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Bart M. Ter Haar Romeny; W. Niessen; J. Weickert; P. Van Roermund; W. Van Enk; Antonio Lopez; R. Maas |
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Orientation detection of trabecular bone |
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Miscellaneous |
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1996 |
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Biophysics and Molecular Biology, International Biophysics Congress. Volume 65, pgs. P–H5–43 |
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ADAS @ adas @ HNW1996 |
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489 |
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Daniel Hernandez; Lukas Schneider; Antonio Espinosa; David Vazquez; Antonio Lopez; Uwe Franke; Marc Pollefeys; Juan C. Moure |
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Title |
Slanted Stixels: Representing San Francisco's Steepest Streets} |
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2017 |
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28th British Machine Vision Conference |
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In this work we present a novel compact scene representation based on Stixels that infers geometric and semantic information. Our approach overcomes the previous rather restrictive geometric assumptions for Stixels by introducing a novel depth model to account for non-flat roads and slanted objects. Both semantic and depth cues are used jointly to infer the scene representation in a sound global energy minimization formulation. Furthermore, a novel approximation scheme is introduced that uses an extremely efficient over-segmentation. In doing so, the computational complexity of the Stixel inference algorithm is reduced significantly, achieving real-time computation capabilities with only a slight drop in accuracy. We evaluate the proposed approach in terms of semantic and geometric accuracy as well as run-time on four publicly available benchmark datasets. Our approach maintains accuracy on flat road scene datasets while improving substantially on a novel non-flat road dataset. |
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London; uk; September 2017 |
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BMVC |
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ADAS; 600.118 |
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ADAS @ adas @ HSE2017a |
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2945 |
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Author |
Yu Jie; Jaume Amores; N. Sebe; Petia Radeva; Tian Qi |
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Title |
Distance Learning for Similarity Estimation |
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2008 |
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IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(3):451–462 |
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ADAS;MILAB |
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ADAS @ adas @ JAS2008 |
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961 |
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Simon Jégou; Michal Drozdzal; David Vazquez; Adriana Romero; Yoshua Bengio |
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Title |
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation |
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2017 |
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IEEE Conference on Computer Vision and Pattern Recognition Workshops |
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Semantic Segmentation |
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State-of-the-art approaches for semantic image segmentation are built on Convolutional Neural Networks (CNNs). The typical segmentation architecture is composed of (a) a downsampling path responsible for extracting coarse semantic features, followed by (b) an upsampling path trained to recover the input image resolution at the output of the model and, optionally, (c) a post-processing module (e.g. Conditional Random Fields) to refine the model predictions.
Recently, a new CNN architecture, Densely Connected Convolutional Networks (DenseNets), has shown excellent results on image classification tasks. The idea of DenseNets is based on the observation that if each layer is directly connected to every other layer in a feed-forward fashion then the network will be more accurate and easier to train.
In this paper, we extend DenseNets to deal with the problem of semantic segmentation. We achieve state-of-the-art results on urban scene benchmark datasets such as CamVid and Gatech, without any further post-processing module nor pretraining. Moreover, due to smart construction of the model, our approach has much less parameters than currently published best entries for these datasets. |
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Honolulu; USA; July 2017 |
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CVPRW |
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MILAB; ADAS; 600.076; 600.085; 601.281 |
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ADAS @ adas @ JDV2016 |
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2866 |
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Author |
Javier Jimenez; Antonio Lopez; Joan Serrat |
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Title |
Un enfoque ABP aplicado a Ingenieria del Software |
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2007 |
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Seminario Internacional RED–U 2–07 para El desarrollo de la autonomia en el aprendizaje |
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Barcelona (Spain) |
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ADAS |
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ADAS @ adas @ JLS2007 |
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937 |
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Author |
Carme Julia; Joan Serrat; Antonio Lopez; Felipe Lumbreras; Daniel Ponsa |
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Title |
Motion segmentation through factorization. Application to night driving assistance |
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2006 |
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International Conference on Computer Vision Theory and Applications, (2) |
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ADAS @ adas @ JSL2006a |
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638 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
Factorization with Missing and Noisy Data |
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2006 |
Publication |
6th International Conference on Computational Science |
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ICCS´06 |
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LNCS 3991 |
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555–562 |
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Reading (United Kingdom) |
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ADAS |
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ADAS @ adas @ JSL2006b |
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653 |
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Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
An Iterative Multiresolution Scheme for SFM |
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2006 |
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International Conference on Image Analysis and Recognition |
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ICIAR 2006 |
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LNCS 4141 |
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1 |
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804–815 |
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ADAS |
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ADAS @ adas @ JSL2006c |
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704 |
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Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
Motion Segmentation from Feature Trajectories with Missing Data |
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2007 |
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3rd. Iberian Conference on Pattern Recognition and Image Analysis |
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IbPRIA 2007 |
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LNCS 4477 |
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483–490 |
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Girona (Spain) |
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J. Marti et al. (Eds.) |
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ADAS |
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ADAS @ adas @ JSL2007a |
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814 |
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Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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Title |
Rank Estimation in 3D Multibody Motion Segmentation |
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Journal Article |
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2008 |
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Electronic Letters |
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44 |
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4 |
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279-280 |
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A novel technique for rank estimation in 3D multibody motion segmentation is proposed. It is based on the study of the frequency spectra of moving rigid objects and does not use or assume a prior knowledge of the objects contained in the scene (i.e. number of objects and motion). The significance of rank estimation on multibody motion segmentation results is shown by using two motion segmentation algorithms over both synthetic and real data. |
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ADAS @ adas @ JSL2008a |
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939 |
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