Christoph Lampert

134 Publications

Mark all

[134]
2025 | Published | Conference Paper | IST-REx-ID: 20296 | OA
Logic gate neural networks are good for verification
F. Kresse, E. Yu, C. Lampert, T.A. Henzinger, in:, 2nd International Conferenceon Neuro-Symbolic Systems, ML Research Press, 2025.
[Published Version] View | Files available | arXiv
 
[133]
2025 | Published | Conference Paper | IST-REx-ID: 20455 | OA
Intriguing properties of robust classification
B. Prach, C. Lampert, in:, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, IEEE, 2025, pp. 660–669.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[132]
2024 | Published | Conference Paper | IST-REx-ID: 17411 | OA
PEFLL: Personalized federated learning by learning to learn
J.A. Scott, H. Zakerinia, C. Lampert, in:, 12th International Conference on Learning Representations, OpenReview, 2024.
[Published Version] View | Files available | arXiv
 
[131]
2024 | Published | Conference Paper | IST-REx-ID: 18118 | OA
More flexible PAC-Bayesian meta-learning by learning learning algorithms
H. Zakerinia, A. Behjati, C. Lampert, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 58122–58139.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[130]
2024 | Epub ahead of print | Journal Article | IST-REx-ID: 12662 | OA
Generalization in multi-objective machine learning
P. Súkeník, C. Lampert, Neural Computing and Applications (2024).
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[129]
2024 | Published | Preprint | IST-REx-ID: 19063 | OA
Can LLMs separate instructions from data? And what do we even mean by that?
E. Zverev, S. Abdelnabi, S. Tabesh, M. Fritz, C. Lampert, ArXiv (2024).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[128]
2024 | Published | Journal Article | IST-REx-ID: 19408 | OA
Continual learning: Applications and the road forward
E. Verwimp, R. Aljundi, S. Ben-David, M. Bethge, A. Cossu, A. Gepperth, T.L. Hayes, E. Hüllermeier, C. Kanan, D. Kudithipudi, C. Lampert, M. Mundt, R. Pascanu, A. Popescu, A.S. Tolias, J. Van De Weijer, B. Liu, V. Lomonaco, T. Tuytelaars, G.M. Van De Ven, Transactions on Machine Learning Research 2024 (2024).
[Published Version] View | Files available | arXiv
 
[127]
2024 | Published | Conference Paper | IST-REx-ID: 18875 | OA
Banded square root matrix factorization for differentially private model training
N. Kalinin, C. Lampert, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
[126]
2024 | Published | Conference Paper | IST-REx-ID: 18891 | OA
Neural collapse versus low-rank bias: Is deep neural collapse really optimal?
P. Súkeník, C. Lampert, M. Mondelli, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
[125]
2024 | Published | Journal Article | IST-REx-ID: 18856 | OA
Predicting the geolocation of tweets using transformer models on customized data
K. Lutsai, C. Lampert, Journal of Spatial Information Science (2024) 69–99.
[Published Version] View | Files available | DOI
 
[124]
2024 | Published | Conference Paper | IST-REx-ID: 17426 | OA
1-Lipschitz layers compared: Memory, speed, and certifiable robustness
B. Prach, F. Brau, G. Buttazzo, C. Lampert, in:, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Computer Vision Foundation, 2024, pp. 24574–24583.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[123]
2024 | Draft | Preprint | IST-REx-ID: 18874 | OA
Intriguing properties of robust classification
B. Prach, C. Lampert, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[122]
2023 | Published | Conference Paper | IST-REx-ID: 14410
On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift
P. Tomaszewska, C. Lampert, in:, International Workshop on Reproducible Research in Pattern Recognition, Springer Nature, 2023, pp. 67–73.
View | DOI
 
[121]
2023 | Published | Conference Paper | IST-REx-ID: 12660 | OA
Cross-client label propagation for transductive and semi-supervised federated learning
J.A. Scott, M.X. Yeo, C. Lampert, in:, Transactions in Machine Learning, Curran Associates, 2023.
[Preprint] View | Files available | arXiv
 
