1 code implementation • 20 Oct 2023 • Gabriel Oliveira dos Santos, Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva, Luiz Pereira, Pedro Bueno, Thiago Sousa, Helena Maia, Nádia Da Silva, Esther Colombini, Helio Pedrini, Sandra Avila
This work introduces CAPIVARA, a cost-efficient framework designed to enhance the performance of multilingual CLIP models in low-resource languages.
no code implementations • 3 Oct 2023 • Bruno Souza, Marius Aasan, Helio Pedrini, Adín Ramírez Rivera
Scene graphs (SGs) have emerged as a useful tool for multimodal image analysis, showing impressive performance in tasks such as Visual Question Answering (VQA).
1 code implementation • 1 Oct 2023 • Thalles Santos Silva, Helio Pedrini, Adín Ramírez Rivera
We present Contextualized Local Visual Embeddings (CLoVE), a self-supervised convolutional-based method that learns representations suited for dense prediction tasks.
no code implementations • 21 May 2023 • Lucas David, Helio Pedrini, Zanoni Dias
Weakly Supervised Semantic Segmentation (WSSS) techniques explore individual regularization strategies to refine Class Activation Maps (CAMs).
1 code implementation • 19 Mar 2023 • Igor Kenzo Ishikawa Oshiro Nakashima, Giovanna Vendramini, Helio Pedrini
Convolutional neural networks have been widely used to detect pneumonia caused by COVID-19 in lung images.
1 code implementation • 25 Jan 2023 • Artur Jordao, George Correa de Araujo, Helena de Almeida Maia, Helio Pedrini
In this work, we investigate LTH and pruning at initialization from the lens of layer pruning.
1 code implementation • 6 Oct 2022 • George Corrêa de Araújo, Helio Pedrini
Our network achieved good results with fewer convolutional-based layers, showing that capsules might be a concept worth applying in the image super-resolution problem.
1 code implementation • 24 Sep 2022 • Valter Estevam, Rayson Laroca, Helio Pedrini, David Menotti
This work introduces a new ZSAR method based on the relationships of actions-objects and actions-descriptive sentences.
2 code implementations • arXiv 2022 • Alexandre Lopes, Roberto Souza, Helio Pedrini
RGB-D data is essential for solving many problems in computer vision.
1 code implementation • 18 Dec 2021 • Valter Estevam, Rayson Laroca, David Menotti, Helio Pedrini
To the best of our knowledge, this is the first work to represent both videos and labels with descriptive sentences.
1 code implementation • 15 Dec 2021 • Valter Estevam, Rayson Laroca, Helio Pedrini, David Menotti
We introduce a method to learn unsupervised semantic visual information based on the premise that complex events (e. g., minutes) can be decomposed into simpler events (e. g., a few seconds), and that these simple events are shared across several complex events.
no code implementations • 2 Oct 2021 • Edson Bollis, Helena Maia, Helio Pedrini, Sandra Avila
Despite the integrated pest mechanical aspect, only a few works on automatic classification have handled images with orange mite characteristics, which means tiny and noisy regions of interest.
no code implementations • 10 Aug 2021 • Artur Jordao, Helio Pedrini
However, studies have shown the potential of pruning as a form of regularization, which reduces overfitting and improves generalization.
no code implementations • 7 Feb 2021 • Rodolfo Quispe, Cuiling Lan, Wenjun Zeng, Helio Pedrini
Vehicle Re-Identification (V-ReID) is a critical task that associates the same vehicle across images from different camera viewpoints.
Ranked #1 on Vehicle Re-Identification on VeRi-Wild Large
no code implementations • 18 Jan 2021 • Marcus de Assis Angeloni, Helio Pedrini
Recently, we have seen an increase in the global facial recognition market size.
no code implementations • 26 Nov 2020 • Diogo C. Luvizon, Gustavo Sutter P. Carvalho, Andreza A. dos Santos, Jhonatas S. Conceicao, Jose L. Flores-Campana, Luis G. L. Decker, Marcos R. Souza, Helio Pedrini, Antonio Joia, Otavio A. B. Penatti
We present a new lightweight CNN for depth estimation, which is learned by knowledge distillation from a larger network.
1 code implementation • 12 Oct 2020 • Rodolfo Quispe, Helio Pedrini
Person Re-Identification is a challenging task that aims to retrieve all instances of a query image across a system of non-overlapping cameras.
Ranked #1 on Person Re-Identification on CUHK03 detected
no code implementations • 6 Oct 2020 • Allan Pinto, Manuel A. Córdova, Luis G. L. Decker, Jose L. Flores-Campana, Marcos R. Souza, Andreza A. dos Santos, Jhonatas S. Conceição, Henrique F. Gagliardi, Diogo C. Luvizon, Ricardo da S. Torres, Helio Pedrini
Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for the development of modern solutions, such as virtual and augmented reality applications.
1 code implementation • WMT (EMNLP) 2020 • Alexandre Lopes, Rodrigo Nogueira, Roberto Lotufo, Helio Pedrini
Despite the widespread adoption of deep learning for machine translation, it is still expensive to develop high-quality translation models.
2 code implementations • 22 Apr 2020 • Edson Bollis, Helio Pedrini, Sandra Avila
Pests and diseases are relevant factors for production losses in agriculture and, therefore, promote a huge investment in the prevention and detection of its causative agents.
1 code implementation • 23 Feb 2020 • Rodolfo Quispe, Darwin Ttito, Adín Ramírez Rivera, Helio Pedrini
Crowd scene analysis has received a lot of attention recently due to the wide variety of applications, for instance, forensic science, urban planning, surveillance and security.
1 code implementation • SMC 2019 • Eldrey Galindo, Helio Pedrini
As well as in other knowledge domains, deep learning techniques have revolutionized the development of image super-resolution approaches.
no code implementations • 13 Sep 2019 • Valter Estevam, Helio Pedrini, David Menotti
Zero-Shot Action Recognition has attracted attention in the last years and many approaches have been proposed for recognition of objects, events and actions in images and videos.
Action Recognition In Still Images Action Recognition In Videos +2
1 code implementation • 15 Jul 2018 • Rodolfo Quispe, Helio Pedrini
Given a video or an image of a person acquired from a camera, person re-identification is the process of retrieving all instances of the same person from videos or images taken from a different camera with non-overlapping view.
Ranked #25 on Person Re-Identification on DukeMTMC-reID
no code implementations • 8 Oct 2014 • David Menotti, Giovani Chiachia, Allan Pinto, William Robson Schwartz, Helio Pedrini, Alexandre Xavier Falcao, Anderson Rocha
We assume a very limited knowledge about biometric spoofing at the sensor to derive outstanding spoofing detection systems for iris, face, and fingerprint modalities based on two deep learning approaches.