Matías Di Martino

According to our database, Matías Di Martino authored at least 30 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generalizing Neural Additive Models via Statistical Multimodal Analysis.

Young-Kyung Kim, J. Matías Di Martino, Guillermo Sapiro

Trans. Mach. Learn. Res., 2024

MAgro dataset: A dataset for simultaneous localization and mapping in agricultural environments.

Mercedes Marzoa Tanco, Guillermo Trinidad Barnech, Federico Andrade, Javier Baliosian, Martin Llofriu, J. Matías Di Martino, Gonzalo Tejera

Int. J. Robotics Res., 2024

Vision Transformers with Natural Language Semantics.

Young-Kyung Kim, J. Matías Di Martino, Guillermo Sapiro

CoRR, 2024

Scalp surface estimation and head registration using sparse sampling and 3D statistical models.

Oded Schlesinger, Raj Kundu, Dmitry Isaev, Jessica Y. Choi, Stefan M. Goetz, Dennis A. Turner, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino

Comput. Biol. Medicine, 2024

Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD.

Vikram Aikat, Pradeep Raj Krishnappa Babu, Kimberly L. H. Carpenter, J. Matías Di Martino, Steven Espinosa, Naomi Davis, Lauren Franz, Marina Spanos, Geraldine Dawson, Guillermo Sapiro

Proceedings of the Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Large-scale Validation of a Scalable and Portable Behavioral Digital Screening Tool for Autism at Home.

Pradeep Raj Krishnappa Babu, J. Matías Di Martino, Kimberly L. H. Carpenter, Scott Compton, Naomi Davis, Brian Eichner, Steven Espinosa, Lauren Franz, Sam Perochon, Geraldine Dawson, Guillermo Sapiro

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder.

Pradeep Raj Krishnappa Babu, J. Matías Di Martino, Zhuoqing Chang, Sam Perochon, Kimberly L. H. Carpenter, Scott Compton, Steven Espinosa, Geraldine Dawson, Guillermo Sapiro

IEEE Trans. Affect. Comput., 2023

A tablet-based game for the assessment of visual motor skills in autistic children.

Sam Perochon, J. Matías Di Martino, Kimberly L. H. Carpenter, Scott Compton, Naomi Davis, Steven Espinosa, Lauren Franz, Amber D. Rieder, Connor Sullivan, Guillermo Sapiro, Geraldine Dawson

npj Digit. Medicine, 2023

NILMEV: Electric Vehicle disaggregation for residential customer energy efficiency incentives.

Camilo Mariño, Guillermo Cossio, Pablo Massaferro, Matías Di Martino, Alvaro Gómez, Alicia Fernández

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors.

Oded Schlesinger, Raj Kundu, Stefan M. Goetz, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Fraud Detection on Power Grids While Transitioning to Smart Meters by Leveraging Multi-Resolution Consumption Data.

Pablo Massaferro, J. Matías Di Martino, Alicia Fernández

IEEE Trans. Smart Grid, 2022

Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery.

Usamah N. Chaudhary, Cambre N. Kelly, Benjamin R. Wesorick, Cameron M. Reese, Ken Gall, Samuel B. Adams, Guillermo Sapiro, J. Matías Di Martino

Int. J. Comput. Assist. Radiol. Surg., 2022

2021

Rethinking Shape From Shading for Spoofing Detection.

J. Matías Di Martino, Qiang Qiu, Guillermo Sapiro

IEEE Trans. Image Process., 2021

NTL Detection: Overview of Classic and DNN-based Approaches on a Labeled Dataset of 311k Customers.

Pablo Massaferro, J. Matías Di Martino, Alicia Fernández

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Nested Learning for Multi-Level Classification.

Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method.

J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Nested Learning For Multi-Granular Tasks.

Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro

CoRR, 2020

2019

SalGaze: Personalizing Gaze Estimation using Visual Saliency.

Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

An Analysis and Implementation of Multigrid Poisson Solvers With Verified Linear Complexity.

Matías Di Martino, Gabriele Facciolo

Image Process. Line, 2018

Liveness Detection Using Implicit 3D Features.

J. Matías Di Martino, Qiang Qiu, Trishul Nagenalli, Guillermo Sapiro

CoRR, 2018

Computer Vision based System for Apple Detection in Crops.

Mercedes Marzoa Tanco, Gonzalo Tejera, Matías Di Martino

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

2016

Poisson Image Editing.

J. Matías Di Martino, Gabriele Facciolo, Enric Meinhardt-Llopis

Image Process. Line, 2016

An optimal multiclass classifier design.

Marcelo Fiori, Matías Di Martino, Alicia Fernández

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Optimal and Linear F-Measure Classifiers Applied to Non-technical Losses Detection.

Fernanda Rodríguez, Matías Di Martino, Juan Pablo Kosut, Fernando Santomauro, Federico Lecumberry, Alicia Fernández

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Automatic Eyes and Nose Detection Using Curvature Analysis.

J. Matías Di Martino, Alicia Fernández, José A. Ferrari

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

One-Shot 3D-Gradient Method Applied to Face Recognition.

Matías Di Martino, Alicia Fernández, José A. Ferrari

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

3D curvature analysis with a novel one-shot technique.

Matías Di Martino, Alicia Fernández, José A. Ferrari

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Novel classifier scheme for imbalanced problems.

Matías Di Martino, Alicia Fernández, Pablo A. Iturralde, Federico Lecumberry

Pattern Recognit. Lett., 2013

A new framework for optimal classifier design.

Matías Di Martino, Guzmán Hernández, Marcelo Fiori, Alicia Fernández

Pattern Recognit., 2013

2012

Improving Electric Fraud Detection using Class Imbalance Strategies.

Matías Di Martino, Federico Decia, Juan Molinelli, Alicia Fernández

Proceedings of the ICPRAM 2012, 2012