[120]
2023 | Published | Conference Paper | IST-REx-ID: 13053 | OA
CrAM: A Compression-Aware Minimizer
A. Krumes, A. Vladu, E. Kurtic, C. Lampert, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , OpenReview, 2023.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[119]
2023 | Published | Conference Paper | IST-REx-ID: 14921 | OA
Deep neural collapse is provably optimal for the deep unconstrained features model
P. Súkeník, M. Mondelli, C. Lampert, in:, 37th Annual Conference on Neural Information Processing Systems, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[118]
2023 | Draft | Preprint | IST-REx-ID: 15039 | OA
1-Lipschitz neural networks are more expressive with N-activations
B. Prach, C. Lampert, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[117]
2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
On the impossibility of fairness-aware learning from corrupted data
N.H. Konstantinov, C. Lampert, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 59–83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[116]
2022 | Published | Conference Paper | IST-REx-ID: 12161 | OA
Lightweight conditional model extrapolation for streaming data under class-prior shift
P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 2128–2134.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[115]
2022 | Published | Conference Paper | IST-REx-ID: 10752
Overcoming rare-language discrimination in multi-lingual sentiment analysis
J. Lampert, C. Lampert, in:, 2021 IEEE International Conference on Big Data, IEEE, 2022, pp. 5185–5192.
View | DOI | WoS
 
[114]
2022 | Published | Journal Article | IST-REx-ID: 10802 | OA
Fairness-aware PAC learning from corrupted data
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
[Published Version] View | Files available | arXiv
 
[113]
2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
FLEA: Provably robust fair multisource learning from unreliable training data
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[112]
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Almost-orthogonal layers for efficient general-purpose Lipschitz networks
B. Prach, C. Lampert, in:, Computer Vision – ECCV 2022, Springer Nature, 2022, pp. 350–365.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[111]
2021 | Published | Book Chapter | IST-REx-ID: 14987
Zero-Shot Learning
C. Lampert, in:, K. Ikeuchi (Ed.), Computer Vision, 2nd ed., Springer, Cham, 2021, pp. 1395–1397.
View | DOI
 
[110]
2021 | Draft | Preprint | IST-REx-ID: 10803 | OA
Fairness through regularization for learning to rank
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[109]
2021 | Published | Conference Paper | IST-REx-ID: 9416 | OA
The inductive bias of ReLU networks on orthogonally separable data
M. Phuong, C. Lampert, in:, 9th International Conference on Learning Representations, 2021.
[Published Version] View | Files available | Download Published Version (ext.)
 
[108]
2021 | Published | Conference Paper | IST-REx-ID: 9210 | OA
Does SGD implicitly optimize for smoothness?
V. Volhejn, C. Lampert, in:, 42nd German Conference on Pattern Recognition, Springer, 2021, pp. 246–259.
[Submitted Version] View | Files available | DOI | WoS
 
[107]
2020 | Published | 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, IEEE, 2020, pp. 7498–7507.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[106]
2020 | Submitted | 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.).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[105]
2020 | Published | 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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[104]
2020 | Published | 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 (2020) 970–995.
[Published Version] View | Files available | DOI | WoS
 
[103]
2020 | Published | Conference Paper | IST-REx-ID: 8188 | OA
Unsupervised object-centric video generation and decomposition in 3D
P.M. Henderson, C. Lampert, in:, 34th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2020, pp. 3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[102]
2020 | Published | Conference Paper | IST-REx-ID: 8724 | OA
On the sample complexity of adversarial multi-source PAC learning
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 5416–5425.
[Published Version] View | Files available | arXiv
 
[101]
2020 | Published | Conference Paper | IST-REx-ID: 7481 | OA
Functional vs. parametric equivalence of ReLU networks
M. Phuong, C. Lampert, in:, 8th International Conference on Learning Representations, 2020.
[Published Version] View | Files available
 
[100]
2020 | Published | 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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[99]
2019 | Published | Book (Editor) | IST-REx-ID: 7171
Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt
K. Kersting, C. Lampert, C. Rothkopf, eds., Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt, 1st ed., Springer Nature, Wiesbaden, 2019.
View | Files available | DOI
 
[98]
2019 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[97]
2019 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[96]
2019 | Published | 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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[95]
2019 | Published | 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, ML Research Press, 2019, pp. 3488–3498.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[94]
2019 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[93]
2019 | Published | Conference Paper | IST-REx-ID: 6569 | OA
Towards understanding knowledge distillation
M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151.
[Published Version] View | Files available
 
[92]
2019 | Published | Conference Paper | IST-REx-ID: 7479 | OA
Distillation-based training for multi-exit architectures
M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
[Submitted Version] View | Files available | DOI | WoS
 
[91]
2018 | Published | Conference Paper | IST-REx-ID: 10882 | OA
Learning intelligent dialogs for bounding box annotation
J. Uijlings, K. Konyushkova, C. Lampert, V. Ferrari, in:, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2018, pp. 9175–9184.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[90]
2018 | Published | 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.
[Published Version] View | Files available | DOI | WoS
 
