Author |
Title |
Year |
Publication |
Volume |
Pages |
Mikhail Mozerov; V. Kober; I.A. Ovseyevich |
A Stereo Matching Algorithm with Global Smoothness Criterion |
2006 |
Topical Meeting on Optoinformatics / Information Photonics, 133–135 |
|
|
Joan Serrat |
Aplicacion del analisis de imagenes en radiologia. |
1995 |
To be published in a CD––ROM edited by AERFAI, the Spanish image Analysis and Pattern. |
|
|
Shiqi Yang; Yaxing Wang; Joost Van de Weijer; Luis Herranz; Shangling Jui |
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation |
2021 |
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) |
|
|
Albin Soutif; Marc Masana; Joost Van de Weijer; Bartlomiej Twardowski |
On the importance of cross-task features for class-incremental learning |
2021 |
Theory and Foundation of continual learning workshop of ICML |
|
|
Fernando Vilariño; Dimosthenis Karatzas; Marcos Catalan; Alberto Valcarcel |
An horizon for the Public Library as a place for innovation and creativity. The Library Living Lab in Volpelleres |
2015 |
The White Book on Public Library Network from Diputació de Barcelona |
|
|
Angel Sappa; M.A. Garcia |
Generating compact representations of static scenes by means of 3D object hierarchies |
2007 |
The Visual Computer, 23(2): 143–154 |
|
|
Sergio Escalera; Marti Soler; Stephane Ayache; Umut Guçlu; Jun Wan; Meysam Madadi; Xavier Baro; Hugo Jair Escalante; Isabelle Guyon |
ChaLearn Looking at People: Inpainting and Denoising Challenges |
2019 |
The Springer Series on Challenges in Machine Learning |
|
23-44 |
Sergio Escalera; Ralf Herbrich |
The NeurIPS’18 Competition: From Machine Learning to Intelligent Conversations |
2020 |
The Springer Series on Challenges in Machine Learning |
|
|
Sergio Escalera; Stephane Ayache; Jun Wan; Meysam Madadi; Umut Guçlu; Xavier Baro |
Inpainting and Denoising Challenges |
2019 |
The Springer Series on Challenges in Machine Learning |
|
|
Hugo Jair Escalante; Sergio Escalera; Isabelle Guyon; Xavier Baro; Yagmur Gucluturk; Umut Guçlu; Marcel van Gerven |
Explainable and Interpretable Models in Computer Vision and Machine Learning |
2018 |
The Springer Series on Challenges in Machine Learning |
|
|
Sergio Escalera; Markus Weimer; Mikhail Burtsev; Valentin Malykh; Varvara Logacheva; Ryan Lowe; Iulian Vlad Serban; Yoshua Bengio; Alexander Rudnicky; Alan W. Black; Shrimai Prabhumoye; Łukasz Kidzinski; Mohanty Sharada; Carmichael Ong; Jennifer Hicks; Sergey Levine; Marcel Salathe; Scott Delp; Iker Huerga; Alexander Grigorenko; Leifur Thorbergsson; Anasuya Das; Kyla Nemitz; Jenna Sandker; Stephen King; Alexander S. Ecker; Leon A. Gatys; Matthias Bethge; Jordan Boyd Graber; Shi Feng; Pedro Rodriguez; Mohit Iyyer; He He; Hal Daume III; Sean McGregor; Amir Banifatemi; Alexey Kurakin; Ian Goodfellow; Samy Bengio |
Introduction to NIPS 2017 Competition Track |
2018 |
The NIPS ’17 Competition: Building Intelligent Systems |
|
1-23 |
Oriol Ramos Terrades; Salvatore Tabbone; L. Wendling; Ernest Valveny |
Symbol Recognition based on a Multiresolution Analysis of the Radon Transform |
2004 |
The International Workshop on Multidisciplinary Image, Video, and Audio Retrieval and Mining |
|
|
Sergio Vera; Debora Gil; Antonio Lopez; Miguel Angel Gonzalez Ballester |
Multilocal Creaseness Measure |
2012 |
The Insight Journal |
|
|
Angel Sappa; M.A. Garcia |
Incremental Integration of Multiresolution Range Images |
2007 |
The imaging science journal. Vol. 55, No. 3 pp. 127–139 |
|
|
Joana Maria Pujadas-Mora; Alicia Fornes; Josep Llados; Anna Cabre |
Bridging the gap between historical demography and computing: tools for computer-assisted transcription and the analysis of demographic sources |
2016 |
The future of historical demography. Upside down and inside out |
|
127-131 |