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09/20/2023
Budget-Aware Pruning: Handling Multiple Domains with Less Parameters
Deep learning has achieved state-of-the-art performance on several compu...
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10/14/2022
Parameter Sharing in Budget-Aware Adapters for Multi-Domain Learning
Deep learning has achieved state-of-the-art performance on several compu...
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06/06/2021
Deep Learning-based Type Identification of Volumetric MRI Sequences
The analysis of Magnetic Resonance Imaging (MRI) sequences enables clini...
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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...
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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...
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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...
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07/30/2020
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images
Deep learning has been successfully applied to several problems related ...
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07/01/2020
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents
The reconstruction of shredded documents consists of coherently arrangin...
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04/23/2020
PolyLaneNet: Lane Estimation via Deep Polynomial Regression
One of the main factors that contributed to the large advances in autono...
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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...
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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...
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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 ...
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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 ...
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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...
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05/15/2019
Budget-Aware Adapters for Multi-Domain Learning
Multi-Domain Learning (MDL) refers to the problem of learning a set of m...
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01/14/2019
Self-Driving Cars: A Survey
We survey research on self-driving cars published in the literature focu...
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10/04/2018
Map Memorization and Forgetting in the IARA Autonomous Car
In this work, we present a novel strategy for correcting imperfections i...
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06/15/2018
Ego-Lane Analysis System (ELAS): Dataset and Algorithms
Decreasing costs of vision sensors and advances in embedded hardware boo...
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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...
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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...
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05/08/2018
Visual Global Localization with a Hybrid WNN-CNN Approach
Currently, self-driving cars rely greatly on the Global Positioning Syst...
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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...
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06/28/2017