[89]
2018 | Published | 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, ML Research Press, 2018, pp. 4442–4450.
[Preprint] View | Files available | Download Preprint (ext.) | WoS | arXiv
 
[88]
2018 | Published | 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, ML Research Press, 2018, pp. 2815–2824.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[87]
2017 | Published | 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
 
[86]
2017 | Published | 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.
[Published Version] View | Files available | DOI | arXiv
 
[85]
2017 | Published | Conference Paper | IST-REx-ID: 1000 | OA
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, 34th International Conference on Machine Learning, JMLR, 2017, pp. 1905–1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[84]
2017 | Published | Conference Paper | IST-REx-ID: 1108 | OA
Learning theory for conditional risk minimization
A. Zimin, C. Lampert, in:, ML Research Press, 2017, pp. 213–222.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[83]
2017 | Published | 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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[82]
2017 | Published | Conference Paper | IST-REx-ID: 999 | OA
Multi-task learning with labeled and unlabeled tasks
A. Pentina, C. Lampert, in:, ML Research Press, 2017, pp. 2807–2816.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[81]
2017 | Published | 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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[80]
2016 | Published | Conference Paper | IST-REx-ID: 1707
Optimal geospatial allocation of volunteers for crisis management
J. Pielorz, C. Lampert, in:, IEEE, 2016.
View | DOI
 
[79]
2016 | Published | 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.
[Published Version] View | DOI | Download Published Version (ext.)
 
[78]
2016 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[77]
2015 | Published | Conference Paper | IST-REx-ID: 1858 | OA
Predicting the future behavior of a time-varying probability distribution
C. Lampert, in:, IEEE, 2015, pp. 942–950.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[76]
2015 | Published | Conference Paper | IST-REx-ID: 1860 | OA
Classifier adaptation at prediction time
A. Royer, C. Lampert, in:, IEEE, 2015, pp. 1401–1409.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[75]
2015 | Published | Conference Paper | IST-REx-ID: 1425 | OA
Lifelong learning with non-i.i.d. tasks
A. Pentina, C. Lampert, in:, Neural Information Processing Systems Foundation, 2015, pp. 1540–1548.
View | Download None (ext.)
 
[74]
2015 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[73]
2015 | Published | Conference Paper | IST-REx-ID: 1857 | OA
Curriculum learning of multiple tasks
A. Pentina, V. Sharmanska, C. Lampert, in:, IEEE, 2015, pp. 5492–5500.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[72]
2014 | Published | 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
 
[71]
2014 | Published | Conference Paper | IST-REx-ID: 2160 | OA
A PAC-Bayesian bound for Lifelong Learning
A. Pentina, C. Lampert, in:, ML Research Press, 2014, pp. 991–999.
[Submitted Version] View | Download Submitted Version (ext.)
 
[70]
2014 | Published | 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.
[Published Version] View | Files available
 
[69]
2014 | Published | 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 Foundation, 2014, pp. 837–845.
[Submitted Version] View | Download Submitted Version (ext.)
 
[68]
2014 | Published | 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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | arXiv
 
[67]
2014 | Published | 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 | WoS
 
[66]
2013 | Published | 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.
[Submitted Version] View | Files available | DOI
 
[65]
2013 | Published | 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
 
[64]
2013 | Published | 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.)
 
[63]
2013 | Published | 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 | WoS
 
[62]
2013 | Published | 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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[61]
2013 | Published | 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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[60]
2012 | Published | 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 | Published | Conference Paper | IST-REx-ID: 3124 | OA
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, in:, ICML, 2012.
[Submitted Version] View | Files available
 
[58]
2012 | Published | Conference Paper | IST-REx-ID: 3125 | OA
Augmented attribute representations
V. Sharmanska, N. Quadrianto, C. Lampert, in:, Springer, 2012, pp. 242–255.
[Submitted Version] View | Files available | DOI
 
[57]
2012 | Published | 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 | Published | 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.
[Published Version] View | Files available | DOI
 
[55]
2012 | Published | Conference Paper | IST-REx-ID: 2825
Dynamic pruning of factor graphs for maximum marginal prediction
C. Lampert, in:, Neural Information Processing Systems Foundation, 2012, pp. 82–90.
View
 
[54]
2012 | Published | 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, ML Research Press, 2012, pp. 211–218.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[53]
2012 | Published | 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.
[Submitted Version] View | Files available | DOI | WoS
 
