Publicaciones

Rato D., Oliveira M., Santos V., Gomes M. and Sappa A., "A Sensor-to-Pattern Calibration Framework for Multi-Modal Industrial Collaborative Cells", Journal of Manufacturing Systems.

Soria X., Pomboza G. and Sappa A., "LDC: Lightweight Dense CNN for Edge Detection", IEEE Access, Vol. 10, June 2022, pp. 68281-68290

Velesaca H., Suárez P., Sappa A., Carpio D., Rivadeneira R., Sánchez Á., “Review on Common Techniques for Urban Environment Video Analytics”, 3rd Brazilian Workshop on Smart Cities (WBCI2022), Niterói, RJ, Brazil, 2022.

Sappa A., Suárez P., Velesaca H. and Carpio D., “Domain Adaptation in Image Dehazing: Exploring the Usage of Images from Virtual Scenarios”, 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing, Lisbon, Portugal July 20-22, 2022.

Charco J., Sappa A., Vintimilla B. and Velesaca O., “Human Pose Estimation through a Novel Multi-view Scheme”, 17th Int. Conf. on Computer Vision Theory and Applications, Online, February 6-8, 2022, pp 855-862.

Ruiz-Parrado, V., Heradio, R., Aranda-Escolastico, E., Sánchez, Á., & Vélez, J. F. (2021). "A bibliometric analysis of off-line handwritten document analysis literature (1990-2020)". Pattern Recognition, 108513.

Dunkel, J., Dominguez, D., Borzdynski, Ó. G., & Sánchez, Á. (2022). "Solid Waste Analysis Using Open-Access Socio-Economic Data". Sustainability, 14(3), 1233.

Bengar, J. Z., van de Weijer, J., Fuentes, L. L., & Raducanu, B. (2022). "Class-Balanced Active Learning for Image Classification". In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1536-1545).

García, B., Moreno, B., Vélez, J. F., & Sánchez, Á. (2022). "Deep Layout Extraction Applied to Historical Postcards". In International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 346-355). Springer, Cham.

Barreiro-Garrido, A., Ruiz-Parrado, V., Sánchez, A., & Velez, J. F. (2022). "Handwritten Word Recognition on the Fundación-Osborne Dataset". In International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 298-307). Springer, Cham.

Bomfim, Tacio Souza, Éldman de Oliveira Nunes, and Ángel Sánchez. "Art Graffiti Detection in Urban Images Using Deep Learning." ICT Applications for Smart Cities. Springer, Cham, 2022. 1-20.

Canche, Mario, Ranganath Krishnan, and Jean-Bernard Hayet. "Epistemic Uncertainty Quantification in Human Trajectory Prediction." ICT Applications for Smart Cities. Springer, Cham, 2022. 37-56.

Moran, Maira, Aura Conci, and Ángel Sánchez. "Automatic Detection of Knives in Complex Scenes." ICT Applications for Smart Cities. Springer, Cham, 2022. 57-77.

Charco, Jorge L., et al. "Human Body Pose Estimation in Multi-view Environments." ICT Applications for Smart Cities. Springer, Cham, 2022. 79-99.

Santos, V., Dias, P., Oliveira, M., & Rato, D. (2022). "Multimodal Sensor Calibration Approaches in the ATLASCAR Project". In ICT Applications for Smart Cities (pp. 123-148). Springer, Cham.

Nehmad Alche, Miguel, Daniel Acevedo, and Marta Mejail. "Early Computer-Aided Diagnose in Medical Environments: A Deep Learning Based Lightweight Solution." ICT Applications for Smart Cities. Springer, Cham, 2022. 149-164.

de Sá, F. P., Aguilera, C., Aguilera, C. A., & Conci, A. (2022). "Melamine Faced Panel Inspection, Towards an Efficient Use of Natural Resources". In ICT Applications for Smart Cities (pp. 165-183). Springer, Cham.

Ruiz, V., Sánchez, Á., Vélez, J. F., & Raducanu, B. (2022). "Waste Classification with Small Datasets and Limited Resources". In ICT Applications for Smart Cities (pp. 185-203). Springer, Cham.

Suárez, P. L., Sappa, A. D., & Vintimilla, B. X. “Cycle Generative Adversarial Network: Towards A Low-Cost Vegetation Index Estimation”. In 2021 IEEE International Conference on Image Processing (ICIP), September 2021, pp. 2783-2787. IEEE.

Alche, M. N., Acevedo, D., & Mejail, M. “EfficientARL: improving skin cancer diagnoses by combining lightweight attention on EfficientNet”. In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 3354-3360.

