Author |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Year |
Publication |
Volume |
Pages |
Patricia Suarez; Angel Sappa; Boris X. Vintimilla |
Learning to Colorize Infrared Images |
2017 |
15th International Conference on Practical Applications of Agents and Multi-Agent System |
|
|
Santiago Segui; Oriol Pujol; Jordi Vitria |
Learning to count with deep object features |
2015 |
Deep Vision: Deep Learning in Computer Vision, CVPR 2015 Workshop |
|
90-96 |
Francesco Ciompi; Rui Hua; Simone Balocco; Marina Alberti; Oriol Pujol; Carles Caus; J. Mauri; Petia Radeva |
Learning to Detect Stent Struts in Intravascular Ultrasound |
2013 |
6th Iberian Conference on Pattern Recognition and Image Analysis |
7887 |
575-583 |
Raul Gomez; Lluis Gomez; Jaume Gibert; Dimosthenis Karatzas |
Learning to Learn from Web Data through Deep Semantic Embeddings |
2018 |
15th European Conference on Computer Vision Workshops |
11134 |
514-529 |
Bogdan Raducanu; Jordi Vitria |
Learning to Learn: From Smarts Machines to Intelligent Machines |
2008 |
Patter Recognition Letters |
29 |
1024–1032 |
Joan Serrat; Felipe Lumbreras; Idoia Ruiz |
Learning to measure for preshipment garment sizing |
2018 |
Measurement |
130 |
327-339 |
M. Li; Xialei Liu; Joost Van de Weijer; Bogdan Raducanu |
Learning to Rank for Active Learning: A Listwise Approach |
2020 |
25th International Conference on Pattern Recognition |
|
5587-5594 |
Naila Murray; Luca Marchesotti; Florent Perronnin |
Learning to Rank Images using Semantic and Aesthetic Labels |
2012 |
23rd British Machine Vision Conference |
|
110.1-110.10 |
Pau Riba; Adria Molina; Lluis Gomez; Oriol Ramos Terrades; Josep Llados |
Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting |
2021 |
16th International Conference on Document Analysis and Recognition |
12822 |
381–395 |
Swathikiran Sudhakaran; Sergio Escalera;Oswald Lanz |
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries |
2021 |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
|
|
Albert Clapes |
Learning to recognize human actions: from hand-crafted to deep-learning based visual representations |
2019 |
PhD Thesis, Universitat de Barcelona-CVC |
|
|
Chris Bahnsen; David Vazquez; Antonio Lopez; Thomas B. Moeslund |
Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data |
2019 |
14th International Conference on Computer Vision Theory and Applications |
|
123-130 |
Jon Almazan |
Learning to Represent Handwritten Shapes and Words for Matching and Recognition |
2014 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
Eloi Puertas; Miguel Angel Bautista; Daniel Sanchez; Sergio Escalera; Oriol Pujol |
Learning to Segment Humans by Stacking their Body Parts, |
2014 |
ECCV Workshop on ChaLearn Looking at People |
8925 |
685-697 |
Saad Minhas; Aura Hernandez-Sabate; Shoaib Ehsan; Katerine Diaz; Ales Leonardis; Antonio Lopez; Klaus McDonald Maier |
LEE: A photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-Driving Mode |
2016 |
14th European Conference on Computer Vision Workshops |
9915 |
894-900 |