[52]
2012 | Published | 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 | WoS
 
[51]
2011 | Published | 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.
[Published Version] View | Files available | DOI
 
[50]
2011 | Published | Conference Paper | IST-REx-ID: 3319
Learning multi-view neighborhood preserving projections
N. Quadrianto, C. Lampert, in:, ML Research Press, 2011, pp. 425–432.
View
 
[49]
2011 | Published | 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.
[Published Version] View | Files available | DOI
 
[48]
2011 | Published | 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 | Published | Conference Paper | IST-REx-ID: 3163
Maximum margin multi-label structured prediction
C. Lampert, in:, Neural Information Processing Systems Foundation, 2011.
View | Files available
 
[46]
2011 | Published | Conference Poster | IST-REx-ID: 3322
Maximum margin multi label structured prediction
C. Lampert, Maximum Margin Multi Label Structured Prediction, Neural Information Processing Systems Foundation, 2011.
View | Files available
 
[45]
2011 | Published | 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]
2011 | Published | 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 | WoS
 
[43]
2011 | Published | 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 | WoS
 
[42]
2010 | Published | 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.)
 
[41]
2010 | Published | 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 | Published | 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
 
[39]
2010 | Published | 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
 
[38]
2010 | Published | 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.)
 
[37]
2010 | Published | 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
 
[36]
2010 | Published | 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.
[Submitted Version] View | Files available | DOI
 
[35]
2010 | Published | Conference Paper | IST-REx-ID: 3794
Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning
C. Lampert, O. Krömer, in:, 11th European Conference on Computer Vision, Springer, 2010, pp. 566–579.
View | DOI
 
[34]
2009 | Published | 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
 
[33]
2009 | Published | 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.)
 
[32]
2009 | Published | 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.)
 
[31]
2009 | Published | 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
 
[30]
2009 | Published | Book | IST-REx-ID: 3707
Kernel Methods in Computer Vision
C. Lampert, Kernel Methods in Computer Vision, now publishers, 2009.
View | DOI
 
[29]
2009 | Published | 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
 
[28]
2009 | Published | Conference Paper | IST-REx-ID: 3709
Detecting objects in large image collections and videos by efficient subimage retrieval
C. Lampert, in:, IEEE, 2009, pp. 987–994.
View | DOI
 
[27]
2009 | Published | 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.)
 
[26]
2009 | Published | 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 | Published | 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]
2009 | Published | Conference Paper | IST-REx-ID: 3711 | OA
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 None (ext.)
 
[23]
2008 | Published | 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.)
 
[22]
2008 | Published | 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
 
[21]
2008 | Published | Conference Paper | IST-REx-ID: 3700
Partitioning of image datasets using discriminative context information
C. Lampert, in:, IEEE, 2008, pp. 1–8.
View | DOI | Download (ext.)
 
[20]
2008 | Published | 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.)
 
[19]
2008 | Published | 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.)
 
[18]
2008 | Published | Conference Paper | IST-REx-ID: 3712
Correlational spectral clustering
M. Blaschko, C. Lampert, in:, IEEE, 2008, pp. 1–8.
View | DOI
 
[17]
2008 | Published | 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.)
 
[16]
2008 | Published | 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.)
 
[15]
2007 | Published | 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
 
[14]
2007 | Published | 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 | Published | 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 | Published | 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 | Published | 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 | Published | Conference Paper | IST-REx-ID: 3683
Objective quality measurement for geometric document image restoration
C. Lampert, T. Breuel, in:, Springer, 2006.
View | Download (ext.)
 
[9]
2006 | Published | Conference Paper | IST-REx-ID: 3685
Machine learning for video compression: Macroblock mode decision
C. Lampert, in:, IEEE, 2006, pp. 936–940.
View | DOI
 
[8]
2006 | Published | Conference Paper | IST-REx-ID: 3692
Color image dequantization by constrained diffusion
D. Keysers, C. Lampert, T. Breuel, in:, SPIE, 2006.
View | DOI
 
[7]
2006 | Published | 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
 
[6]
2006 | Published | 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.)
 
