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09/08/2023
Leveraging Model Fusion for Improved License Plate Recognition
License Plate Recognition (LPR) plays a critical role in various applica...
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05/27/2023
Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers
Recent years have seen significant developments in the field of License ...
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04/10/2023
Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition
This work draws attention to the large fraction of near-duplicates in th...
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03/10/2023
DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem
Due to the COVID-19 global pandemic, computer-assisted diagnoses of medi...
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10/30/2022
Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution
The License Plate Recognition (LPR) field has made impressive advances i...
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09/24/2022
Face Super-Resolution Using Stochastic Differential Equations
Diffusion models have proven effective for various applications such as ...
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09/24/2022
Global Semantic Descriptors for Zero-Shot Action Recognition
The success of Zero-shot Action Recognition (ZSAR) methods is intrinsica...
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08/23/2022
A First Look at Dataset Bias in License Plate Recognition
Public datasets have played a key role in advancing the state of the art...
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01/08/2022
Image-based Automatic Dial Meter Reading in Unconstrained Scenarios
The replacement of analog meters with smart meters is costly, laborious,...
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01/02/2022
On the Cross-dataset Generalization in License Plate Recognition
Automatic License Plate Recognition (ALPR) systems have shown remarkable...
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12/18/2021
Tell me what you see: A zero-shot action recognition method based on natural language descriptions
Recently, several approaches have explored the detection and classificat...
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12/15/2021
Dense Video Captioning Using Unsupervised Semantic Information
We introduce a method to learn unsupervised semantic visual information ...
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11/24/2020
UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios
Recently, ocular biometrics in unconstrained environments using images o...
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10/30/2020
Automatic Counting and Identification of Train Wagons Based on Computer Vision and Deep Learning
In this work, we present a robust and efficient solution for counting an...
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09/21/2020
Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach
Existing approaches for image-based Automatic Meter Reading (AMR) have b...
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05/06/2020
Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines
Smart meters enable remote and automatic electricity, water and gas cons...
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11/21/2019
Ocular Recognition Databases and Competitions: A Survey
The use of the iris and periocular region as biometric traits has been e...
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11/13/2019
Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks
This work addresses the problem of vehicle re-identification through a n...
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09/04/2019
An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector
In this paper, we present an efficient and layout-independent Automatic ...
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07/31/2019
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
In this work, we propose to detect the iris and periocular regions simul...
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02/25/2019
Convolutional Neural Networks for Automatic Meter Reading
In this paper, we tackle Automatic Meter Reading (AMR) by leveraging the...
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09/04/2018
Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks
The iris can be considered as one of the most important biometric traits...
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08/29/2018
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
The use of iris as a biometric trait is widely used because of its high ...
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06/22/2018
Fully Convolutional Networks and Generative Neural Networks Applied to Sclera Segmentation
Due to the world's demand for security systems, biometrics can be seen a...
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06/22/2018
Fully Connected Networks and Generative Neural Networks Applied to Sclera Segmentation
Due to the world's demand for security systems, biometrics can be seen a...
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03/03/2018
A Benchmark for Iris Location and a Deep Learning Detector Evaluation
The iris is considered as the biometric trait with the highest unique pr...
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02/26/2018