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20182026
most citedParallax Motion Effect Generation Through Instance Segmentation And Depth Estimation

7 citations · 7 across the 4 of their papers we have counts for

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cs.CV2021

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…

cs.CV2021

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020★ 7 cited

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…

cs.CV2020

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…