Author |
Title ![sorted by Title field, descending order (down)](img/sort_desc.gif) |
Year |
Publication |
Volume |
Pages |
Lluis Gomez; Marçal Rusiñol; Dimosthenis Karatzas |
Cutting Sayre's Knot: Reading Scene Text without Segmentation. Application to Utility Meters |
2018 |
13th IAPR International Workshop on Document Analysis Systems |
|
97-102 |
Debora Gil; Petia Radeva |
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling |
2003 |
Energy Minimization Methods In Computer Vision And Pattern Recognition |
2683 |
357-372 |
Debora Gil; Petia Radeva |
Curvature based Distance Maps |
2003 |
CVC Technical Report |
|
|
Iban Berganzo-Besga; Hector A. Orengo; Felipe Lumbreras; Aftab Alam; Rosie Campbell; Petrus J Gerrits; Jonas Gregorio de Souza; Afifa Khan; Maria Suarez Moreno; Jack Tomaney; Rebecca C Roberts; Cameron A Petrie |
Curriculum learning-based strategy for low-density archaeological mound detection from historical maps in India and Pakistan |
2023 |
Scientific Reports |
13 |
11257 |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
Current Challenges on Polyp Detection in Colonoscopy Videos: From Region Segmentation to Region Classification. a Pattern Recognition-based Approach.ased Approach |
2011 |
2nd International Workshop on Medical Image Analysis and Descriptionfor Diagnosis Systems |
|
62-71 |
Robert Benavente; Laura Igual; Fernando Vilariño |
Current Challenges in Computer Vision |
2008 |
Proccedings of the Third Internal Workshop |
|
|
Md. Mostafa Kamal Sarker; Mohammed Jabreel; Hatem A. Rashwan; Syeda Furruka Banu; Antonio Moreno; Petia Radeva; Domenec Puig |
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. |
2018 |
Arxiv |
|
|
Md. Mostafa Kamal Sarker; Mohammed Jabreel; Hatem A. Rashwan; Syeda Furruka Banu; Petia Radeva; Domenec Puig |
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network |
2018 |
21st International Conference of the Catalan Association for Artificial Intelligence |
|
365-372 |
O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; J. Lopez; A. Tovar; V. Valle; David Rotger; Petia Radeva |
Cuantificacion tridimensional de la longitud de segmentos coronarios a partir de secuencias de ecografia intracoronaria |
2003 |
Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares |
|
|
Marwa Dhiaf; Mohamed Ali Souibgui; Kai Wang; Yuyang Liu; Yousri Kessentini; Alicia Fornes; Ahmed Cheikh Rouhou |
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition |
2023 |
Arxiv |
|
|
Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nikola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria Baldeon Calisto; Jae Won Choi; Benoit M. Dawant; Hexin Dong; Sergio Escalera; Yubo Fan; Lasse Hansen; Mattias P. Heinrich; Smriti Joshi; Victoriya Kashtanova; Hyeon Gyu Kim; Satoshi Kondo; Christian N. Kruse; Susana K. Lai-Yuen; Hao Li; Han Liu; Buntheng Ly; Ipek Oguz; Hyungseob Shin; Boris Shirokikh; Zixian Su; Guotai Wang; Jianghao Wu; Yanwu Xu; Kai Yao; Li Zhang; Sebastien Ourselin, |
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation |
2023 |
Medical Image Analysis |
83 |
102628 |
Naveen Onkarappa; Cristhian A. Aguilera-Carrasco; Boris X. Vintimilla; Angel Sappa |
Cross-spectral Stereo Correspondence using Dense Flow Fields |
2014 |
9th International Conference on Computer Vision Theory and Applications |
3 |
613-617 |
Cristhian A. Aguilera-Carrasco; Angel Sappa; Cristhian Aguilera; Ricardo Toledo |
Cross-Spectral Local Descriptors via Quadruplet Network |
2017 |
Sensors |
17 |
873 |
M. Cruz; Cristhian A. Aguilera-Carrasco; Boris X. Vintimilla; Ricardo Toledo; Angel Sappa |
Cross-spectral image registration and fusion: an evaluation study |
2015 |
2nd International Conference on Machine Vision and Machine Learning |
|
|
Michael Teutsch; Angel Sappa; Riad I. Hammoud |
Cross-Spectral Image Processing |
2022 |
Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision |
|
23-34 |