José Manuel Saavedra Rondo

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Benjamin BustosDepartment of Computer Science, University of ChileVerified email at dcc.uchile.cl
Tobias SchreckProfessor of Computer Science, Graz University of TechnologyVerified email at cgv.tugraz.at
Juan Manuel BarriosImpresee IncVerified email at impresee.com
Bo Li, 李波University of Southern MississippiVerified email at usm.edu
Henry JohanFraunhofer SingaporeVerified email at fraunhofer.sg
Afzal GodilNational Institute of Standards and Technology, Gaithersburg, MD, USAVerified email at nist.gov
Yijuan LuAssociate Professor of Computer Science, Texas State UniversityVerified email at txstate.edu
Domingo MeryFull Professor at Pontificia Universidad Católica de Chile, Computer ScienceVerified email at uc.cl
Takahiko Furuya (古屋貴彦)University of YamanashiVerified email at yamanashi.ac.jp
Ryutarou Ohbuchi （大渕竜太郎）University of YamanashiVerified email at yamanashi.ac.jp
Sandipan BanerjeeSamsung Research America (NEON)Verified email at samsung.com
Violeta ChangUniversidad de Santiago de ChileVerified email at usach.cl
Nancy Hitschfeld KahlerFull Professor at the Computer Science Department, University of ChileVerified email at dcc.uchile.cl
Alfredo FerreiraINESC-ID Lisboa / Instituto Superior Técnico / University of LisbonVerified email at tecnico.ulisboa.pt
Manuel J. FonsecaLASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de LisboaVerified email at ciencias.ulisboa.pt
Luiz Eduardo S. OliveiraFederal University of Parana, Dept of InformaticsVerified email at ufpr.br
Mathias EitzOthoz GmbHVerified email at othoz.com
Marc AlexaProfessor of Computer Science, TU BerlinVerified email at tu-berlin.de
Dr. Steffen HärtelFull Professor, University of ChileVerified email at uchile.cl
Ignacio ÚbedaUniversity of WürzburgVerified email at uni-wuerzburg.de

José Manuel Saavedra Rondo

Research Professor, Faculty of Engineering and Applied Sciences, Universidad de los Andes, Chile

Verified email at miuandes.cl

computer vision image processing deep learning self-supervised models


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A comparison of methods for sketch-based 3D shape retrieval B Li, Y Lu, A Godil, T Schreck, B Bustos, A Ferreira, T Furuya, MJ Fonseca, ... Computer Vision and Image Understanding 119, 57-80, 2014	136	2014
Modern computer vision techniques for x-ray testing in baggage inspection D Mery, E Svec, M Arias, V Riffo, JM Saavedra, S Banerjee IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (4), 682-692, 2016	122	2016
SHREC’13 track: Large scale sketch-based 3D shape retrieval B Li, Y Lu, A Godil, T Schreck, M Aono, H Johan, JM Saavedra, S Tashiro EG 3DOR 2013, 89-96, 2013	104	2013
Sketch based Image Retrieval using Learned KeyShapes (LKS). JM Saavedra, JM Barrios, S Orand BMVC 1 (2), 7, 2015	93	2015
An improved histogram of edge local orientations for sketch-based image retrieval JM Saavedra, B Bustos Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22 …, 2010	86	2010
Sketch based image retrieval using a soft computation of the histogram of edge local orientations (s-helo) JM Saavedra 2014 IEEE international conference on image processing (ICIP), 2998-3002, 2014	85	2014
SHREC'12 Track: Sketch-Based 3D Shape Retrieval. B Li, T Schreck, A Godil, M Alexa, T Boubekeur, B Bustos, J Chen, M Eitz, ... 3DOR@ Eurographics, 109-118, 2012	62	2012
Gold-standard and improved framework for sperm head segmentation V Chang, JM Saavedra, V Castañeda, L Sarabia, N Hitschfeld, S Härtel Computer methods and programs in biomedicine 117 (2), 225-237, 2014	61	2014
Sketch-based image retrieval using keyshapes JM Saavedra, B Bustos Multimedia Tools and Applications 73, 2033-2062, 2014	54	2014
STELA: sketch-based 3D model retrieval using a structure-based local approach JM Saavedra, B Bustos, M Scherer, T Schreck Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 1-8, 2011	40	2011
Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation. JM Saavedra, B Bustos, T Schreck, SM Yoon, M Scherer 3DOR@ Eurographics, 47-50, 2012	38	2012
ICFHR 2014 competition on handwritten digit string recognition in challenging datasets (HDSRC 2014) M Diem, S Fiel, F Kleber, R Sablatnig, JM Saavedra, D Contreras, ... 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014	32	2014
Rst-shelo: sketch-based image retrieval using sketch tokens and square root normalization JM Saavedra Multimedia Tools and Applications 76, 931-951, 2017	16	2017
A comprehensive comparison of end-to-end approaches for handwritten digit string recognition AG Hochuli, AS Britto Jr, DA Saji, JM Saavedra, R Sabourin, LS Oliveira Expert Systems with Applications 165, 114196, 2021	10	2021
Improving pattern spotting in historical documents using feature pyramid networks I Ubeda, JM Saavedra, S Nicolas, C Petitjean, L Heutte Pattern Recognition Letters 131, 398-404, 2020	10	2020
Sketch-qnet: A quadruplet convnet for color sketch-based image retrieval A Fuentes, JM Saavedra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	7	2021
Compact and effective representations for sketch-based image retrieval P Torres, JM Saavedra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	7	2021
Pattern spotting in historical documents using convolutional models I Úbeda, JM Saavedra, S Nicolas, C Petitjean, L Heutte Proceedings of the 5th international workshop on historical document imaging …, 2019	7	2019
Automatic floor plan analysis and recognition PN Pizarro, N Hitschfeld, I Sipiran, JM Saavedra Automation in Construction 140, 104348, 2022	6	2022
Handwritten digit recognition based on pooling SVM-classifiers using orientation and concavity based features JM Saavedra Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2014	6	2014

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