An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval. - José M. Saavedra; Benjamin Bustos (DAGM-Symposium, 2010)

STELA: sketch-based 3D model retrieval using a structure-based local approach. - José M. Saavedra; Benjamin Bustos; Maximilian Scherer; Tobias Schreck (ICMR, 2011)

SHREC'12 Track: Sketch-Based 3D Shape Retrieval. - Bo Li 013; Tobias Schreck; Afzal Godil; Marc Alexa; Tamy Boubekeur; Benjamin Bustos; J. Chen; Mathias Eitz; Takahiko Furuya; Kristian Hildebrand; S. Huang; Henry Johan; et al. (3DOR@Eurographics, 2012)

Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation. - José M. Saavedra; Benjamin Bustos; Tobias Schreck; Sang Min Yoon; Maximilian Scherer (3DOR@Eurographics, 2012)

SHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrieval. - Bo Li 013; Yijuan Lu; Afzal Godil; Tobias Schreck; Masaki Aono; Henry Johan; José M. Saavedra; Shoki Tashiro (3DOR@Eurographics, 2013)

ORAND Team: Instance Search and Multimedia Event Detection Using k-NN Searches. - Juan Manuel Barrios; José M. Saavedra; Felipe Ramírez; David Contreras (TRECVID, 2013)

An Accurate Hand Segmentation Approach using a Structure based Shape Localization Technique. - José M. Saavedra; Benjamin Bustos; Violeta Chang (VISAPP (1), 2013)

Handwritten Digit Recognition Based on Pooling SVM-Classifiers Using Orientation and Concavity Based Features. - José M. Saavedra (CIARP, 2014)

ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets (HDSRC 2014). - Markus Diem; Stefan Fiel; Florian Kleber; Robert Sablatnig; José M. Saavedra; David Contreras; Juan Manuel Barrios; Luiz S. Oliveira (ICFHR, 2014)

Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO). - José M. Saavedra (ICIP, 2014)

ORAND at TRECVID 2014: Instance Search and Multimedia Event Detection. - Juan Manuel Barrios; José M. Saavedra; Felipe Ramírez; David Contreras (TRECVID, 2014)

Gold-standard and improved framework for sperm head segmentation. - Violeta Chang; José M. Saavedra; Victor Castañeda; Luis Sarabia; Nancy Hitschfeld; Steffen Härtel (Comput. Methods Programs Biomed., 2014)

A comparison of methods for sketch-based 3D shape retrieval. - Bo Li 013; Yijuan Lu; Afzal Godil; Tobias Schreck; Benjamin Bustos; Alfredo Ferreira; Takahiko Furuya; Manuel J. Fonseca; Henry Johan; Takahiro Matsuda 003; Ryutarou Ohbuchi; Pedro B. Pascoal; et al. (Comput. Vis. Image Underst., 2014)

Sketch-based image retrieval using keyshapes. - José M. Saavedra; Benjamin Bustos (Multim. Tools Appl., 2014)

Sketch based Image Retrieval using Learned KeyShapes (LKS). - José M. Saavedra; Juan Manuel Barrios (BMVC, 2015)

Score Propagation Based on Similarity Shot Graph for Improving Visual Object Retrieval. - Juan Manuel Barrios; José Manuel Saavedra (SLAM@ACM Multimedia, 2015)

ORAND at TRECVID 2015: Instance Search and Video Hyperlinking Tasks. - Juan Manuel Barrios; José M. Saavedra; Felipe Ramírez; David Contreras (TRECVID, 2015)

RST-SHELO: sketch-based image retrieval using sketch tokens and square root normalization. - José M. Saavedra (Multim. Tools Appl., 2017)

Modern Computer Vision Techniques for X-Ray Testing in Baggage Inspection. - Domingo Mery; Erick Svec; Marco Arias; Vladimir Riffo; José M. Saavedra; Sandipan Banerjee (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Pattern Spotting in Historical Documents Using Convolutional Models. - Ignacio Úbeda; José M. Saavedra; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (HIP@ICDAR, 2019)

DLDENet: Deep Local Directional Embeddings with Increased Foreground Focal Loss for object detection. - Fabian Souto Herrera; José M. Saavedra (SCCC, 2019)

Improving pattern spotting in historical documents using feature pyramid networks. - Ignacio Úbeda; José M. Saavedra; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (Pattern Recognit. Lett., 2020)

Sketch-QNet: A Quadruplet ConvNet for Color Sketch-Based Image Retrieval. - Anibal Fuentes; José M. Saavedra (CVPR Workshops, 2021)

Compact and Effective Representations for Sketch-Based Image Retrieval. - Pablo Torres; José M. Saavedra (CVPR Workshops, 2021)

Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet. - Andres Baloian; Nils Murrugarra-Llerena; José M. Saavedra (CoRR, 2021)

A comprehensive comparison of end-to-end approaches for handwritten digit string recognition. - Andre G. Hochuli; Alceu S. Britto Jr.; David A. Saji; José M. Saavedra; Robert Sabourin; Luiz S. Oliveira (Expert Syst. Appl., 2021)

Leveraging Unlabeled Data for Sketch-based Understanding. - Javier Morales; Nils Murrugarra-Llerena; José M. Saavedra (CVPR Workshops, 2022)

NL-FCOS: Improving FCOS through Non-Local Modules for Object Detection. - Lukas Pavez; José M. Saavedra (ICPR, 2022)

SBIR-BYOL: a self-supervised sketch-based image retrieval model. - José M. Saavedra; Javier Morales; Nils Murrugarra-Llerena (Neural Comput. Appl., 2023)

VETE: improving visual embeddings through text descriptions for eCommerce search engines. - Guillermo Martínez; José M. Saavedra; Nils Murrugarra-Llerena (Multim. Tools Appl., 2023)

Self-distillation for Efficient Object-level Point Cloud Learning. - Lucas Oyarzún; Ivan Sipiran; José M. Saavedra (3DOR (Short Papers), 2024)

Exploring the Potential of Reconstructed Multispectral Images for Urban Tree Segmentation in Street View Images. - Tito Arevalo-Ramirez; Analí Alfaro; José M. Saavedra; Matías Recabarren; Mauricio Ponce-Donoso; José Delpiano (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Survey on Sketch-to-photo Translation. - Diego Donoso; José M. Saavedra (ACM Comput. Surv., 2024)

Impact of attention mechanisms for organ segmentation in chest x-ray images over U-Net model. - Tomás de la Sotta; Violeta Chang; Benjamín Pizarro; Héctor Henriquez; Nicolás Alvear; José M. Saavedra (Multim. Tools Appl., 2024)

Transferring between sports: the case of Icelandic youth sport. - Peter O' Donoghue; Markus Mani Maute; Kristján Valur Jóhannsson; Sveinn Þorgeirsson; Hafrún Kristjánsdóttir; José M. Saavedra; Hjalti Rúnar Oddsson (Int. J. Comput. Sci. Sport, 2025)

Achieving high performance on sketch-based image retrieval without real sketches for training. - José M. Saavedra; Christopher Stears; Waldo Campos (Pattern Recognit. Lett., 2025)

A study on self-supervised sketch-based image retrieval on unpaired data (S3BIR). - Waldo Campos; José M. Saavedra; Christopher Stears (Neural Comput. Appl., 2025)