| Author |
Title  |
Year |
Publication |
Volume |
Pages |
| 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 |
| 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 |
| Joan Serrat; Felipe Lumbreras; Idoia Ruiz |
Learning to measure for preshipment garment sizing |
2018 |
Measurement |
130 |
327-339 |
| Bogdan Raducanu; Jordi Vitria |
Learning to Learn: From Smarts Machines to Intelligent Machines |
2008 |
Patter Recognition Letters |
29 |
1024–1032 |
| 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 |
| Francesco Ciompi; Rui Hua; Simone Balocco; Marina Alberti; Oriol Pujol; Carles Caus; Josepa Mauri; Petia Radeva |
Learning to Detect Stent Struts in Intravascular Ultrasound |
2013 |
6th Iberian Conference on Pattern Recognition and Image Analysis |
7887 |
575-583 |
| 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 |
| 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 |
|
|
| Mikel Menta; Adriana Romero; Joost Van de Weijer |
Learning to adapt class-specific features across domains for semantic segmentation |
2020 |
Arxiv |
|
|
| Lichao Zhang; Abel Gonzalez-Garcia; Joost Van de Weijer; Martin Danelljan; Fahad Shahbaz Khan |
Learning the Model Update for Siamese Trackers |
2019 |
18th IEEE International Conference on Computer Vision |
|
4009-4018 |
| Jose Marone; Simone Balocco; Marc Bolaños; Jose Massa; Petia Radeva |
Learning the Lumen Border using a Convolutional Neural Networks classifier |
2016 |
19th International Conference on Medical Image Computing and Computer Assisted Intervention Workshop |
|
|
| Jaume Gibert |
Learning structural representations and graph matching paradigms in the context of object recognition |
2009 |
CVC Technical Report |
143 |
|
| Hana Jarraya; Oriol Ramos Terrades; Josep Llados |
Learning structural loss parameters on graph embedding applied on symbolic graphs |
2017 |
12th IAPR International Workshop on Graphics Recognition |
|
|
| Lei Kang; Lichao Zhang; Dazhi Jiang |
Learning Robust Self-Attention Features for Speech Emotion Recognition with Label-Adaptive Mixup |
2023 |
IEEE International Conference on Acoustics, Speech and Signal Processing |
|
|
| I. Sorodoc; S. Pezzelle; A. Herbelot; Mariella Dimiccoli; R. Bernardi |
Learning quantification from images: A structured neural architecture |
2018 |
Natural Language Engineering |
24 |
363-392 |
