IbPRIA 2023 image number 2
IbPRIA 2023: 11th Iberian Conference on Pattern Recognition and Image Analysis
Alicante, Spain. June 27-30, 2023
June 25, 2023
Proceedings available

June 21, 2023
Handbook program and DC book of abstracts published

June 9, 2023
Program published

May 16, 2023
Preliminary Program published

Mar 25, 2023
Registration is open

Feb 13, 2023
Submission deadline extended to March 5, 2023 (hard deadline)

Dic 23, 2022
The awarded papers will be invited to prepare extended versions for Pattern Recognition Letters

Dic 22, 2022
A short list of presented papers will be invited to submit extended versions for possible publication in Pattern Analysis and Applications

October 21, 2022
IAPR endorsement approved


Best paper

CCLM: Class-conditional Label Noise Modelling.
Albert Catalan Tatjer, Bhalaji Nagarajan, Ricardo Jorge Rodrigues Sepúlveda Marques and Petia Radeva

Best student paper

Addressing class imbalance in Multilabel Prototype Generation for k-Nearest Neighbor classification.
Carlos Peñarrubia, Jose J. Valero-Mas, Antonio Javier Gallego and Jorge Calvo-Zaragoza

Best paper honorable mention

Guided depth completion using active infrared images in Time of Flight system.
Amina Achaibou, Nofre Sanmartín-Vich, Filiberto Pla and Javier Calpe

Best student paper honorable mention

Segmentation of Large Historical Manuscript Bundles into Multi-page Deeds.
José Ramón Prieto Fontcuberta, David Becerra, Alejandro Hector Toselli, Carlos Alonso and Enrique Vidal

Doctoral Consortium

Rafael Aguilar-Ortega


Disruptive approaches to handwriting and signature authentication for security-enhanced schemes.
Rubén Tolosana

AERFAI PhD first accesit

Contributions to Document Image Analysis: Application to Music Score Images.
Francisco J. Castellanos

AERFAI PhD second accesit

Some Contributions to Interactive Machine Translation and to the Applications of Machine Translation for Historical Documents.
Miguel Domingo

APRP best PhD

Learnable Sparsity and Weak Supervision for Data-Efficient, Transparent, and Compact Neural Models.
Gonçalo Migueis de Matos Afonso Correia


Endorsed by


Technical Sponsors