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Author Low S., Inkawhich N., Nina O., Sappa A. and Blasch E. pdf  url
openurl 
  Title (up) Multi-modal Aerial View Object Classification Challenge Results-PBVS 2022. Type Conference Article
  Year 2022 Publication Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. Abbreviated Journal CONFERENCE  
  Volume 2022-June Issue Pages 417-425  
  Keywords  
  Abstract This paper details the results and main findings of the

second iteration of the Multi-modal Aerial View Object

Classification (MAVOC) challenge. This year’s MAVOC

challenge is the second iteration. The primary goal of

both MAVOC challenges is to inspire research into methods for building recognition models that utilize both synthetic aperture radar (SAR) and electro-optical (EO) input

modalities. Teams are encouraged/challenged to develop

multi-modal approaches that incorporate complementary

information from both domains. While the 2021 challenge

showed a proof of concept that both modalities could be

used together, the 2022 challenge focuses on the detailed

multi-modal models. Using the same UNIfied COincident

Optical and Radar for recognitioN (UNICORN) dataset and

competition format that was used in 2021. Specifically, the

challenge focuses on two techniques, (1) SAR classification

and (2) SAR + EO classification. The bulk of this document is dedicated to discussing the top performing methods

and describing their performance on our blind test set. Notably, all of the top ten teams outperform our baseline. For

SAR classification, the top team showed a 129% improvement over our baseline and an 8% average improvement

from the 2021 winner. The top team for SAR + EO classification shows a 165% improvement with a 32% average

improvement over 2021.
 
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  Call Number cidis @ cidis @ Serial 177  
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Author Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic pdf  openurl
  Title (up) Multi-sensor Fusion Module in a Fault Tolerant Perception System for Autonomous Vehicles Type Journal Article
  Year 2016 Publication Journal of Automation and Control Engineering (JOACE) Abbreviated Journal  
  Volume Vol. 4 Issue Pages pp. 430-436  
  Keywords Fault Tolerance, Data Fusion, Multi-sensor Fusion, Autonomous Vehicles, Perception System  
  Abstract Driverless vehicles are currently being tested on public roads in order to examine their ability to perform in a safe and reliable way in real world situations. However, the long-term reliable operation of a vehicle’s diverse sensors and the effects of potential sensor faults in the vehicle system have not been tested yet. This paper is proposing a sensor fusion architecture that minimizes the influence of a sensor fault. Experimental results are presented simulating faults by introducing displacements in the sensor information from the KITTI dataset.  
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  Call Number cidis @ cidis @ Serial 51  
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Author Roberto Jacome Galarza. url  openurl
  Title (up) Multimodal deep learning for crop yield prediction. Type Conference Article
  Year 2022 Publication Doctoral Symposium on Information and Communication Technologies –DSICT 2022. Octubre 12-14. Abbreviated Journal  
  Volume 1647 Issue Communicationsin Computer and Infor Pages 106-117  
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  Call Number cidis @ cidis @ Serial 193  
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Author Xavier Soria; Angel D. Sappa; Arash Akbarinia pdf  openurl
  Title (up) Multispectral Single-Sensor RGB-NIR Imaging: New Challenges an Oppotunities Type Conference Article
  Year 2017 Publication The 7th International Conference on Image Processing Theory, Tools and Application Abbreviated Journal  
  Volume Issue Pages 1-6  
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  Call Number gtsi @ user @ Serial 72  
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla; Riad I. Hammoud pdf  openurl
  Title (up) Near InfraRed Imagery Colorization Type Conference Article
  Year 2018 Publication 25 th IEEE International Conference on Image Processing, ICIP 2018 Abbreviated Journal  
  Volume Issue Pages 2237-2241  
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  Abstract This paper proposes a stacked conditional Generative

Adversarial Network-based method for Near InfraRed

(NIR) imagery colorization. We propose a variant architecture

of Generative Adversarial Network (GAN) that uses multiple

loss functions over a conditional probabilistic generative model.

We show that this new architecture/loss-function yields better

generalization and representation of the generated colored IR

images. The proposed approach is evaluated on a large test

dataset and compared to recent state of the art methods using

standard metrics.1

Index Terms—Convolutional Neural Networks (CNN), Generative

Adversarial Network (GAN), Infrared Imagery colorization.
 
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  Call Number gtsi @ user @ Serial 81  
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Author Patricia L. Suárez, Dario Carpio, and Angel Sappa url  openurl
  Title (up) Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. Type Conference Article
  Year 2021 Publication 16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science Abbreviated Journal  
  Volume 13018 Issue Pages 178-190  
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  Call Number cidis @ cidis @ Serial 162  
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Author Benítez-Quintero J., Quevedo-Pinos O., Calderon, Fernanda pdf  openurl
  Title (up) Notes on Sulfur Fluxes in Urban Areas with Industrial Activity Type Conference Article
  Year 2022 Publication 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022, Abbreviated Journal  
  Volume 2022-July Issue Pages  
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  Call Number cidis @ cidis @ Serial 201  
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Author Rafael E. Rivadeneira, Henry O. Velesaca, Angel D. Sappa openurl 
  Title (up) Object Detection in Very Low-Resolution Thermal Images through a Guided-Based Super-Resolution Approach Type Conference Article
  Year 2023 Publication 17th International Conference On Signal Image Technology & Internet Based System Abbreviated Journal  
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  Call Number cidis @ cidis @ Serial 224  
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Author Henry O. Velesaca, Steven Araujo, Patricia L. Suarez, Ángel Sanchez & Angel D. Sappa pdf  isbn
openurl 
  Title (up) Off-the-Shelf Based System for Urban Environment Video Analytics. Type Conference Article
  Year 2020 Publication The 27th International Conference on Systems, Signals and Image Processing (IWSSIP 2020) Abbreviated Journal  
  Volume 2020-July Issue 9145121 Pages 459-464  
  Keywords Greenhouse gases, carbon footprint, object detection, object tracking, website framework, off-the-shelf video analytics.  
  Abstract This paper presents the design and implementation details of a system build-up by using off-the-shelf algorithms for urban video analytics. The system allows the connection to public video surveillance camera networks to obtain the necessary

information to generate statistics from urban scenarios (e.g., amount of vehicles, type of cars, direction, numbers of persons, etc.). The obtained information could be used not only for traffic management but also to estimate the carbon footprint of urban scenarios. As a case study, a university campus is selected to

evaluate the performance of the proposed system. The system is implemented in a modular way so that it is being used as a testbed to evaluate different algorithms. Implementation results are provided showing the validity and utility of the proposed approach.
 
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  ISSN 21578672 ISBN 978-172817539-3 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 125  
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Author Steven Silva, Nervo Verdezoto, Dennys Paillacho, Samuel Millan-Norman & Juan David Hernandez pdf  isbn
openurl 
  Title (up) Online Social Robot Navigation in Indoor, Large and Crowded Environments. Type Conference Article
  Year 2023 Publication IEEE International Conference on Robotics and Automation (ICRA 2023) Abbreviated Journal  
  Volume 2023-May Issue Pages 9749 - 9756  
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  Series Volume Series Issue Edition  
  ISSN 10504729 ISBN 979-835032365-8 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 206  
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