| Records |
| Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
Title  |
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. |
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Conference Article |
| Year |
2021 |
Publication |
In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 |
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2703-2712 |
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no |
| Call Number |
cidis @ cidis @ |
Serial |
148 |
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| Author |
Rafael E. Rivadeneira, Angel D. Sappa and Boris X. Vintimilla |
| Title |
Multi-Image Super-Resolution for Thermal Images. |
Type |
Conference Article |
| Year |
2022 |
Publication |
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 |
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4 |
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635 - 642 |
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no |
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cidis @ cidis @ |
Serial |
181 |
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| Author |
Angel D. Sappa, Spencer Low, Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich |
| Title |
Multi-modal Aerial View Image Challenge: SAR Classification |
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Conference Article |
| Year |
2024 |
Publication |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 |
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3105 - 3112 |
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979-835036547-4 |
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no |
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cidis @ cidis @ |
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234 |
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| Author |
Angel D. Sappa, Spencer Low, Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich |
| Title |
Multi-modal Aerial View Image Challenge: Sensor Domain Translation |
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Conference Article |
| Year |
2024 |
Publication |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 |
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3096 - 3104 |
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979-835036547-4 |
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no |
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cidis @ cidis @ |
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235 |
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| Author |
Spencer Low, Oliver Nina, Angel D. Sappa, Erik Blasch, Nathan Inkawhich |
| Title |
Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain Results – PBVS 2023 |
Type |
Conference Article |
| Year |
2023 |
Publication |
19th IEEE Workshop on Perception Beyond the Visible Spectrum de la Conferencia Computer Vision & Pattern Recognition (CVPR 2023) Vancouver, 18-28 junio 2023 |
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2023-June |
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515 - 523 |
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21607508 |
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979-835030249-3 |
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no |
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cidis @ cidis @ |
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211 |
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| Author |
Spencer Low, Oliver Nina, Angel D. Sappa, Erik Blasch, Nathan Inkawhich |
| Title |
Multi-modal Aerial View Object Classification Challenge Results – PBVS 2023 |
Type |
Conference Article |
| Year |
2023 |
Publication |
19th IEEE Workshop on Perception Beyond the Visible Spectrum de la Conferencia Computer Vision & Pattern Recognition (CVPR 2023) Vancouver, 18-28 junio 2023 |
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2023-June |
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412 - 421 |
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21607508 |
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979-835030249-3 |
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no |
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cidis @ cidis @ |
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212 |
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| Author |
Low S., Inkawhich N., Nina O., Sappa A. and Blasch E. |
| Title |
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. |
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CONFERENCE |
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2022-June |
Issue |
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417-425 |
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| 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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no |
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cidis @ cidis @ |
Serial |
177 |
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| Author |
Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic |
| Title |
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) |
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Vol. 4 |
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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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English |
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English |
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no |
| Call Number |
cidis @ cidis @ |
Serial |
51 |
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| Author |
Rato D., Oliveira M., Santos V., Sappa A. & Raducanu B. |
| Title |
Multi-View 2D to 3D Lifting Video-Based Optimization: A Robust Approach for Human Pose Estimation with Occluded Joint Prediction |
Type |
Journal Article |
| Year |
2024 |
Publication |
IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Abu Dhabi, October 14-18, 2024 |
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no |
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cidis @ cidis @ |
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255 |
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| Author |
Roberto Jacome Galarza. |
| Title |
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 |
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| Volume |
1647 |
Issue |
Communicationsin Computer and Infor |
Pages |
106-117 |
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cidis @ cidis @ |
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193 |
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