research
∙
06/06/2021
Deep Learning-based Type Identification of Volumetric MRI Sequences
The analysis of Magnetic Resonance Imaging (MRI) sequences enables clini...
share
research
∙
01/21/2021
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models?
Convolutional neural networks have been successful lately enabling compa...
research
∙
11/07/2020
Deep traffic light detection by overlaying synthetic context on arbitrary natural images
Deep neural networks come as an effective solution to many problems asso...
research
∙
10/22/2020
Keep your Eyes on the Lane: Attention-guided Lane Detection
Modern lane detection methods have achieved remarkable performances in c...
research
∙
09/19/2020
What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment
The localization of self-driving cars is needed for several tasks such a...
research
∙
07/30/2020
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images
Deep learning has been successfully applied to several problems related ...
research
∙
07/01/2020
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents
The reconstruction of shredded documents consists of coherently arrangin...
research
∙
04/23/2020
PolyLaneNet: Lane Estimation via Deep Polynomial Regression
One of the main factors that contributed to the large advances in autono...
research
∙
03/23/2020
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning
The reconstruction of shredded documents consists in arranging the piece...
research
∙
10/02/2019
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks
We propose a bio-inspired foveated technique to detect cars in a long ra...
research
∙
07/23/2019
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
Deep learning has been successfully applied to several problems related ...
research
∙
07/19/2019
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
Deep learning techniques have enabled the emergence of state-of-the-art ...
research
∙
06/04/2019
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars
Autonomous terrestrial vehicles must be capable of perceiving traffic li...
research
∙
10/04/2018
Map Memorization and Forgetting in the IARA Autonomous Car
In this work, we present a novel strategy for correcting imperfections i...
research
∙
06/15/2018
Ego-Lane Analysis System (ELAS): Dataset and Algorithms
Decreasing costs of vision sensors and advances in embedded hardware boo...
research
∙
06/14/2018
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
In the past few years, Convolutional Neural Networks (CNNs) have been ac...
research
∙
05/30/2018
Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach
Correctly identifying crosswalks is an essential task for the driving ac...
research
∙
05/08/2018
Visual Global Localization with a Hybrid WNN-CNN Approach
Currently, self-driving cars rely greatly on the Global Positioning Syst...
research
∙
04/27/2018
Mapping Road Lanes Using Laser Remission and Deep Neural Networks
We propose the use of deep neural networks (DNN) for solving the problem...
research
∙
06/28/2017
Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification
High-resolution satellite imagery have been increasingly used on remote ...
research
∙
09/03/2015