[5]
2005 | Published | 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 | Published | 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 | Published | Journal Article | IST-REx-ID: 3691
Boundary regularity of admissible operators
C. Lampert, Publicacions Matemàtiques 49 (2005) 179–195.
View | DOI
 
[2]
2004 | Published | 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 | Published | 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.)
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: Default

Export / Embed

1 Grants


Lifelong Learning of Visual Scene Understanding (L3ViSU)

2013-01-01 – 2018-12-31
European Research Council

134 Publications

Mark all

[134]
2025 | Published | Conference Paper | IST-REx-ID: 20296 | OA
Logic gate neural networks are good for verification
F. Kresse, E. Yu, C. Lampert, T.A. Henzinger, in:, 2nd International Conferenceon Neuro-Symbolic Systems, ML Research Press, 2025.
[Published Version] View | Files available | arXiv
 
[133]
2025 | Published | Conference Paper | IST-REx-ID: 20455 | OA
Intriguing properties of robust classification
B. Prach, C. Lampert, in:, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, IEEE, 2025, pp. 660–669.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[132]
2024 | Published | Conference Paper | IST-REx-ID: 17411 | OA
PEFLL: Personalized federated learning by learning to learn
J.A. Scott, H. Zakerinia, C. Lampert, in:, 12th International Conference on Learning Representations, OpenReview, 2024.
[Published Version] View | Files available | arXiv
 
[131]
2024 | Published | Conference Paper | IST-REx-ID: 18118 | OA
More flexible PAC-Bayesian meta-learning by learning learning algorithms
H. Zakerinia, A. Behjati, C. Lampert, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 58122–58139.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[130]
2024 | Epub ahead of print | Journal Article | IST-REx-ID: 12662 | OA
Generalization in multi-objective machine learning
P. Súkeník, C. Lampert, Neural Computing and Applications (2024).
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
[129]
2024 | Published | Preprint | IST-REx-ID: 19063 | OA
Can LLMs separate instructions from data? And what do we even mean by that?
E. Zverev, S. Abdelnabi, S. Tabesh, M. Fritz, C. Lampert, ArXiv (2024).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[128]
2024 | Published | Journal Article | IST-REx-ID: 19408 | OA
Continual learning: Applications and the road forward
E. Verwimp, R. Aljundi, S. Ben-David, M. Bethge, A. Cossu, A. Gepperth, T.L. Hayes, E. Hüllermeier, C. Kanan, D. Kudithipudi, C. Lampert, M. Mundt, R. Pascanu, A. Popescu, A.S. Tolias, J. Van De Weijer, B. Liu, V. Lomonaco, T. Tuytelaars, G.M. Van De Ven, Transactions on Machine Learning Research 2024 (2024).
[Published Version] View | Files available | arXiv
 
[127]
2024 | Published | Conference Paper | IST-REx-ID: 18875 | OA
Banded square root matrix factorization for differentially private model training
N. Kalinin, C. Lampert, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
[126]
2024 | Published | Conference Paper | IST-REx-ID: 18891 | OA
Neural collapse versus low-rank bias: Is deep neural collapse really optimal?
P. Súkeník, C. Lampert, M. Mondelli, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
[125]
2024 | Published | Journal Article | IST-REx-ID: 18856 | OA
Predicting the geolocation of tweets using transformer models on customized data
K. Lutsai, C. Lampert, Journal of Spatial Information Science (2024) 69–99.
[Published Version] View | Files available | DOI
 
[124]
2024 | Published | Conference Paper | IST-REx-ID: 17426 | OA
1-Lipschitz layers compared: Memory, speed, and certifiable robustness
B. Prach, F. Brau, G. Buttazzo, C. Lampert, in:, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Computer Vision Foundation, 2024, pp. 24574–24583.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[123]
2024 | Draft | Preprint | IST-REx-ID: 18874 | OA
Intriguing properties of robust classification
B. Prach, C. Lampert, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[122]
2023 | Published | Conference Paper | IST-REx-ID: 14410
On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift
P. Tomaszewska, C. Lampert, in:, International Workshop on Reproducible Research in Pattern Recognition, Springer Nature, 2023, pp. 67–73.
View | DOI
 
[121]
2023 | Published | Conference Paper | IST-REx-ID: 12660 | OA
Cross-client label propagation for transductive and semi-supervised federated learning
J.A. Scott, M.X. Yeo, C. Lampert, in:, Transactions in Machine Learning, Curran Associates, 2023.
[Preprint] View | Files available | arXiv
 
