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| Author | Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla | ||||
| Title | Human Pose Estimation through A Novel Multi-View Scheme | Type | Conference Article | ||
| Year | 2022 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 | Abbreviated Journal | |
| Volume | 5 | Issue | Pages | 855-862 | |
| Keywords | Multi-View Scheme, Human Pose Estimation, Relative Camera Pose, Monocular Approach | ||||
| Abstract | This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human pose estimation problem. The proposed approach first obtains the human body joints of a set of images, which are captured from different views at the same time. Then, it enhances the obtained joints by using a multi-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results and comparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements in the accuracy of body joints estimations. |
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cidis @ cidis @ | Serial | 169 | ||
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| Author | Xavier Soria , Gonzalo Pomboza-Junez & Angel Sappa. | ||||
| Title | LDC: Lightweight Dense CNN for Edge Detection. | Type | Journal Article | ||
| Year | 2022 | Publication | IEEE Access journal | Abbreviated Journal | |
| Volume | Vol. 10 | Issue | Pages | pp. 68281-68290 | |
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cidis @ cidis @ | Serial | 183 | ||
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| Author | Rivadeneira, Rafael E.; Sappa, Angel D. and Vintimilla Boris X. | ||||
| Title | Thermal Image Super-Resolution: A Novel Unsupervised Approach. | Type | Book Chapter | ||
| Year | 2022 | Publication | Communications in Computer and Information Science, 15th International Communications in Computer and Information Science Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications | Abbreviated Journal | BOOK |
| Volume | 1474 | Issue | Pages | 495-506 | |
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cidis @ cidis @ | Serial | 179 | ||
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| Author | Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Jin Kim, Dogun Kim et al. | ||||
| Title | Thermal Image Super-Resolution Challenge Results- PBVS 2022. | Type | Conference Article | ||
| Year | 2022 | Publication | Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. | Abbreviated Journal | CONFERENCE |
| Volume | 2022-June | Issue | Pages | 349-357 | |
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| Abstract | 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 measure the PSNR and SSIM between the SR image and the ground truth (HR thermal noisy image downsampled by four), and also to measure the PSNR and SSIM between the SR image and the semi-registered HR image (acquired with another camera). The results outperformed those from last year’s challenge, improving both evaluation metrics. This year, almost 100 teams participants registered for the challenge, showing the community’s interest in this hot topic. |
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cidis @ cidis @ | Serial | 175 | ||
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| Author | Rangnekar,Aneesha; Mulhollan,Zachary; Vodacek,Anthony; Hoffman,Matthew; Sappa,Angel D.; Yu,Jun et al. | ||||
| Title | Semi-Supervised Hyperspectral Object Detection 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 | 389-397 | |
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cidis @ cidis @ | Serial | 176 | ||
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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. | Abbreviated Journal | CONFERENCE |
| Volume | 2022-June | Issue | Pages | 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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cidis @ cidis @ | Serial | 177 | ||
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| Author | Velez R., Paredes A., Silva S., Paillacho D., and Paillacho J. | ||||
| Title | Implementation of a UVC lights disinfection system for a diferential robot applying security methods in indoor. | Type | Conference Article | ||
| Year | 2022 | Publication | Communications in Computer and Information Science, International Conference on Applied Technologies (ICAT 2021), octubre 27-29 | Abbreviated Journal | CONFERENCE |
| Volume | 1535 | Issue | Pages | 319-331 | |
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cidis @ cidis @ | Serial | 178 | ||
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| Author | Nayeth I. Solorzano, L. C. H., Leslie del R. Lima, Dennys F. Paillacho & Jonathan S. Paillacho | ||||
| Title | Visual Metrics for Educational Videogames Linked to Socially Assistive Robots in an Inclusive Education Framework | Type | Conference Article | ||
| Year | 2022 | Publication | Smart Innovation, Systems and Technologies. International Conference in Information Technology & Education (ICITED 21), julio 15-17 | Abbreviated Journal | |
| Volume | 256 | Issue | Pages | 119-132 | |
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| Abstract | In gamification, the development of “visual metrics for educational video games linked to social assistance robots in the framework of inclusive education” seeks to provide support, not only to regular children but also to children with specific psychosocial disabilities, such as those diagnosed with autism spectrum disorder (ASD). However, personalizing each child's experiences represents a limitation, especially for those with atypical behaviors. 'LOLY,' a social assistance robot, works together with mobile applications associated with the family of educational video game series called 'MIDI-AM,' forming a social robotic platform. This platform offers the user curricular digital content to reinforce the teaching-learning processes and motivate regular children and those with ASD. In the present study, technical, programmatic experiments and focus groups were carried out, using open-source facial recognition algorithms to monitor and evaluate the degree of user attention throughout the interaction. The objective is to evaluate the management of a social robot linked to educational video games through established metrics, which allow monitoring the user's facial expressions during its use and define a scenario that ensures consistency in the results for its applicability in therapies and reinforcement in the teaching process, mainly adaptable for inclusive early childhood education. |
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cidis @ cidis @ | Serial | 180 | ||
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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 | |
| Volume | 1647 | Issue | Communicationsin Computer and Infor | Pages | 106-117 |
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cidis @ cidis @ | Serial | 193 | ||
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| Author | Patricia Suarez, Henry Velesaca, Dario Carpio, Angel Sappa, Patricia Urdiales, Francisca Burgos | ||||
| Title | Deep Learning based Shrimp Classification | Type | Conference Article | ||
| Year | 2022 | Publication | 17th International Symposium on Visual Computing, San Diego, USA, Octubre 3-5. Lecture Notes in Computer Science (LNCS) | Abbreviated Journal | |
| Volume | 13598 LNCS | Issue | Pages | 36-45 | |
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| Call Number |
cidis @ cidis @ | Serial | 194 | ||
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