixed point arithmetic
C. Lampert, O. Wirjadi, in:, IEEE, 2006, pp. 1565–1568.
View | DOI
 
[11]
2006 | Conference Paper | IST-REx-ID: 3683 View | Download (ext.)
 
[10]
2006 | Journal Article | IST-REx-ID: 3695   OA
An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter
C. Lampert, O. Wirjadi, IEEE Transactions on Image Processing (TIP) 15 (2006) 3501–3513.
View | DOI | Download (ext.)
 
[9]
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.)
 
[8]
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.)
 
[7]
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
 
[6]
2006 | Conference Paper | IST-REx-ID: 3692
Color image dequantization by constrained diffusion
D. Keysers, C. Lampert, T. Breuel, in:, SPIE, 2006.
View | DOI
 
[5]
2005 | Conference Paper | IST-REx-ID: 3684
Oblivious document capture and real-time retrieval
C. Lampert, T. Braun, A. Ulges, D. Keysers, T. Breuel, in:, CBDAR, 2005, pp. 79–86.
View | Download (ext.)
 
[4]
2005 | Conference Paper | IST-REx-ID: 3689
Document image dewarping using robust estimation of curled text lines
A. Ulges, C. Lampert, T. Breuel, in:, IEEE, 2005, pp. 1001–1005.
View | DOI | Download (ext.)
 
[3]
2005 | Journal Article | IST-REx-ID: 3691
Boundary regularity of admissible operators
C. Lampert, Publicacions Matemàtiques 49 (2005) 179–195.
View | DOI
 
[2]
2004 | Conference Paper | IST-REx-ID: 3688
Document capture using stereo vision
A. Ulges, C. Lampert, T. Breuel, in:, ACM, 2004, pp. 198–200.
View | DOI | Download (ext.)
 
[1]
2003 | Thesis | IST-REx-ID: 3678
The Neumann operator in strictly pseudoconvex domains with weighted Bergman metric
C. Lampert, The Neumann Operator in Strictly Pseudoconvex Domains with Weighted Bergman Metric , Universität Bonn, Fachbibliothek Mathematik, 2003.
View | Download (ext.)
 

Search

Filter Publications

Display / Sort

Citation Style: Default

Export / Embed