487 citations · 655 across the 12 of their papers we have counts for
16 papers
The In-Car Sign Language Corpus (ICSL): A Multi-Modal Resource for Constrained-Space Sign Language Recognition
Raviteja Boddu, Guilherme Vieira Leite, Joed Lopes da Silva +9
This paper addresses the challenges of using sign language within shared mobility services, such as taxis, carpools, or ride-sharing platforms. The use of sign language recognition…
Single Image Super-Resolution Based on Capsule Neural Networks
George Corrêa de Araújo, Helio Pedrini
Single image super-resolution (SISR) is the process of obtaining one high-resolution version of a low-resolution image by increasing the number of pixels per unit area. This method…
Tell me what you see: A zero-shot action recognition method based on natural language descriptions
Valter Estevam, Rayson Laroca, David Menotti +1
This paper presents a novel approach to Zero-Shot Action Recognition. Recent works have explored the detection and classification of objects to obtain semantic information from vid…
Dense Video Captioning Using Unsupervised Semantic Information
Valter Estevam, Rayson Laroca, Helio Pedrini +1
We introduce a method to learn unsupervised semantic visual information based on the premise that complex events can be decomposed into simpler events and that these simple events…
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
Edson Bollis, Helena Maia, Helio Pedrini +1
Citrus juices and fruits are commodities with great economic potential in the international market, but productivity losses caused by mites and other pests are still far from being…
On the Effect of Pruning on Adversarial Robustness
Artur Jordao, Helio Pedrini
Pruning is a well-known mechanism for reducing the computational cost of deep convolutional networks. However, studies have shown the potential of pruning as a form of regularizati…
AttributeNet: Attribute Enhanced Vehicle Re-Identification
Rodolfo Quispe, Cuiling Lan, Wenjun Zeng +1
Vehicle Re-Identification (V-ReID) is a critical task that associates the same vehicle across images from different camera viewpoints. Many works explore attribute clues to enhance…
Improving Makeup Face Verification by Exploring Part-Based Representations
Marcus de Assis Angeloni, Helio Pedrini
Recently, we have seen an increase in the global facial recognition market size. Despite significant advances in face recognition technology with the adoption of convolutional neur…
Adaptive Multiplane Image Generation from a Single Internet Picture
Diogo C. Luvizon, Gustavo Sutter P. Carvalho, Andreza A. dos Santos +7
In the last few years, several works have tackled the problem of novel view synthesis from stereo images or even from a single picture. However, previous methods are computationall…
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
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. Due to the various extreme changes o…
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation
Allan Pinto, Manuel A. Córdova, Luis G. L. Decker +8
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 vi…
Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
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. In m…
Multi-Stream Networks and Ground-Truth Generation for Crowd Counting
Rodolfo Quispe, Darwin Ttito, Adín Ramírez Rivera +1
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. In…
Zero-Shot Action Recognition in Videos: A Survey
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. T…
Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models
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 fro…
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
David Menotti, Giovani Chiachia, Allan Pinto +4
Biometrics systems have significantly improved person identification and authentication, playing an important role in personal, national, and global security. However, these system…