Publications

Google Scholar

2017

Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling. (Oral Presentation)
S. Ramos, Stefan Gehrig, P. Pinggera, Uwe Franke, Carsten Rother.
In Intelligent Vehicles Symposium (IV).


2016

Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. (Oral Presentation)
P. Pinggera*, S. Ramos*, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester. (* equal contribution)
In International Conference on Intelligent Robots and Systems (IROS).
The Cityscapes Dataset for Semantic Urban Scene Understanding. (Short Oral Presentation)
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, B. Schiele.
In Conference on Computer Vision and Pattern Recognition (CVPR).
Hierarchical Adaptive Structural SVM for Domain Adaptation.
J. Xu, S. Ramos, D. Vazquez, A. M. Lopez.
In International Journal of Computer Vision (IJCV).
Winner in pedestrian detection, RMRC Workshop at ICCV 2013.


2015

The Cityscapes Dataset. (Extended Abstract)
M. Cordts, M. Omran, S. Ramos, T. Scharwaechter, M. Enzweiler, R. Benenson, U. Franke, S. Roth, B. Schiele.
In The Future of Datasets in Vision (CVPR workshop).
Vision-based Offline-Online Perception Paradigm for Autonomous Driving.
G. Ros, S. Ramos, M. Granados, A. Bakhtiary, D. Vazquez and A. M. Lopez.
In Winter Conference on Applications of Computer Vision (WACV).
Spatiotemporal Stacked Sequential Learning for Pedestrian Detection.
A. Gonzalez, D. Vazquez, S. Ramos, A. M. Lopez, J. Amores.
In Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA).


2014

Domain Adaptation of Deformable Part-Based Models.
J. Xu, S. Ramos, D. Vazquez, A. M. Lopez.
In Transactions on Pattern Analysis and Machine Intelligence (PAMI).
Incremental Domain Adaptation of Deformable Part-based Models.
J. Xu, S. Ramos, D. Vazquez, A. M. Lopez.
In British Machine Vision Conference (BMVC).
Cost-sensitive Structured SVM for Multi-category Domain Adaptation.
J. Xu, S. Ramos, D. Vazquez, A. M. Lopez.
In International Conference on Pattern Recognition (ICPR).


2013

Active MAP Inference in CRFs for Efficient Semantic Segmentation. (Oral Presentation)
G. Roig*, X. Boix*, R. de Nijs, S. Ramos, K. Kühnlenz, L. Van Gool. (* equal contribution)
In International Conference on Computer Vision (ICCV).
Multi-task Bilinear Classifiers for Visual Domain Adaptation. (Extended Abstract)
J. Xu, S. Ramos, X. Hu, D. Vazquez, A. M. Lopez.
In New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks (NIPS workshop).
Adapting Pedestrian Detection from Synthetic to Far Infrared Images. (Extended Abstract)
Y. Socarras *, S. Ramos*, D. Vazquez, A. M. Lopez, T. Gevers. (* equal contribution)
In Visual Domain Adaptation (ICCV workshop).
Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers.
J. Xu, D. Vazquez, S. Ramos, A. M. Lopez, D. Ponsa.
In Ground Truth – What is a good dataset? (CVPR workshop).
Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes.
D. Vazquez, J. Xu, S. Ramos, A. M. Lopez, D. Ponsa.
In Ground Truth – What is a good dataset? (CVPR workshop).


2012

On-line Semantic Perception Using Uncertainty.
R. de Nijs*, S. Ramos*, G. Roig, X. Boix, L. Van Gool, K. Kühnlenz. (* equal contribution)
In International Conference on Intelligent Robots and Systems (IROS).
Efficient Temporal Semantic Segmentation.
S. Ramos.
Master Thesis, Technical University of Munich.

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