Lifelong Learning of Visual Scene Understanding

Project Period: 2013-01-01 – 2018-12-31
Externally Funded
Acronym
L3ViSU
Principal Investigator
Christoph Lampert
Department(s)
Lampert Group
Grant Number
308036
Funding Organisation
FP7_ERC

25 Publications

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.
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2017 | Conference Paper | IST-REx-ID: 1108   OA
Learning theory for conditional risk minimization
A. Zimin, C. Lampert, in:, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–222.
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2015 | Conference Paper | IST-REx-ID: 1425   OA
Lifelong learning with non-i.i.d. tasks
A. Pentina, C. Lampert, in:, Neural Information Processing Systems, 2015, pp. 1540–1548.
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2019 | Conference Paper | IST-REx-ID: 6482   OA
KS(conf): A light-weight test if a ConvNet operates outside of Its specifications
R. Sun, C. Lampert, in:, Springer Nature, 2019, pp. 244–259.
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2018 | Thesis | IST-REx-ID: 197   OA
Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images
A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images, IST Austria, 2018.
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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.
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2015 | Conference Paper | IST-REx-ID: 1859   OA
A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle
N. Shah, V. Kolmogorov, C. Lampert, in:, IEEE, 2015, pp. 2737–2745.
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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.
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2017 | Conference Paper | IST-REx-ID: 999   OA
Multi-task learning with labeled and unlabeled tasks
A. Pentina, C. Lampert, in:, Omnipress, 2017, pp. 2807–2816.
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2016 | Thesis | IST-REx-ID: 1126   OA
Theoretical foundations of multi-task lifelong learning
A. Pentina, Theoretical Foundations of Multi-Task Lifelong Learning, IST Austria, 2016.
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2016 | Conference Paper | IST-REx-ID: 1369   OA
Seed, expand and constrain: Three principles for weakly-supervised image segmentation
A. Kolesnikov, C. Lampert, in:, Springer, 2016, pp. 695–711.
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2015 | Conference Paper | IST-REx-ID: 1706   OA
Multi-task and lifelong learning of kernels
A. Pentina, S. Ben David, in:, Springer, 2015, pp. 194–208.
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2014 | Conference Paper | IST-REx-ID: 2057   OA
Majority vote of diverse classifiers for late fusion
E. Morvant, A. Habrard, S. Ayache, in:, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 153–162.
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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.
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2014 | Journal Article | IST-REx-ID: 2165   OA
Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling
E. Morvant, Pattern Recognition Letters 51 (2014) 37–43.
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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.
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2017 | Conference Paper | IST-REx-ID: 1000   OA
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
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2016 | Conference Paper | IST-REx-ID: 1098   OA
Lifelong learning with weighted majority votes
A. Pentina, R. Urner, in:, Neural Information Processing Systems, 2016, pp. 3619–3627.
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2015 | Conference Paper | IST-REx-ID: 1860   OA
Classifier adaptation at prediction time
A. Royer, C. Lampert, in:, IEEE, 2015, pp. 1401–1409.
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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.
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2014 | Journal Article | IST-REx-ID: 2180   OA
Learning a priori constrained weighted majority votes
A. Bellet, A. Habrard, E. Morvant, M. Sebban, Machine Learning 97 (2014) 129–154.
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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.
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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.
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2018 | Thesis | IST-REx-ID: 68   OA
Learning from dependent data
A. Zimin, Learning from Dependent Data, IST Austria, 2018.
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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