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Thermal Image Super-Resolution Challenge Results - PBVS 2024
Rafael E. Rivadeneira;Angel D. Sappa;Chenyang Wang;Junjun Jiang;Zhiwei Zhong;Peilin Chen;Shiqi Wang
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (2)
This paper outlines the advancements and results of the Fifth Thermal Image Super-Resolution challenge, hosted at the Perception Beyond the Visible Spectrum CVPR 2024 workshop. The challenge employed a novel benchmark cross-spectral dataset consisting of 1000 thermal images, each paired with its corresponding registered RGB image. The challenge featured two tracks: Track-1 focused on Single Therma...Show More
Object Detection in Very Low-Resolution Thermal Images through a Guided-Based Super-Resolution Approach
2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
Year: 2023 | Conference Paper |
This work proposes a novel approach that integrates super-resolution techniques with off-the-shelf object detection methods to tackle the problem of handling very low-resolution thermal images. The suggested approach begins by enhancing the low-resolution (LR) thermal images through a guided super-resolution strategy, leveraging a high-resolution (HR) visible spectrum image. Subsequently, object d...Show More
Thermal Image Super-Resolution Challenge Results - PBVS 2023
Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Chenyang Wang;Junjun Jiang;Xianming Liu;Zhiwei Zhong;Dai Bin;Li Ruodi;Li Shengye
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2023 | Conference Paper |
Cited by: Papers (8)
This paper presents the results of two tracks from the fourth Thermal Image Super-Resolution (TISR) challenge, held at the Perception Beyond the Visible Spectrum (PBVS) 2023 workshop. Track-1 uses the same thermal image dataset as previous challenges, with 951 training images and 50 validation images at each resolution. In this track, two evaluations were conducted: the first consists of generatin...Show More
Thermal Image Super-Resolution Challenge Results - PBVS 2022
Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Jin Kim;Dogun Kim;Zhihao Li;Yingchun Jian;Bo Yan;Leilei Cao;Fengliang Qi;Hongbin Wang;Rongyuan Wu;Lingchen Sun;Yongqiang Zhao;Lin Li;Kai Wang;Yicheng Wang;Xuanming Zhang;Huiyuan Wei;Chonghua Lv;Qigong Sun;Xiaolin Tian;Zhuang Jia;Jiakui Hu;Chenyang Wang;Zhiwei Zhong;Xianming Liu;Junjun Jiang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (8)
This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop. The challenge uses the same thermal image dataset as the first two challenges, with 951 training images and 50 validation images at each resolution. A set of 20 images was kept aside for testing. The evaluation tasks were to measur...Show More
Thermal Image Super-Resolution Challenge Results - PBVS 2022
Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Jin Kim;Dogun Kim;Zhihao Li;Yingchun Jian;Bo Yan;Leilei Cao;Fengliang Qi;Hongbin Wang;Rongyuan Wu;Lingchen Sun;Yongqiang Zhao;Lin Li;Kai Wang;Yicheng Wang;Xuanming Zhang;Huiyuan Wei;Chonghua Lv;Qigong Sun;Xiaolin Tian;Zhuang Jia;Jiakui Hu;Chenyang Wang;Zhiwei Zhong;Xianming Liu;Junjun Jiang
Year: 2022 | Conference Paper |
Thermal Image Super-Resolution Challenge - PBVS 2021
Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Sabari Nathan;Priya Kansal;Armin Mehri;Parichehr Behjati Ardakani;Anurag Dalal;Aparna Akula;Darshika Sharma;Shashwat Pandey;Basant Kumar;Jiaxin Yao;Rongyuan Wu;Kai Feng;Ning Li;Yongqiang Zhao;Heena Patel;Vishal Chudasama;Kalpesh Prajapati;Anjali Sarvaiya;Kishor P. Upla;Kiran Raja;Raghavendra Ramachandra;Christoph Busch;Feras Almasri;Thomas Vandamme;Olivier Debeir;Nolan B. Gutierrez;Quan H. Nguyen;William J. Beksi
