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Iñigo Barandiaran
Person information
- affiliation: Visual Communication Technologies, San Sebastián, Spain
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2020 – today
- 2023
- [c25]Xabier Iturbe, Xabier Alberdi, Ander Aramburu, Armando Astarloa, Iñigo Barandiaran, Koldo Basterretxea, Angélica Dávila, Asier Erramuzpe, Iñigo Gabilondo, Garikoitz Lerma-Usabiaga, Lisandro Gabriel Monsalve, Libe Mori, Javier Navaridas, Jose Antonio Pascual, Joaquin Piriz, Serafim Rodrigues, Oscar Seijo, Ander Soraluze, Edgar Soria, Ignacio Torres, Nerea Uriarte, Juan Luis Valerdi
:
SiliconBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country. SEAA 2023: 426-431 - 2022
- [j12]Fatima A. Saiz, Iñigo Barandiaran, Ander Arbelaiz
, Manuel Graña
:
Photometric Stereo-Based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network. Sensors 22(3): 882 (2022) - [c24]Sergio Presa
, Fatima A. Saiz, Iñigo Barandiaran:
A Fast Deep Learning Based Approach for Unsupervised Anomaly Detection in 3D Data. ICFSP 2022: 6-13 - [c23]Ander Garcia, Marco Quartulli, Igor G. Olaizola, Iñigo Barandiaran:
Relevance of Visualization and Interaction Technologies for Industry 5.0. I-ESA Workshops 2022 - [c22]Igor García Olaizola, Marco Quartulli, Ander García, Iñigo Barandiaran:
Artificial Intelligence from Industry 5.0 perspective: Is the Technology Ready to Meet the Challenge? I-ESA Workshops 2022 - 2021
- [j11]Fatima A. Saiz, Garazi Alfaro
, Iñigo Barandiaran:
An Inspection and Classification System for Automotive Component Remanufacturing Industry Based on Ensemble Learning. Inf. 12(12): 489 (2021) - [c21]Fatima A. Saiz, Garazi Alfaro, Iñigo Barandiaran, Sara García, María del Puy Carretero, Manuel Graña:
Synthetic Data Set Generation for the Evaluation of Image Acquisition Strategies Applied to Deep Learning Based Industrial Component Inspection Systems. CEIG 2021: 1-8 - 2020
- [j10]Alvaro Segura, Helen V. Díez, Iñigo Barandiaran
, Ander Arbelaiz, Hugo Álvarez, Bruno Simões
, Jorge Posada
, Alejandro García-Alonso, Ramón J. Ugarte:
Visual computing technologies to support the Operator 4.0. Comput. Ind. Eng. 139: 105550 (2020) - [j9]Fatima A. Saiz, Iñigo Barandiaran:
COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach. Int. J. Interact. Multim. Artif. Intell. 6(2): 1-4 (2020)
2010 – 2019
- 2019
- [j8]Camilo Cortés
, Maria Osorno, David Uribe, Holger Steeb, Oscar Ruiz-Salguero
, Iñigo Barandiaran
, Julián Flórez:
Geometry simplification of open-cell porous materials for elastic deformation FEA. Eng. Comput. 35(1): 257-276 (2019) - [j7]Daniel Mejia-Parra, Aitor Moreno
, Jorge Posada
, Oscar Ruiz-Salguero
, Iñigo Barandiaran
, Juan Carlos Poza, Raúl Chopitea:
Frequency-domain analytic method for efficient thermal simulation under curved trajectories laser heating. Math. Comput. Simul. 166: 177-192 (2019) - [c20]Ander Arbelaiz, Aitor Moreno, Iñigo Barandiaran
, Alejandro García-Alonso:
Progressive ray-casting volume rendering with WebGL for visual assessment of air void distribution in quality control. Web3D 2019: 1-8 - 2018
- [j6]Bruno Simões
, Raffaele De Amicis
, Iñigo Barandiaran
, Jorge Posada
:
X-Reality System Architecture for Industry 4.0 Processes. Multimodal Technol. Interact. 2(4): 72 (2018) - [c19]Fatima A. Saiz, Ismael Serrano, Iñigo Barandiaran
, Jairo R. Sanchez:
A Robust and Fast Deep Learning-Based Method for Defect Classification in Steel Surfaces. IEEE Conf. on Intelligent Systems 2018: 455-460 - [c18]Bruno Simões
, Hugo Álvarez, Alvaro Segura
, Iñigo Barandiaran
:
Unlocking Augmented Interactions in Short-Lived Assembly Tasks. SOCO-CISIS-ICEUTE 2018: 270-279 - 2015
- [j5]Jorge Posada
, Carlos Toro
, Iñigo Barandiaran
, David Oyarzun, Didier Stricker, Raffaele De Amicis
, Eduardo B. Pinto
, Peter Eisert
, Jürgen Döllner, Ivan Vallarino:
Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet. IEEE Computer Graphics and Applications 35(2): 26-40 (2015) - [c17]Carlos Toro
, Iñigo Barandiaran
, Jorge Posada
:
A Perspective on Knowledge Based and Intelligent Systems Implementation in Industrie 4.0. KES 2015: 362-370 - 2013
