Pedro Zuccarello

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 21

Top Topics

Visual Recognition Tasks

Biologically Inspired

Top Venues

Publications

Javier Naranjo-Alcazar, Jordi Grau-Haro, Ruben Ribes-Serrano, Pedro Zuccarello
Practical aspects for the creation of an audio dataset from field recordings with optimized labeling budget with AI-assisted strategy. CoRR (2024)
Javier Naranjo-Alcazar, Jordi Grau-Haro, Pedro Zuccarello, David Almenar, Jesús López Ballester
Automatic Counting and Classification of Mosquito Eggs in Field Traps. CoRR (2024)
Javier Naranjo-Alcazar, Jordi Grau-Haro, David Almenar, Pedro Zuccarello
Female mosquito detection by means of AI techniques inside release containers in the context of a Sterile Insect Technique program. CoRR (2023)
Josep Zaragoza-Paredes, Javier Naranjo-Alcazar, Valery Naranjo, Pedro Zuccarello
DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations. CoRR (2022)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Ana M. Torres, José J. López, Francesc J. Ferri, Maximo Cobos
An Open-Set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments. Pattern Recognit. Lett. 164 (2022)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Aaron Lopez-Garcia, Pedro Zuccarello, Maximo Cobos, Francesc J. Ferri
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification. CoRR (2021)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Francesc J. Ferri, Maximo Cobos
TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs. CoRR (2021)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Maximo Cobos, Francesc J. Ferri, Pedro Zuccarello
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint. CoRR (2021)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Maximo Cobos, Francesc J. Ferri, Pedro Zuccarello
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification. DCASE (2021)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos
On the performance of different excitation-residual blocks for Acoustic Scene Classification. CoRR (2020)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Jose Ferrandis, Pedro Zuccarello, Maximo Cobos
Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs. CoRR (2020)
Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos
Anomalous Sound Detection using unsupervised and semi-supervised autoencoders and gammatone audio representation. CoRR (2020)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martín-Morató, Pedro Zuccarello, Francesc J. Ferri, Maximo Cobos
A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification. IEEE Access 8 (2020)
Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos
Listen carefully and tell: an audio captioning system based on residual learning and gammatone audio representation. CoRR (2020)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments. CoRR (2020)
Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos
Listen Carefully and Tell: An Audio Captioning System Based on Residual Learning and Gammatone Audio Representation. DCASE (2020)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Fabio Antonacci, Maximo Cobos
Open Set Audio Classification Using Autoencoders Trained on Few Data. Sensors 20 (13) (2020)
Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello, Maximo Cobos
Anomalous Sound Detection using Unsupervised and Semi-Supervised Autoencoders and Gammatone Audio Representation. DCASE (2020)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos
Acoustic Scene Classification With Squeeze-Excitation Residual Networks. IEEE Access 8 (2020)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martín-Morató, Pedro Zuccarello, Maximo Cobos
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification. CoRR (2019)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos
DCASE 2019: CNN depth analysis with different channel inputs for Acoustic Scene Classification. CoRR (2019)
Esther de Ves, Pedro Zuccarello, Teresa León, Guillermo Ayala
IOWA Operators and Its Application to Image Retrieval. S+SSPR (2014)
Francisco Vegara, Pedro Zuccarello, Jose Antonio Boluda, Fernando Pardo
Taking Advantage of Selective Change Driven Processing for 3D Scanning. Sensors 13 (10) (2013)
Jose Antonio Boluda, Pedro Zuccarello, Fernando Pardo, Francisco Vegara
On the Design of Change-driven Data-flow Algorithms and Architectures for High-speed Motion Analysis. ICINCO (1) (2012)
Jose Antonio Boluda, Pedro Zuccarello, Fernando Pardo, Francisco Vegara
Selective Change Driven Imaging: A Biomimetic Visual Sensing Strategy. Sensors 11 (11) (2011)
Fernando Pardo, Pedro Zuccarello, Jose Antonio Boluda, Francisco Vegara
Advantages of Selective Change-Driven Vision for Resource-Limited Systems. IEEE Trans. Circuits Syst. Video Technol. 21 (10) (2011)
Jose Antonio Boluda, Francisco Vegara, Fernando Pardo, Pedro Zuccarello
Selective Change-Driven Image Processing: A Speeding-Up Strategy. CIARP (2009)
Fernando Pardo, Jose Antonio Boluda, Francisco Vegara, Pedro Zuccarello
On the Advantages of Asynchronous Pixel Reading and Processing for High-Speed Motion Estimation. ISVC (1) (2008)
Teresa León, Pedro Zuccarello, Guillermo Ayala, Esther de Ves, Juan Domingo
Applying logistic regression to relevance feedback in image retrieval systems. Pattern Recognit. 40 (10) (2007)
Pedro Zuccarello, Esther de Ves, Teresa León, Guillermo Ayala, Juan Domingo
A novel relevance feedback procedure based on logistic regression and owa operator for content-based image retrieval system. VISAPP (2) (2007)
Esther de Ves, Juan Domingo, Guillermo Ayala, Pedro Zuccarello
A novel Bayesian framework for relevance feedback in image content-based retrieval systems. Pattern Recognit. 39 (9) (2006)
Pedro Zuccarello, Alberto Gonzalez, Juan Domingo, Guillermo Ayala
Computation of common acoustical poles in subbands by means of a clustering technique. EUSIPCO (2006)