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2021 | Conference Paper |
Cited by: Papers (13)
This paper presents results from the second Thermal Image Super-Resolution (TISR) challenge organized in the framework of the Perception Beyond the Visible Spectrum (PBVS) 2021 workshop. For this second edition, the same thermal image dataset considered during the first challenge has been used; only mid-resolution (MR) and high-resolution (HR) sets have been considered. The dataset consists of 951...Show More
Thermal Image Super-Resolution Challenge - PBVS 2021
Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Sabari Nathan;Priya Kansal;Armin Mehri;Parichehr Behjati Ardakani;Anurag Dalal;Aparna Akula;Darshika Sharma;Shashwat Pandey;Basant Kumar;Jiaxin Yao;Rongyuan Wu;Kai Feng;Ning Li;Yongqiang Zhao;Heena Patel;Vishal Chudasama;Kalpesh Prajapati;Anjali Sarvaiya;Kishor P. Upla;Kiran Raja;Raghavendra Ramachandra;Christoph Busch;Feras Almasri;Thomas Vandamme;Olivier Debeir;Nolan B. Gutierrez;Quan H. Nguyen;William J. Beksi
Year: 2021 | Conference Paper |
Thermal Image Super-Resolution Challenge - PBVS 2020
Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Lin Guo;Jiankun Hou;Armin Mehri;Parichehr Behjati Ardakani;Heena Patel;Vishal Chudasama;Kalpesh Prajapati;Kishor P. Upla;Raghavendra Ramachandra;Kiran Raja;Christoph Busch;Feras Almasri;Olivier Debeir;Sabari Nathan;Priya Kansal;Nolan Gutierrez;Bardia Mojra;William J. Beksi
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2020 | Conference Paper |
Cited by: Papers (18)
This paper summarizes the top contributions to the first challenge on thermal image super-resolution (TISR), which was organized as part of the Perception Beyond the Visible Spectrum (PBVS) 2020 workshop. In this challenge, a novel thermal image dataset is considered together with state- of-the-art approaches evaluated under a common framework. The dataset used in the challenge consists of 1021 th...Show More
Thermal Image Super-Resolution Challenge - PBVS 2020
Rafael E. Rivadeneira;Angel D. Sappa;Boris X. Vintimilla;Lin Guo;Jiankun Hou;Armin Mehri;Parichehr Behjati Ardakani;Heena Patel;Vishal Chudasama;Kalpesh Prajapati;Kishor P. Upla;Raghavendra Ramachandra;Kiran Raja;Christoph Busch;Feras Almasri;Olivier Debeir;Sabari Nathan;Priya Kansal;Nolan Gutierrez;Bardia Mojra;William J. Beksi
Year: 2020 | Conference Paper |
PETRA: A Crowdsourcing-Based Platform for Rocks Data Collection and Characterization
Raúl A. Mira;Patricia L. Suarez;Rafael E. Rivadeneira;Angel D. Sappa
2019 IEEE Fourth Ecuador Technical Chapters Meeting (ETCM)
Year: 2019 | Conference Paper |
This paper presents details of a distributed platform intended for data acquisition, evaluation, storage and visualization, which is fully implemented under the crowdsourcing paradigm. The proposed platform is the result from collaboration between computer science and petrology researchers and it is intended for academic purposes. The platform is designed within a MTV (Model, Template and View) ar...Show More
Evaluating Apache OpenWhisk - FaaS
Sebastián Quevedo;Freddy Merchán;Rafael Rivadeneira;Federico X. Dominguez
2019 IEEE Fourth Ecuador Technical Chapters Meeting (ETCM)
Year: 2019 | Conference Paper |
Cited by: Papers (9)
Function-as-a-Service (FaaS) platforms enable users to execute user-defined functions without worrying about operational issues such as the management of infrastructure resources. In order to improve performance, different FaaS platforms are implementing optimizations and improvements, but it's not clear how good these implementations are. In this work, Apache OpenWhisk platform is evaluated from ...Show More
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