[120]
2023 | Published | Conference Paper | IST-REx-ID: 13053 | OA
CrAM: A Compression-Aware Minimizer
A. Krumes, A. Vladu, E. Kurtic, C. Lampert, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , OpenReview, 2023.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[119]
2023 | Published | Conference Paper | IST-REx-ID: 14921 | OA
Deep neural collapse is provably optimal for the deep unconstrained features model
P. Súkeník, M. Mondelli, C. Lampert, in:, 37th Annual Conference on Neural Information Processing Systems, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[118]
2023 | Draft | Preprint | IST-REx-ID: 15039 | OA
1-Lipschitz neural networks are more expressive with N-activations
B. Prach, C. Lampert, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[117]
2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
On the impossibility of fairness-aware learning from corrupted data
N.H. Konstantinov, C. Lampert, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 59–83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[116]
2022 | Published | Conference Paper | IST-REx-ID: 12161 | OA
Lightweight conditional model extrapolation for streaming data under class-prior shift
P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 2128–2134.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[115]
2022 | Published | Conference Paper | IST-REx-ID: 10752
Overcoming rare-language discrimination in multi-lingual sentiment analysis
J. Lampert, C. Lampert, in:, 2021 IEEE International Conference on Big Data, IEEE, 2022, pp. 5185–5192.
View | DOI | WoS
 
[114]
2022 | Published | Journal Article | IST-REx-ID: 10802 | OA
Fairness-aware PAC learning from corrupted data
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
[Published Version] View | Files available | arXiv
 
[113]
2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
FLEA: Provably robust fair multisource learning from unreliable training data
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[112]
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Almost-orthogonal layers for efficient general-purpose Lipschitz networks
B. Prach, C. Lampert, in:, Computer Vision – ECCV 2022, Springer Nature, 2022, pp. 350–365.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[111]
2021 | Published | Book Chapter | IST-REx-ID: 14987
Zero-Shot Learning
C. Lampert, in:, K. Ikeuchi (Ed.), Computer Vision, 2nd ed., Springer, Cham, 2021, pp. 1395–1397.
View | DOI
 
[110]
2021 | Draft | Preprint | IST-REx-ID: 10803 | OA
Fairness through regularization for learning to rank
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[109]
2021 | Published | Conference Paper | IST-REx-ID: 9416 | OA
The inductive bias of ReLU networks on orthogonally separable data
M. Phuong, C. Lampert, in:, 9th International Conference on Learning Representations, 2021.
[Published Version] View | Files available | Download Published Version (ext.)
 
[108]
2021 | Published | Conference Paper | IST-REx-ID: 9210 | OA
Does SGD implicitly optimize for smoothness?
V. Volhejn, C. Lampert, in:, 42nd German Conference on Pattern Recognition, Springer, 2021, pp. 246–259.
[Submitted Version] View | Files available | DOI | WoS
 
[107]
2020 | Published | 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, IEEE, 2020, pp. 7498–7507.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
[106]
2020 | Submitted | 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.).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[105]
2020 | Published | 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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[104]
2020 | Published | 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 (2020) 970–995.
[Published Version] View | Files available | DOI | WoS
 
[103]
2020 | Published | Conference Paper | IST-REx-ID: 8188 | OA
Unsupervised object-centric video generation and decomposition in 3D
P.M. Henderson, C. Lampert, in:, 34th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2020, pp. 3106–3117.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[102]
2020 | Published | Conference Paper | IST-REx-ID: 8724 | OA
On the sample complexity of adversarial multi-source PAC learning
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 5416–5425.
[Published Version] View | Files available | arXiv
 
[101]
2020 | Published | Conference Paper | IST-REx-ID: 7481 | OA
Functional vs. parametric equivalence of ReLU networks
M. Phuong, C. Lampert, in:, 8th International Conference on Learning Representations, 2020.
[Published Version] View | Files available
 
[100]
2020 | Published | 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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[99]
2019 | Published | Book (Editor) | IST-REx-ID: 7171
Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt
K. Kersting, C. Lampert, C. Rothkopf, eds., Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt, 1st ed., Springer Nature, Wiesbaden, 2019.
View | Files available | DOI
 
[98]
2019 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[97]
2019 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[96]
2019 | Published | 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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[95]
2019 | Published | 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, ML Research Press, 2019, pp. 3488–3498.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[94]
2019 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[93]
2019 | Published | Conference Paper | IST-REx-ID: 6569 | OA
Towards understanding knowledge distillation
M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151.
[Published Version] View | Files available
 
[92]
2019 | Published | Conference Paper | IST-REx-ID: 7479 | OA
Distillation-based training for multi-exit architectures
M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
[Submitted Version] View | Files available | DOI | WoS
 
[91]
2018 | Published | Conference Paper | IST-REx-ID: 10882 | OA
Learning intelligent dialogs for bounding box annotation
J. Uijlings, K. Konyushkova, C. Lampert, V. Ferrari, in:, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2018, pp. 9175–9184.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[90]
2018 | Published | 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.
[Published Version] View | Files available | DOI | WoS
 
