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ORCIDJosé M. Saavedra
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2020 – today
- 2024
[j12]Diego Donoso
, José M. Saavedra:
Survey on Sketch-to-photo Translation. ACM Comput. Surv. 56(1): 22:1-22:25 (2024)- [j11]Tomás de la Sotta, Violeta Chang, Benjamín Pizarro, Héctor Henriquez, Nicolás Alvear, José M. Saavedra:
Impact of attention mechanisms for organ segmentation in chest x-ray images over U-Net model. Multim. Tools Appl. 83(16): 49261-49283 (2024) - [j10]Tito Arevalo-Ramirez, Analí Alfaro, José M. Saavedra, Matías Recabarren, Mauricio Ponce-Donoso, José Delpiano:
Exploring the Potential of Reconstructed Multispectral Images for Urban Tree Segmentation in Street View Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12112-12122 (2024) - [c21]Lucas Oyarzún, Ivan Sipiran, José M. Saavedra:
Self-distillation for Efficient Object-level Point Cloud Learning. 3DOR (Short Papers) 2024 - 2023
- [j9]Guillermo Martínez, José M. Saavedra, Nils Murrugarra-Llerena:
VETE: improving visual embeddings through text descriptions for eCommerce search engines. Multim. Tools Appl. 82(26): 41343-41379 (2023) - [j8]José M. Saavedra, Javier Morales, Nils Murrugarra-Llerena:
SBIR-BYOL: a self-supervised sketch-based image retrieval model. Neural Comput. Appl. 35(7): 5395-5408 (2023) - 2022
- [c20]Javier Morales, Nils Murrugarra-Llerena, José M. Saavedra:
Leveraging Unlabeled Data for Sketch-based Understanding. CVPR Workshops 2022: 5149-5158 - [c19]Lukas Pavez, José M. Saavedra:
NL-FCOS: Improving FCOS through Non-Local Modules for Object Detection. ICPR 2022: 4651-4657 - [i7]Lukas Pavez, José M. Saavedra Rondo:
NL-FCOS: Improving FCOS through Non-Local Modules for Object Detection. CoRR abs/2203.15638 (2022) - [i6]Javier Morales, Nils Murrugarra-Llerena, José M. Saavedra:
Leveraging Unlabeled Data for Sketch-based Understanding. CoRR abs/2204.12522 (2022) - 2021
- [j7]Andre G. Hochuli, Alceu S. Britto Jr., David A. Saji, José M. Saavedra, Robert Sabourin, Luiz S. Oliveira:
A comprehensive comparison of end-to-end approaches for handwritten digit string recognition. Expert Syst. Appl. 165: 114196 (2021) - [c18]Pablo Torres, José M. Saavedra:
Compact and Effective Representations for Sketch-Based Image Retrieval. CVPR Workshops 2021: 2115-2123 - [c17]Anibal Fuentes, José M. Saavedra:
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-Based Image Retrieval. CVPR Workshops 2021: 2134-2141 - [i5]Andres Baloian, Nils Murrugarra-Llerena, José M. Saavedra:
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet. CoRR abs/2104.00161 (2021) - [i4]Pablo Torres, José M. Saavedra:
Compact and Effective Representations for Sketch-based Image Retrieval. CoRR abs/2104.10278 (2021) - [i3]Anibal Fuentes, José M. Saavedra:
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval. CoRR abs/2104.11130 (2021) - 2020
- [j6]Ignacio Úbeda, José M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Improving pattern spotting in historical documents using feature pyramid networks. Pattern Recognit. Lett. 131: 398-404 (2020) - [i2]Andre G. Hochuli, Alceu S. Britto Jr., David A. Saji, José M. Saavedra, Robert Sabourin, Luiz S. Oliveira:
A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition. CoRR abs/2010.15904 (2020)
2010 – 2019
- 2019
- [c16]Ignacio Úbeda, José M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Pattern Spotting in Historical Documents Using Convolutional Models. HIP@ICDAR 2019: 60-65 - [c15]Fabian Souto Herrera, José M. Saavedra:
DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection. SCCC 2019: 1-8 - [i1]Ignacio Úbeda, José M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Pattern Spotting in Historical Documents Using Convolutional Models. CoRR abs/1906.08580 (2019) - 2017
