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Author
Title
Year
Publication
Volume
Pages
Links
Marc Masana; Idoia Ruiz; Joan Serrat; Joost Van de Weijer; Antonio Lopez
Metric Learning for Novelty and Anomaly Detection
2018
29th British Machine Vision Conference
Yi Xiao; Felipe Codevilla; Christopher Pal; Antonio Lopez
Action-Based Representation Learning for Autonomous Driving
2020
Conference on Robot Learning
Idoia Ruiz; Lorenzo Porzi; Samuel Rota Bulo; Peter Kontschieder; Joan Serrat
Weakly Supervised Multi-Object Tracking and Segmentation
2021
IEEE Winter Conference on Applications of Computer Vision Workshops
125-133
Josep M. Gonfaus; Xavier Boix; Joost Van de Weijer; Andrew Bagdanov; Joan Serrat; Jordi Gonzalez
Harmony Potentials for Joint Classification and Segmentation
2010
23rd IEEE Conference on Computer Vision and Pattern Recognition
3280–3287
Ishaan Gulrajani; Kundan Kumar; Faruk Ahmed; Adrien Ali Taiga; Francesco Visin; David Vazquez; Aaron Courville
PixelVAE: A Latent Variable Model for Natural Images
2017
5th International Conference on Learning Representations
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
Ferran Diego; G.D. Evangelidis; Joan Serrat
Night-time outdoor surveillance by mobile cameras
2012
1st International Conference on Pattern Recognition Applications and Methods
2
365-371
Arnau Ramisa; Shrihari Vasudevan; David Aldavert; Ricardo Toledo; Ramon Lopez de Mantaras
Evaluation of the SIFT Object Recognition Method in Mobile Robots: Frontiers in Artificial Intelligence and Applications
2009
12th International Conference of the Catalan Association for Artificial Intelligence
202
9-18
Arnau Ramisa; David Aldavert; Shrihari Vasudevan; Ricardo Toledo; Ramon Lopez de Mantaras
The IIIA30 MObile Robot Object Recognition Datset
2011
11th Portuguese Robotics Open
David Aldavert; Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo
Real-time Object Segmentation using a Bag of Features Approach
2010
13th International Conference of the Catalan Association for Artificial Intelligence
220
321–329
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