[89]
2018 | Published | 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, ML Research Press, 2018, pp. 4442–4450.
[Preprint] View | Files available | Download Preprint (ext.) | WoS | arXiv
 
[88]
2018 | Published | 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, ML Research Press, 2018, pp. 2815–2824.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[87]
2017 | Published | 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
 
[86]
2017 | Published | 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.
[Published Version] View | Files available | DOI | arXiv
 
[85]
2017 | Published | Conference Paper | IST-REx-ID: 1000 | OA
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, 34th International Conference on Machine Learning, JMLR, 2017, pp. 1905–1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[84]
2017 | Published | Conference Paper | IST-REx-ID: 1108 | OA
Learning theory for conditional risk minimization
A. Zimin, C. Lampert, in:, ML Research Press, 2017, pp. 213–222.
[Submitted Version] View | Download Submitted Version (ext.) | WoS
 
[83]
2017 | Published | 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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[82]
2017 | Published | Conference Paper | IST-REx-ID: 999 | OA
Multi-task learning with labeled and unlabeled tasks
A. Pentina, C. Lampert, in:, ML Research Press, 2017, pp. 2807–2816.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[81]
2017 | Published | 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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[80]
2016 | Published | Conference Paper | IST-REx-ID: 1707
Optimal geospatial allocation of volunteers for crisis management
J. Pielorz, C. Lampert, in:, IEEE, 2016.
View | DOI
 
[79]
2016 | Published | 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.
[Published Version] View | DOI | Download Published Version (ext.)
 
[78]
2016 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[77]
2015 | Published | Conference Paper | IST-REx-ID: 1858 | OA
Predicting the future behavior of a time-varying probability distribution
C. Lampert, in:, IEEE, 2015, pp. 942–950.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[76]
2015 | Published | Conference Paper | IST-REx-ID: 1860 | OA
Classifier adaptation at prediction time
A. Royer, C. Lampert, in:, IEEE, 2015, pp. 1401–1409.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[75]
2015 | Published | Conference Paper | IST-REx-ID: 1425 | OA
Lifelong learning with non-i.i.d. tasks
A. Pentina, C. Lampert, in:, Neural Information Processing Systems Foundation, 2015, pp. 1540–1548.
View | Download None (ext.)
 
[74]
2015 | Published | 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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[73]
2015 | Published | Conference Paper | IST-REx-ID: 1857 | OA
Curriculum learning of multiple tasks
A. Pentina, V. Sharmanska, C. Lampert, in:, IEEE, 2015, pp. 5492–5500.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[72]
2014 | Published | 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
 
[71]
2014 | Published | Conference Paper | IST-REx-ID: 2160 | OA
A PAC-Bayesian bound for Lifelong Learning
A. Pentina, C. Lampert, in:, ML Research Press, 2014, pp. 991–999.
[Submitted Version] View | Download Submitted Version (ext.)
 
[70]
2014 | Published | 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.
[Published Version] View | Files available
 
[69]
2014 | Published | 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 Foundation, 2014, pp. 837–845.
[Submitted Version] View | Download Submitted Version (ext.)
 
[68]
2014 | Published | 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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | arXiv
 
[67]
2014 | Published | 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 | WoS
 
[66]
2013 | Published | 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.
[Submitted Version] View | Files available | DOI
 
[65]
2013 | Published | 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
 
[64]
2013 | Published | 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.)
 
[63]
2013 | Published | 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 | WoS
 
[62]
2013 | Published | 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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[61]
2013 | Published | 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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[60]
2012 | Published | 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 | Published | Conference Paper | IST-REx-ID: 3124 | OA
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, in:, ICML, 2012.
[Submitted Version] View | Files available
 
[58]
2012 | Published | Conference Paper | IST-REx-ID: 3125 | OA
Augmented attribute representations
V. Sharmanska, N. Quadrianto, C. Lampert, in:, Springer, 2012, pp. 242–255.
[Submitted Version] View | Files available | DOI
 
[57]
2012 | Published | 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 | Published | 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.
[Published Version] View | Files available | DOI
 
[55]
2012 | Published | Conference Paper | IST-REx-ID: 2825
Dynamic pruning of factor graphs for maximum marginal prediction
C. Lampert, in:, Neural Information Processing Systems Foundation, 2012, pp. 82–90.
View
 
