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Author Henry O. Velesaca, Patricia L. Suarez, Dario Carpio, and Angel D. Sappa url  openurl
  Title Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy Type Conference Article
  Year 2021 Publication (up) 16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science Abbreviated Journal  
  Volume 13017 Issue Pages 131-143  
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  Call Number cidis @ cidis @ Serial 163  
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Author Angel D. Sappa, Patricia L. Suárez, Henry O. Velesaca, Darío Carpio pdf  openurl
  Title Domain adaptation in image dehazing: exploring the usage of images from virtual scenarios. Type Conference Article
  Year 2022 Publication (up) 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2022), julio 20-22 Abbreviated Journal  
  Volume Issue Pages 85-92  
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  Call Number cidis @ cidis @ Serial 182  
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Author Patricia L. Suarez, Dario Carpio, Angel D. Sappa and Henry O. Velesaca url  openurl
  Title Transformer based Image Dehazing. Type Conference Article
  Year 2022 Publication (up) 16TH International Conference On Signal Image Technology & Internet Based Systems SITIS 2022. Abbreviated Journal  
  Volume Issue Pages 148-154  
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  Call Number cidis @ cidis @ Serial 195  
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Author Rafael E. Rivadeneira, Henry O. Velesaca, Angel D. Sappa openurl 
  Title Object Detection in Very Low-Resolution Thermal Images through a Guided-Based Super-Resolution Approach Type Conference Article
  Year 2023 Publication (up) 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, Juan Antonio Holgado-Terriza, José Miguel Gutiérrez Guerrero, Tonny Toscano, Darío Carpio & Angel Sappa openurl 
  Title Anomaly Detection in Industrial Production Products using OPC-UA and Deep Learning Type Conference Article
  Year 2024 Publication (up) Accepted in 13th International Conference on Data Science, Technology and Applications (DATA). Abbreviated Journal  
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  Call Number cidis @ cidis @ Serial 232  
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Author Henry O. Velesaca, Patricia L. Suárez, Dario Carpio, Rafael E. Rivadeneira, Ángel Sánchez, Angel D. Sappa. url  openurl
  Title Video Analytics in Urban Environments: Challenges and Approaches. Type Book Chapter
  Year 2022 Publication (up) ICT Applications for Smart Cities Part of the Intelligent Systems Reference Library book series Abbreviated Journal BOOK  
  Volume 224 Issue Pages 101-122  
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  Call Number cidis @ cidis @ Serial 196  
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Author Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla, Henry O. Velesaca. url  openurl
  Title Human Body Pose Estimation in Multi-view Environments. Type Book Chapter
  Year 2022 Publication (up) 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; Henry O. Velesaca pdf  isbn
openurl 
  Title Transfer Learning from Synthetic Data in the Camera Pose Estimation Problem Type Conference Article
  Year 2020 Publication (up) The 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020); Valletta, Malta; 27-29 Febrero 2020 Abbreviated Journal  
  Volume 4 Issue Pages 498-505  
  Keywords Relative Camera Pose Estimation, Siamese Architecture, Synthetic Data, Deep Learning, Multi-View Environments, Extrinsic Camera Parameters.  
  Abstract This paper presents a novel Siamese network architecture, as a variant of Resnet-50, to estimate the relative camera pose on multi-view environments. In order to improve the performance of the proposed model

a transfer learning strategy, based on synthetic images obtained from a virtual-world, is considered. The

transfer learning consist of first training the network using pairs of images from the virtual-world scenario

considering different conditions (i.e., weather, illumination, objects, buildings, etc.); then, the learned weight

of the network are transferred to the real case, where images from real-world scenarios are considered. Experimental results and comparisons with the state of the art show both, improvements on the relative pose

estimation accuracy using the proposed model, as well as further improvements when the transfer learning

strategy (synthetic-world data – transfer learning – real-world data) is considered to tackle the limitation on

the training due to the reduced number of pairs of real-images on most of the public data sets.
 
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  ISSN ISBN 978-989758402-2 Medium  
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  Notes Approved no  
  Call Number gtsi @ user @ Serial 120  
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Author Henry O. Velesaca; Raul A. Mira; Patricia L. Suarez; Christian X. Larrea; Angel D. Sappa. pdf  isbn
openurl 
  Title Deep Learning based Corn Kernel Classification. Type Conference Article
  Year 2020 Publication (up) The 1st International Workshop and Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture on the Conference Computer on Vision and Pattern Recongnition (CVPR 2020) Abbreviated Journal  
  Volume 2020-June Issue 9150684 Pages 294-302  
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  Abstract This paper presents a full pipeline to classify sample sets of corn kernels. The proposed approach follows a segmentation-classification scheme. The image segmentation is performed through a well known deep learning based

approach, the Mask R-CNN architecture, while the classification is performed by means of a novel-lightweight network specially designed for this task—good corn kernel, defective corn kernel and impurity categories are considered.

As a second contribution, a carefully annotated multitouching corn kernel dataset has been generated. This dataset has been used for training the segmentation and

the classification modules. Quantitative evaluations have been performed and comparisons with other approaches provided showing improvements with the proposed pipeline.
 
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  ISSN 21607508 ISBN 978-172819360-1 Medium  
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  Notes Approved no  
  Call Number cidis @ cidis @ Serial 124  
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Author Henry O. Velesaca, Steven Araujo, Patricia L. Suarez, Ángel Sanchez & Angel D. Sappa pdf  isbn
openurl 
  Title Off-the-Shelf Based System for Urban Environment Video Analytics. Type Conference Article
  Year 2020 Publication (up) 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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