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Author | Mónica Villavicencio; Alain Abran | ||||
Title | Facts and Perceptions Regarding Software Measurement in Education and in Practice: Preliminary Results | Type | Journal Article | ||
Year | 2011 | Publication | Journal of Software Engineering and Application | Abbreviated Journal | |
Volume | Issue | Pages | pp. 227-234 | ||
Keywords | Software measurement, education, software engineering | ||||
Abstract | How is software measurement addressed in undergraduate and graduate programs in universities? Do organizations consider that the graduating students they hire have an adequate knowledge of software measurement? To answer these and related questions, a survey was administered to participants who attended the IWSM-MENSURA 2010 conference in Stuttgart, Germany. Forty-seven of the 69 conference participants (including software development practitioners, software measurement consultants, university professors, and graduate students) took part in the survey. The results indicate that software measurement topics are: A) covered mostly at the graduate level and not at the undergraduate level, and B) not mandatory. Graduate students and professors consider that, of the measurement topics covered in university curricula, specific topics, such as measures for the requirements phase, and measurement techniques and tools, receive more attention in the academic context. A common observation of the practitioners who participated in the survey was that students hired as new employees bring limited software measurement-related knowledge to their organizations. Discussion of the findings and directions for future research are presented. | ||||
Address | 2 CIDIS-FIEC, Escuela Superior Politécnica del Litoral (ESPOL), Guayaquil, Ecuador | ||||
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Language | English | Summary Language | English | Original Title | |
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Call Number | cidis @ cidis @ | Serial | 17 | ||
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Author | Cristhian A. Aguilera, Cristhian Aguilera, Cristóbal A. Navarro, & Angel D. Sappa | ||||
Title | Fast CNN Stereo Depth Estimation through Embedded GPU Devices | Type | Journal Article | ||
Year | 2020 | Publication | Sensors 2020 | Abbreviated Journal | |
Volume | Vol. 2020-June | Issue | 11 | Pages | pp. 1-13 |
Keywords | stereo matching; deep learning; embedded GPU | ||||
Abstract | Current CNN-based stereo depth estimation models can barely run under real-time constraints on embedded graphic processing unit (GPU) devices. Moreover, state-of-the-art evaluations usually do not consider model optimization techniques, being that it is unknown what is the current potential on embedded GPU devices. In this work, we evaluate two state-of-the-art models on three different embedded GPU devices, with and without optimization methods, presenting performance results that illustrate the actual capabilities of embedded GPU devices for stereo depth estimation. More importantly, based on our evaluation, we propose the use of a U-Net like architecture for postprocessing the cost-volume, instead of a typical sequence of 3D convolutions, drastically augmenting the runtime speed of current models. In our experiments, we achieve real-time inference speed, in the range of 5–32 ms, for 1216 368 input stereo images on the Jetson TX2, Jetson Xavier, and Jetson Nano embedded devices. |
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Language | English | Summary Language | English | Original Title | |
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ISSN | 14248220 | ISBN | Medium | ||
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Notes | Approved | no | |||
Call Number | cidis @ cidis @ | Serial | 132 | ||
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Author | Ricaurte P; Chilán C; Cristhian A. Aguilera; Boris X. Vintimilla; Angel D. Sappa | ||||
Title | Feature Point Descriptors: Infrared and Visible Spectra | Type | Journal Article | ||
Year | 2014 | Publication | Sensors Journal | Abbreviated Journal | |
Volume | Vol. 14 | Issue | Pages | pp. 3690-3701 | |
Keywords | cross-spectral imaging; feature point descriptors | ||||
Abstract | This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. | ||||
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Language | English | Summary Language | English | Original Title | |
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Call Number | cidis @ cidis @ | Serial | 28 | ||
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Author | Juan A. Carvajal; Dennis G. Romero; Angel D. Sappa | ||||
Title | Fine-tuning deep convolutional networks for lepidopterous genus recognition | Type | Journal Article | ||
Year | 2017 | Publication | Lecture Notes in Computer Science | Abbreviated Journal | |
Volume | Vol. 10125 LNCS | Issue | Pages | pp. 467-475 | |
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Call Number | gtsi @ user @ | Serial | 63 | ||
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Author | Luis Chuquimarca, Renzo Pacheco, Paula Gonzalez, Boris Vintimilla & Sergio Velastin | ||||
Title | Fruit defect detection using CNN models with real and virtual data. | Type | Conference Article | ||
Year | 2023 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2023 | Abbreviated Journal | |
Volume | Issue | Pages | 272 - 279 | ||
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Call Number | cidis @ cidis @ | Serial | 203 | ||
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Author | Henry Velesaca Lara, Patricia Suarez, Darío Carpio & Angel Sappa | ||||
Title | Fruit Grading based on Deep Learning and Active Vision System | Type | Conference Article | ||
Year | 2024 | Publication | Accepted in CIIA – II International Conference of Applied Industrial Engineering | Abbreviated Journal | |
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Call Number | cidis @ cidis @ | Serial | 241 | ||
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Author | Patricia Suarez & Angel D. Sappa | ||||
Title | Haze-Free Imaging through Haze-Aware Transformer Adaptations | Type | Conference Article | ||
Year | 2024 | Publication | In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) | Abbreviated Journal | |
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Call Number | cidis @ cidis @ | Serial | 236 | ||
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Author | Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla, Henry O. Velesaca. | ||||
Title | Human Body Pose Estimation in Multi-view Environments. | Type | Book Chapter | ||
Year | 2022 | Publication | ICT Applications for Smart Cities Part of the Intelligent Systems Reference Library book series | Abbreviated Journal | BOOK |
Volume | 224 | Issue | Pages | 79-99 | |
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Call Number | cidis @ cidis @ | Serial | 197 | ||
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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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Call Number | cidis @ cidis @ | Serial | 169 | ||
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Author | Angel D. Sappa. | ||||
Title | ICT Applications for Smart Cities | Type | Book Chapter | ||
Year | 2022 | Publication | Intelligent Systems Reference Library | Abbreviated Journal | BOOK |
Volume | 224 | Issue | Pages | ||
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Call Number | cidis @ cidis @ | Serial | 198 | ||
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