- [j4]Iñigo Barandiaran
, Manuel Graña, Marcos Nieto
:
An Empirical Evaluation of Interest Point Detectors. Cybern. Syst. 44(2-3): 98-117 (2013) - [j3]Diego A. Acosta
, Iñigo Barandiaran
, John Congote, Oscar E. Ruiz
, Alejandro Hoyos, Manuel Graña:
Tuning of Adaptive Weight Depth Map Generation Algorithms - Exploratory Data Analysis and Design of Computer Experiments (DOCE). J. Math. Imaging Vis. 47(1-2): 3-12 (2013) - [c16]Iñigo Barandiaran, Camilo Cortés, Marcos Nieto, Manuel Graña, Oscar E. Ruiz:
A New Evaluation Framework and Image Dataset for Keypoint Extraction and Feature Descriptor Matching. VISAPP (1) 2013: 252-257 - [c15]Igor G. Olaizola, Iñigo Barandiaran, Basilio Sierra, Manuel Graña:
DITEC - Experimental Analysis of an Image Characterization Method based on the Trace Transform. VISAPP (1) 2013: 344-352 - 2012
- [c14]Izaro Goienetxea, Iñigo Barandiaran
, Carlos Jauquicoa, Gregory Maclair
, Manuel Graña:
Image Analysis Pipeline for Automatic Karyotyping. HAIS (2) 2012: 392-403 - [c13]Iñigo Barandiaran, Gregory Maclair, Izaro Goienetxea, Carlos Jauquicoa, Manuel Graña:
A Comparative Study of Classifier Ensembles for Karyotyping. KES 2012: 1400-1407 - [c12]Iñigo Barandiaran, John Congote, Jon Goenetxea, Oscar E. Ruiz:
Evaluation of interest point detectors for image information extraction. KES 2012: 2170-2179 - 2011
- [c11]Alejandro Hoyos, John Congote, Iñigo Barandiaran
, Diego A. Acosta
, Oscar E. Ruiz
:
Statistical Tuning of Adaptive-Weight Depth Map Algorithm. CAIP (2) 2011: 563-572 - [c10]John Congote, Iñigo Barandiaran, Javier Barandiarán, Marcos Nieto, Oscar E. Ruiz:
Face Reconstruction with Structured Light. VISAPP 2011: 149-155 - 2010
- [j2]Iñigo Barandiaran
, Céline Paloc, Manuel Graña:
Real-time optical markerless tracking for augmented reality applications. J. Real Time Image Process. 5(2): 129-138 (2010) - [c9]John Congote, Aitor Moreno, Iñigo Barandiaran, Javier Barandiarán, Jorge Posada, Oscar E. Ruiz:
Marching Cubes in an Unsigned Distance Field for Surface Reconstruction from Unorganized Point Sets. GRAPP 2010: 143-147
2000 – 2009
- 2009
- [c8]John Congote, Javier Barandiarán, Iñigo Barandiaran, Oscar E. Ruiz
:
Realtime Dense Stereo Matching with Dynamic Programming in CUDA. CEIG 2009: 231-234 - [c7]John Congote, Aitor Moreno, Iñigo Barandiaran, Javier Barandiarán, Oscar E. Ruiz:
Adaptative Cubical Grid for Isosurface Extraction. GRAPP 2009: 21-26 - [c6]Iñigo Barandiaran
, Iván Macía, Eva Berckmann, Diana Wald, Michael Pierre Dupillier, Céline Paloc, Manuel Graña:
An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data. IDEAL 2009: 649-655 - [c5]John Congote, Aitor Moreno
, Iñigo Barandiaran
, Javier Barandiarán
, Oscar E. Ruiz
:
Extending Marching Cubes with Adaptative Methods to Obtain More Accurate Iso-surfaces. VISIGRAPP (Selected Papers) 2009: 35-44 - 2008
- [c4]Iñigo Barandiaran, Charlotte Cottez, Céline Paloc, Manuel Graña:
Random Forest Classifiers for Real-Time Optical Markerless Tracking. VISAPP (2) 2008: 559-564 - 2006
- [j1]Igor G. Olaizola, Iñigo Barandiaran Martirena, Tobias D. Kammann:
MHP Oriented Interactive Augmented Reality System for Sports Broadcasting Environments. J. Virtual Real. Broadcast. 3 (2006) - 2004
- [c3]Eduardo Carrasco, Iván Macía, Rubén Gómez, Iñigo Barandiaran, Céline Paloc, Georgios Sakas:
Augmented reality based on auto-stereoscopic display for computer-aided surgery. CARS 2004: 1313 - [c2]Céline Paloc, Eduardo Carrasco, Iván Macía, Rubén Gómez, Iñigo Barandiaran, José Manuel Jiménez, Oskar Rueda, Jorge Ortiz de Urbina, Andrés Valdivieso
, Georgios Sakas:
Computer-Aided Surgery based on Auto-Stereoscopic Augmented Reality. IV 2004: 189-193 - 2003
- [c1]Pablo Ayala, Iñigo Barandiaran
, David Vicente, Manuel Graña:
Exploring simple visual languages for real time human-computer interaction. VECIMS 2003: 107-112
Coauthor Index
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last updated on 2024-08-05 21:13 CEST by the dblp team
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