@conference {Mackowiak2019,
	title = {CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation},
	booktitle = {British Machine Vision Conference 2018, BMVC 2018},
	year = {2019},
	abstract = {State of the art methods for semantic image segmentation are trained in a supervised fashion using a large corpus of fully labeled training images. However, gathering such a corpus is expensive, due to human annotation effort, in contrast to gathering unlabeled data. We propose an active learning-based strategy, called CEREALS, in which a human only has to hand-label a few, automatically selected, regions within an unlabeled image corpus. This minimizes human annotation effort while maximizing the performance of a semantic image segmentation method. The automatic selection procedure is achieved by: a) using a suitable information measure combined with an estimate about human annotation effort, which is inferred from a learned cost model, and b) exploiting the spatial coherency of an image. The performance of CEREALS is demonstrated on Cityscapes, where we are able to reduce the annotation effort to 17\%, while keeping 95\% of the mean Intersection over Union (mIoU) of a model that was trained with the fully annotated training set of Cityscapes.},
	author = {Mackowiak, Radek and Lenz, Philip and Ghori, Omair and Ferran Diego and Lange, Oliver and Carsten Rother}
}
@conference {6250,
	title = {Learning to Forecast Pedestrian Intention from Pose Dynamics},
	booktitle = {Intelligent Vehicles, IEEE, 2018},
	year = {2018},
	author = {Omar Ghori and Radek Mackowiak and Miguel Bautista and Niklas Beuter and Lucas Drumond and Ferran Diego and Bj{\"o}rn Ommer}
}
@proceedings {6204,
	title = {Cost-efficient Gradient Boosting},
	year = {2017},
	author = {Peter, S. and Ferran Diego and Fred A. Hamprecht and Nadler, B}
}
@proceedings {6205,
	title = {Sparse convolutional coding for neuronal assembly detection},
	year = {2017},
	author = {Peter, S. and Kirschbaum, E. and M. Both and Campbell, L. A. and Harvey, B. K. and Heins, C. and Durstewitz, D. and Ferran Diego and Fred A. Hamprecht}
}
@proceedings {6081,
	title = {Learning Diverse Models: The Coulomb Structured Support Vector Machine},
	volume = {LNCS 9907},
	year = {2016},
	pages = {585-599},
	publisher = {Springer},
	doi = { 10.1007/978-3-319-46487-9_36},
	author = {Schiegg, M. and Ferran Diego and Fred A. Hamprecht}
}
@proceedings {6063,
	title = {Structured Regression Gradient Boosting},
	year = {2016},
	pages = {1459-1467},
	doi = { 10.1109/CVPR.2016.162},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@proceedings {6079,
	title = {Variational weakly-supervised Gaussian processes},
	year = {2016},
	author = {Kandemir, M and Manuel Hau{\ss}mann and Ferran Diego and Rajamani, K and van der Laak, J and Fred A. Hamprecht}
}
@conference {diego_14_sparse,
	title = {Sparse Space-Time Deconvolution for Calcium Image Analysis},
	booktitle = {NIPS. Proceedings},
	year = {2014},
	note = {1},
	pages = {64-72},
	url = {http://papers.nips.cc/paper/5342-sparse-space-time-deconvolution-for-calcium-image-analysis},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@conference {fiaschi_14_tracking,
	title = {Tracking indistinguishable translucent objects over time using weakly supervised structured learning},
	booktitle = {CVPR. Proceedings},
	year = {2014},
	note = {1},
	pages = {2736 - 2743},
	doi = {10.1109/CVPR.2014.356},
	author = {Fiaschi, L. and Ferran Diego and Karl-Heinz Grosser and Schiegg, M. and Ullrich K{\"o}the and Zlatic, M. and Fred A. Hamprecht}
}
@article {diego_13_automated,
	title = {Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning},
	journal = {ISBI 2013. Proceedings},
	number = {0236},
	year = {2013},
	note = {1},
	pages = {1058-1061},
	doi = {10.1109/ISBI.2013.6556660},
	author = {Ferran Diego and Reichinnek, S. and M. Both and Fred A. Hamprecht}
}
@conference {diego_13_learning2,
	title = {Learning Multi-Level Sparse Representation},
	booktitle = {NIPS. Proceedings},
	year = {2013},
	note = {1},
	url = {http://papers.nips.cc/paper/5076-learning-multi-level-sparse-representations},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@conference {diego_13_learning,
	title = {Learning Multi-Level Sparse Representation for Identifying Neuronal Activity},
	booktitle = {Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of Abstracts.},
	year = {2013},
	note = {1},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@article {diego_12_joint,
	title = {Joint SpatioTemporal Alignment of Sequences},
	journal = {IEEE Transactions on Multimedia (TMM)},
	volume = {PP (99)},
	year = {2012},
	note = {1},
	pages = {1},
	doi = {10.1109/TMM.2013.2247390},
	author = {Ferran Diego and Serrat, J. and López, A. M.}
}
@article {alvarez_12_road,
	title = {Road Geometry Classification by Adaptive Shape Models},
	journal = {IEEE Transactions on Intelligent Transportation Systems (ITS)},
	volume = {99},
	year = {2012},
	pages = {1-10},
	doi = {10.1109/TITS.2012.2221088},
	author = {Álvarez, J. M. and Gevers, T. and Ferran Diego and López, A. M.}
}
