Aurelien Lucchi
Aurelien Lucchi
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SLIC superpixels compared to state-of-the-art superpixel methods
R Achanta, A Shaji, K Smith, A Lucchi, P Fua, S Süsstrunk
IEEE transactions on pattern analysis and machine intelligence 34 (11), 2274 …, 2012
Slic superpixels
R Achanta, A Shaji, K Smith, A Lucchi, P Fua, S Süsstrunk
Stabilizing training of generative adversarial networks through regularization
K Roth, A Lucchi, S Nowozin, T Hofmann
arXiv preprint arXiv:1705.09367, 2017
Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features.
A Lucchi, K Smith, R Achanta, G Knott, P Fua
IEEE transactions on medical imaging, 2011
Learning aerial image segmentation from online maps
P Kaiser, JD Wegner, A Lucchi, M Jaggi, T Hofmann, K Schindler
IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6054-6068, 2017
Probabilistic bag-of-hyperlinks model for entity linking
OE Ganea, M Ganea, A Lucchi, C Eickhoff, T Hofmann
Proceedings of the 25th International Conference on World Wide Web, 927-938, 2016
A fully automated approach to segmentation of irregularly shaped cellular structures in EM images
A Lucchi, K Smith, R Achanta, V Lepetit, P Fua
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 463-471, 2010
Swisscheese at semeval-2016 task 4: Sentiment classification using an ensemble of convolutional neural networks with distant supervision
J Deriu, M Gonzenbach, F Uzdilli, A Lucchi, VD Luca, M Jaggi
Proceedings of the 10th international workshop on semantic evaluation, 1124-1128, 2016
Leveraging large amounts of weakly supervised data for multi-language sentiment classification
J Deriu, A Lucchi, V De Luca, A Severyn, S Müller, M Cieliebak, ...
Proceedings of the 26th international conference on world wide web, 1045-1052, 2017
Radio frequency interference mitigation using deep convolutional neural networks
J Akeret, C Chang, A Lucchi, A Refregier
Astronomy and computing 18, 35-39, 2017
Variance reduced stochastic gradient descent with neighbors
T Hofmann, A Lucchi, S Lacoste-Julien, B McWilliams
arXiv preprint arXiv:1506.03662, 2015
Sub-sampled cubic regularization for non-convex optimization
JM Kohler, A Lucchi
International Conference on Machine Learning, 1895-1904, 2017
Escaping saddles with stochastic gradients
H Daneshmand, J Kohler, A Lucchi, T Hofmann
International Conference on Machine Learning (ICML), 2018
Quantum generative adversarial networks for learning and loading random distributions
C Zoufal, A Lucchi, S Woerner
npj Quantum Information 5 (1), 1-9, 2019
Structured image segmentation using kernelized features
A Lucchi, Y Li, K Smith, P Fua
European conference on computer vision, 400-413, 2012
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
J Kohler, H Daneshmand, A Lucchi, M Zhou, K Neymeyr, T Hofmann
AISTATS 2018, 2018
Are Spatial and Global Constraints Really Necessary for Segmentation?
A Lucchi, Y Li, X Boix, K Smith, P Fua, ETH BIWI
IEEE International Conference on Computer Vision (ICCV), 2011
Local saddle point optimization: A curvature exploitation approach
L Adolphs, H Daneshmand, A Lucchi, T Hofmann
AISTATS 2018, 2018
Learning for structured prediction using approximate subgradient descent with working sets
A Lucchi, Y Li, P Fua
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
An online learning approach to generative adversarial networks
P Grnarova, KY Levy, A Lucchi, T Hofmann, A Krause
International Conference on Learning Representations (ICLR), 2017
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