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Author
Title
Year
Publication
Volume
Pages
Links
Diego Alejandro Cheda; Daniel Ponsa; Antonio Lopez
Camera Egomotion Estimation in the ADAS Context
2010
13th International IEEE Annual Conference on Intelligent Transportation Systems
1415–1420
Jose Manuel Alvarez; Felipe Lumbreras; Theo Gevers; Antonio Lopez
Geographic Information for vision-based Road Detection
2010
IEEE Intelligent Vehicles Symposium
621–626
Jaume Amores; David Geronimo; Antonio Lopez
Multiple instance and active learning for weakly-supervised object-class segmentation
2010
3rd IEEE International Conference on Machine Vision
Muhammad Anwer Rao; David Vazquez; Antonio Lopez
Opponent Colors for Human Detection
2011
5th Iberian Conference on Pattern Recognition and Image Analysis
6669
363-370
Muhammad Anwer Rao; David Vazquez; Antonio Lopez
Color Contribution to Part-Based Person Detection in Different Types of Scenarios
2011
14th International Conference on Computer Analysis of Images and Patterns
6855
463-470
Aura Hernandez-Sabate; Debora Gil; David Roche; Monica M. S. Matsumoto; Sergio S. Furuie
Inferring the Performance of Medical Imaging Algorithms
2011
14th International Conference on Computer Analysis of Images and Patterns
6854
520-528
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate
A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth
2011
IEEE International Conference on Computer Vision – Workshops
2042-2049
David Vazquez; Antonio Lopez; Daniel Ponsa; Javier Marin
Virtual Worlds and Active Learning for Human Detection
2011
13th International Conference on Multimodal Interaction
393-400
Naveen Onkarappa; Angel Sappa
Space Variant Representations for Mobile Platform Vision Applications
2011
14th International Conference on Computer Analysis of Images and Patterns
6855
146-154
Marçal Rusiñol; David Aldavert; Dimosthenis Karatzas; Ricardo Toledo; Josep Llados
Interactive Trademark Image Retrieval by Fusing Semantic and Visual Content. Advances in Information Retrieval
2011
33rd European Conference on Information Retrieval
6611
314-325
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