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ORCIDMatías Di Martino
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2020 – today
- 2024
[j13]Oded Schlesinger
, Raj Kundu, Dmitry Isaev, Jessica Y. Choi, Stefan M. Goetz, Dennis A. Turner, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino:
Scalp surface estimation and head registration using sparse sampling and 3D statistical models. Comput. Biol. Medicine 178: 108689 (2024)- [j12]Mercedes Marzoa Tanco, Guillermo Trinidad Barnech, Federico Andrade, Javier Baliosian, Martin Llofriu, J. Matías Di Martino, Gonzalo Tejera:
MAgro dataset: A dataset for simultaneous localization and mapping in agricultural environments. Int. J. Robotics Res. 43(5): 591-601 (2024) - [j11]Young-Kyung Kim, J. Matías Di Martino, Guillermo Sapiro:
Generalizing Neural Additive Models via Statistical Multimodal Analysis. Trans. Mach. Learn. Res. 2024 (2024) - [c14]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:
Large-scale Validation of a Scalable and Portable Behavioral Digital Screening Tool for Autism at Home. CHI Extended Abstracts 2024: 220:1-220:7 - [c13]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:
Digital Phenotyping based on a Mobile App Identifies Distinct and Overlapping Features in Children Diagnosed with Autism versus ADHD. UIST (Adjunct Volume) 2024: 111:1-111:4 - [i6]Young-Kyung Kim, J. Matías Di Martino, Guillermo Sapiro:
Vision Transformers with Natural Language Semantics. CoRR abs/2402.17863 (2024) - 2023
- [j10]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:
A tablet-based game for the assessment of visual motor skills in autistic children. npj Digit. Medicine 6 (2023) - [j9]Pradeep Raj Krishnappa Babu, J. Matías Di Martino, Zhuoqing Chang, Sam Perochon, Kimberly L. H. Carpenter, Scott Compton, Steven Espinosa, Geraldine Dawson, Guillermo Sapiro:
Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder. IEEE Trans. Affect. Comput. 14(2): 919-930 (2023) - [c12]Oded Schlesinger, Raj Kundu, Stefan M. Goetz, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino:
Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors. CLIP/FAIMI/EPIMI@MICCAI 2023: 12-20 - [c11]Camilo Mariño, Guillermo Cossio, Pablo Massaferro, Matías Di Martino, Alvaro Gómez, Alicia Fernández:
NILMEV: Electric Vehicle disaggregation for residential customer energy efficiency incentives. ISGT 2023: 1-5 - 2022
- [j8]Usamah N. Chaudhary, Cambre N. Kelly, Benjamin R. Wesorick, Cameron M. Reese, Ken Gall, Samuel B. Adams, Guillermo Sapiro, J. Matías Di Martino:
Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery. Int. J. Comput. Assist. Radiol. Surg. 17(3): 541-551 (2022) - [j7]Pablo Massaferro, J. Matías Di Martino, Alicia Fernández:
Fraud Detection on Power Grids While Transitioning to Smart Meters by Leveraging Multi-Resolution Consumption Data. IEEE Trans. Smart Grid 13(3): 2381-2389 (2022) - 2021
- [j6]J. Matías Di Martino, Qiang Qiu, Guillermo Sapiro:
Rethinking Shape From Shading for Spoofing Detection. IEEE Trans. Image Process. 30: 1086-1099 (2021) - [c10]Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro:
Nested Learning for Multi-Level Classification. ICASSP 2021: 2815-2819 - [c9]Pablo Massaferro, J. Matías Di Martino, Alicia Fernández:
NTL Detection: Overview of Classic and DNN-based Approaches on a Labeled Dataset of 311k Customers. ISGT 2021: 1-5 - 2020
- [j5]J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1582-1593 (2020) - [i5]J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. CoRR abs/2004.03385 (2020) - [i4]Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro:
Nested Learning For Multi-Granular Tasks. CoRR abs/2007.06402 (2020)
2010 – 2019
- 2019
- [c8]Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation using Visual Saliency. ICCV Workshops 2019: 1169-1178 - [i3]Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation Using Visual Saliency. CoRR abs/1910.10603 (2019) - 2018
- [j4]Matías Di Martino, Gabriele Facciolo:
An Analysis and Implementation of Multigrid Poisson Solvers With Verified Linear Complexity. Image Process. Line 8: 192-218 (2018) - [c7]Mercedes Marzoa Tanco, Gonzalo Tejera, Matías Di Martino:
Computer Vision based System for Apple Detection in Crops. VISIGRAPP (4: VISAPP) 2018: 239-249 - [i2]J. Matías Di Martino, Qiang Qiu, Trishul Nagenalli, Guillermo Sapiro:
Liveness Detection Using Implicit 3D Features. CoRR abs/1804.06702 (2018) - 2016
- [j3]J. Matías Di Martino, Gabriele Facciolo, Enric Meinhardt-Llopis:
Poisson Image Editing. Image Process. Line 6: 300-325 (2016) - [c6]Marcelo Fiori, Matías Di Martino, Alicia Fernández:
An optimal multiclass classifier design. ICPR 2016: 480-485 - 2015
- [c5]Fernanda Rodríguez, Matías Di Martino, Juan Pablo Kosut, Fernando Santomauro, Federico Lecumberry, Alicia Fernández:
Optimal and Linear F-Measure Classifiers Applied to Non-technical Losses Detection. CIARP 2015: 83-91 - [c4]Matías Di Martino, Alicia Fernández, José A. Ferrari:
One-Shot 3D-Gradient Method Applied to Face Recognition. CIARP 2015: 176-183 - [c3]J. Matías Di Martino, Alicia Fernández, José A. Ferrari:
Automatic Eyes and Nose Detection Using Curvature Analysis. CIARP 2015: 271-278 - 2014
- [c2]Matías Di Martino, Alicia Fernández, José A. Ferrari:
3D curvature analysis with a novel one-shot technique. ICIP 2014: 3818-3822 - 2013
- [j2]Matías Di Martino, Guzmán Hernández, Marcelo Fiori, Alicia Fernández:
A new framework for optimal classifier design. Pattern Recognit. 46(8): 2249-2255 (2013) - [j1]Matías Di Martino, Alicia Fernández, Pablo A. Iturralde, Federico Lecumberry:
Novel classifier scheme for imbalanced problems. Pattern Recognit. Lett. 34(10): 1146-1151 (2013) - [i1]Matías Di Martino, Guzmán Hernández, Marcelo Fiori, Alicia Fernández:
A new framework for optimal classifier design. CoRR abs/1305.1396 (2013) - 2012
- [c1]Matías Di Martino, Federico Decia, Juan Molinelli, Alicia Fernández:
Improving Electric Fraud Detection using Class Imbalance Strategies. ICPRAM (2) 2012: 135-141
Coauthor Index
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last updated on 2024-10-23 20:31 CEST by the dblp team
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