- [j5]José M. Saavedra:
RST-SHELO: sketch-based image retrieval using sketch tokens and square root normalization. Multim. Tools Appl. 76(1): 931-951 (2017) - [j4]Domingo Mery, Erick Svec, Marco Arias, Vladimir Riffo, José M. Saavedra, Sandipan Banerjee:
Modern Computer Vision Techniques for X-Ray Testing in Baggage Inspection. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 682-692 (2017) - 2015
- [c14]José M. Saavedra, Juan Manuel Barrios:
Sketch based Image Retrieval using Learned KeyShapes (LKS). BMVC 2015: 164.1-164.11 - [c13]Juan Manuel Barrios, José Manuel Saavedra:
Score Propagation Based on Similarity Shot Graph for Improving Visual Object Retrieval. SLAM@ACM Multimedia 2015: 19-22 - [c12]Juan Manuel Barrios, José M. Saavedra, Felipe Ramírez, David Contreras:
ORAND at TRECVID 2015: Instance Search and Video Hyperlinking Tasks. TRECVID 2015 - 2014
- [j3]Violeta Chang, José M. Saavedra, Victor Castañeda, Luis Sarabia, Nancy Hitschfeld, Steffen Härtel:
Gold-standard and improved framework for sperm head segmentation. Comput. Methods Programs Biomed. 117(2): 225-237 (2014) - [j2]Bo Li, Yijuan Lu, Afzal Godil, Tobias Schreck, Benjamin Bustos, Alfredo Ferreira, Takahiko Furuya, Manuel J. Fonseca, Henry Johan, Takahiro Matsuda, Ryutarou Ohbuchi, Pedro B. Pascoal, José M. Saavedra:
A comparison of methods for sketch-based 3D shape retrieval. Comput. Vis. Image Underst. 119: 57-80 (2014) - [j1]José M. Saavedra, Benjamin Bustos:
Sketch-based image retrieval using keyshapes. Multim. Tools Appl. 73(3): 2033-2062 (2014) - [c11]José M. Saavedra:
Handwritten Digit Recognition Based on Pooling SVM-Classifiers Using Orientation and Concavity Based Features. CIARP 2014: 658-665 - [c10]Markus Diem, Stefan Fiel, Florian Kleber, Robert Sablatnig, José M. Saavedra, David Contreras, Juan Manuel Barrios, Luiz S. Oliveira:
ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets (HDSRC 2014). ICFHR 2014: 779-784 - [c9]José M. Saavedra:
Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO). ICIP 2014: 2998-3002 - [c8]Juan Manuel Barrios, José M. Saavedra, Felipe Ramírez, David Contreras:
ORAND at TRECVID 2014: Instance Search and Multimedia Event Detection. TRECVID 2014 - 2013
- [c7]Bo Li, Yijuan Lu, Afzal Godil, Tobias Schreck, Masaki Aono, Henry Johan, José M. Saavedra, Shoki Tashiro:
SHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrieval. 3DOR@Eurographics 2013: 89-96 - [c6]Juan Manuel Barrios, José M. Saavedra, Felipe Ramírez, David Contreras:
ORAND Team: Instance Search and Multimedia Event Detection Using k-NN Searches. TRECVID 2013 - [c5]José M. Saavedra, Benjamin Bustos, Violeta Chang:
An Accurate Hand Segmentation Approach using a Structure based Shape Localization Technique. VISAPP (1) 2013: 321-326 - 2012
- [c4]José M. Saavedra, Benjamin Bustos, Tobias Schreck, Sang Min Yoon, Maximilian Scherer:
Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation. 3DOR@Eurographics 2012: 47-50 - [c3]Bo Li, Tobias Schreck, Afzal Godil, Marc Alexa, Tamy Boubekeur, Benjamin Bustos, J. Chen, Mathias Eitz, Takahiko Furuya, Kristian Hildebrand, S. Huang, Henry Johan, Arjan Kuijper, Ryutarou Ohbuchi, Ronald Richter, José M. Saavedra, Maximilian Scherer, Tomohiro Yanagimachi, Gang-Joon Yoon, Sang Min Yoon:
SHREC'12 Track: Sketch-Based 3D Shape Retrieval. 3DOR@Eurographics 2012: 109-118 - 2011
- [c2]José M. Saavedra, Benjamin Bustos, Maximilian Scherer, Tobias Schreck:
STELA: sketch-based 3D model retrieval using a structure-based local approach. ICMR 2011: 26 - 2010
- [c1]José M. Saavedra, Benjamin Bustos:
An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval. DAGM-Symposium 2010: 432-441
Coauthor Index
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