no code implementations • 29 Nov 2023 • Aman Bhatta, Domingo Mery, Haiyu Wu, Kevin W. Bowyer
We show that CRAFT reduces fraction of inactive filters from 44% to 32% on average and discovers filter patterns not found by standard training.
no code implementations • 11 Sep 2023 • Aman Bhatta, Domingo Mery, Haiyu Wu, Joyce Annan, Micheal C. King, Kevin W. Bowyer
We show that such matchers achieve essentially the same accuracy on the grayscale or the color version of a set of test images.
no code implementations • 27 Apr 2023 • Helem Salinas, Karim Pichara, Rafael Brahm, Francisco Pérez-Galarce, Domingo Mery
Models, such as the Transformer architecture, were recently proposed for sequential data with successful results.
1 code implementation • 12 Mar 2023 • Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelan, Domingo Mery
Consequently, we propose a scalable and easily adaptable approach based on an informative regularization and an ad-hoc training procedure to mitigate the shift problem during the training of a multi-layer perceptron for RR Lyrae classification.
no code implementations • 20 Dec 2019 • Vítor Albiero, Nisha Srinivas, Esteban Villalobos, Jorge Perez-Facuse, Roberto Rosenthal, Domingo Mery, Karl Ricanek, Kevin W. Bowyer
Matching live images (``selfies'') to images from ID documents is a problem that can arise in various applications.
no code implementations • 27 Nov 2019 • Domingo Mery, Florencia Valdes
Given an image collection of a social event with a huge number of pictures, it is very useful to have tools that can be used to analyze how the individuals --that are present in the collection-- interact with each other.
no code implementations • NDT & E International 2019 • Domingo Mery
We believe that the proposed approach opens new possibilities in the field of automated detection of welding defects
no code implementations • 29 May 2018 • Pei Li, Loreto Prieto, Domingo Mery, Patrick Flynn
Although face recognition systems have achieved impressive performance in recent years, the low-resolution face recognition (LRFR) task remains challenging, especially when the LR faces are captured under non-ideal conditions, as is common in surveillance-based applications.
no code implementations • 29 May 2018 • Pei Li, Loreto Prieto, Domingo Mery, Patrick Flynn
Its applications lie widely in the real-world environment when high-resolution or high-quality images are hard to capture.
1 code implementation • 11 Apr 2018 • James Kapaldo, Xu Han, Domingo Mery
Locating the center of convex objects is important in both image processing and unsupervised machine learning/data clustering fields.
no code implementations • 22 Jun 2017 • Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation.
no code implementations • CVPR 2016 • Anali Alfaro, Domingo Mery, Alvaro Soto
In terms of the method to obtain key-sequences, we introduce a loss function that, for each video, leads to the identification of a sparse set of representative key-frames capturing both, relevant particularities arising in the input video, as well as relevant generalities arising in the complete class collection.