[54]
2012 | Published | 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, ML Research Press, 2012, pp. 211–218.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[53]
2012 | Published | 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.
[Submitted Version] View | Files available | DOI | WoS
 
[52]
2012 | Published | 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 | WoS
 
[51]
2011 | Published | 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.
[Published Version] View | Files available | DOI
 
[50]
2011 | Published | Conference Paper | IST-REx-ID: 3319
Learning multi-view neighborhood preserving projections
N. Quadrianto, C. Lampert, in:, ML Research Press, 2011, pp. 425–432.
View
 
[49]
2011 | Published | 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.
[Published Version] View | Files available | DOI
 
[48]
2011 | Published | 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 | Published | Conference Paper | IST-REx-ID: 3163
Maximum margin multi-label structured prediction
C. Lampert, in:, Neural Information Processing Systems Foundation, 2011.
View | Files available
 
[46]
2011 | Published | Conference Poster | IST-REx-ID: 3322
Maximum margin multi label structured prediction
C. Lampert, Maximum Margin Multi Label Structured Prediction, Neural Information Processing Systems Foundation, 2011.
View | Files available
 
[45]
2011 | Published | 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]
2011 | Published | 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 | WoS
 
[43]
2011 | Published | 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 | WoS
 
[42]
2010 | Published | 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.)
 
[41]
2010 | Published | 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 | Published | 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
 
[39]
2010 | Published | 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
 
[38]
2010 | Published | 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.)
 
[37]
2010 | Published | 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
 
[36]
2010 | Published | 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.
[Submitted Version] View | Files available | DOI
 
[35]
2010 | Published | Conference Paper | IST-REx-ID: 3794
Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning
C. Lampert, O. Krömer, in:, 11th European Conference on Computer Vision, Springer, 2010, pp. 566–579.
View | DOI
 
[34]
2009 | Published | 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
 
[33]
2009 | Published | 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.)
 
[32]
2009 | Published | 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.)
 
[31]
2009 | Published | 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
 
[30]
2009 | Published | Book | IST-REx-ID: 3707
Kernel Methods in Computer Vision
C. Lampert, Kernel Methods in Computer Vision, now publishers, 2009.
View | DOI
 
[29]
2009 | Published | 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
 
[28]
2009 | Published | Conference Paper | IST-REx-ID: 3709
Detecting objects in large image collections and videos by efficient subimage retrieval
C. Lampert, in:, IEEE, 2009, pp. 987–994.
View | DOI
 
[27]
2009 | Published | 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.)
 
[26]
2009 | Published | 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 | Published | 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]
2009 | Published | Conference Paper | IST-REx-ID: 3711 | OA
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 None (ext.)
 
[23]
2008 | Published | 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.)
 
[22]
2008 | Published | 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
 
[21]
2008 | Published | Conference Paper | IST-REx-ID: 3700
Partitioning of image datasets using discriminative context information
C. Lampert, in:, IEEE, 2008, pp. 1–8.
View | DOI | Download (ext.)
 
[20]
2008 | Published | 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.)
 
[19]
2008 | Published | 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.)
 
[18]
2008 | Published | Conference Paper | IST-REx-ID: 3712
Correlational spectral clustering
M. Blaschko, C. Lampert, in:, IEEE, 2008, pp. 1–8.
View | DOI
 
[17]
2008 | Published | 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.)
 
[16]
2008 | Published | 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.)
 
[15]
2007 | Published | 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
 
[14]
2007 | Published | 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 | Published | 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 | Published | 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 | Published | 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 | Published | Conference Paper | IST-REx-ID: 3683
Objective quality measurement for geometric document image restoration
C. Lampert, T. Breuel, in:, Springer, 2006.
View | Download (ext.)
 
[9]
2006 | Published | Conference Paper | IST-REx-ID: 3685
Machine learning for video compression: Macroblock mode decision
C. Lampert, in:, IEEE, 2006, pp. 936–940.
View | DOI
 
[8]
2006 | Published | Conference Paper | IST-REx-ID: 3692
Color image dequantization by constrained diffusion
D. Keysers, C. Lampert, T. Breuel, in:, SPIE, 2006.
View | DOI
 
[7]
2006 | Published | 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
 
[6]
2006 | Published | 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.)
 
[5]
2005 | Published | 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 | Published | 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 | Published | Journal Article | IST-REx-ID: 3691
Boundary regularity of admissible operators
C. Lampert, Publicacions Matemàtiques 49 (2005) 179–195.
View | DOI
 
[2]
2004 | Published | 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 | Published | 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.)
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: Default

Export / Embed