Araujo, A. S., Issa, M. H., Medeiros, P. R., Sánchez, Á., Muchaluat-Saade, D. C., & Conci, A. “Monitoring breast cancer neoadjuvant treatment using thermographic time series”. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, June, pp. 247-252. IEEE.

Solanki, A., Nayyar, A., & Naved, M. (Eds.). “Generative Adversarial Networks for Image-to-Image Translation”. Academic Press. 2021.

Suárez, P. L., Carpio, D., & Sappa, A. D. “Non-homogeneous Haze Removal Through a Multiple Attention Module Architecture”. In International Symposium on Visual Computing. 2021, October, pp. 178-190. Springer, Cham.

Velesaca, H. O., Suárez, P. L., Carpio, D., & Sappa, A. D. “Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy”. In International Symposium on Visual Computing. 2021, October, pp. 131-143. Springer, Cham.

González, M., Sánchez, Á., Dominguez, D., & Rodríguez, F. B. “Fine-Tuning of Patterns Assignment to Subnetworks Increases the Capacity of an Attractor Network Ensemble”. In International Work-Conference on Artificial Neural Networks. 2021, June, pp. 236-247. Springer, Cham.

Santos V., Sappa A., Oliveira M. and de la Escalera A., "Special Issue on Autonomous Driving and Driver Assistance Systems", Robotics and Autonomous Systems, Vol. 144, October 2021, pp 1-3.

González, M., Sánchez, Á., Dominguez, D., & Rodríguez, F. B. “Ensemble of diluted attractor networks with optimized topology for fingerprint retrieval”. Neurocomputing, Vol. 442, 2021, pp. 269-280.

Charco, J. L., Sappa, A. D., Vintimilla, B. X., & Velesaca, H. O. “Camera pose estimation in multi-view environments: From virtual scenarios to the real world”. Image and Vision Computing, Vol. 110, June 2021, pp. 1-12.

Santiago, P. C., de Souza Chagas, J. V., & Conci, A. “Um game para auxiliar no aprendizado do esqueleto humano”. In Anais Estendidos do XX Simpósio Brasileiro de Jogos e Entretenimento Digital. 2021, October, pp. 838-845. SBC.

Madeira, T., Oliveira, M., & Dias, P. “Enhancement of RGB-D image alignment using fiducial markers”. Sensors, 20(5), 2020, 1497.

Morera A., Sánchez Á., Moreno A. B., Sappa A. and Vélez J., "SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities", Sensors, Vol. 20, No. 16, August 2020, pp. 1-23.

Velesaca H., Araujo S., Suárez P., Sanchez Á. and Sappa A., “Off-the-Shelf Based System for Urban Environment Video Analytics”, IEEE 27th International Conference on Systems, Signals and Image Processing, Niteroi, Rio de Janeiro, Brazil, July 1-3, 2020.

Charco J., Sappa A., Vintimilla B. and Velesaca O., “Transfer Learning from Synthetic Data in the Camera Pose Estimation Problem”, 15th Int. Conf. on Computer Vision Theory and Applications, Valletta, Malta, February 27-29, 2020, pp 498-505.

A. Ek-Hobak, A. Sanchez and J. -B. Hayet, "Evaluation of Output Representations in Neural Network-based Trajectory Predictions Systems," 2020 International Conference on Systems, Signals and Image Processing (IWSSIP), 2020, pp. 447-452

Almeida T., Santos V., Lourenço B., “Scalable ROS-Based Architecture to Merge Multi-source Lane Detection Algorithms”, In: Silva M., Luís Lima J., Reis L., Sanfeliu A., Tardioli D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092. Springer.

Narango R., Almeida M., Zalakeviciute R., Rybarczyk Y. and González M., "AirQ2: Quito Air Quality Monitoring and Visualization Tool", Sixth International Conference on eDemocracy & eGovernment (ICEDEG), Quito, Ecuador, 2019, pp. 164-171.

Morera A., Sánchez A., Sappa A. and Vélez J, “Robust Detection of Outdoor Urban Advertising Panels in Static Images”, In: De La Prieta F. et al. (eds) Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection. PAAMS 2019. Communications in Computer and Information Science, vol 1047. Springer, pp. 246-256.

Amirian, J., Van Toll, W., Hayet, J. B., & Pettré, J., “Data-Driven Crowd Simulation with Generative Adversarial Networks”, 2019, arXiv preprint arXiv:1905.09661.

Dominguez D., Soria P., González M., Rodríguez F. B. and Á. Sánchez, "A Classification and Data Visualization Tool Applied to Human Migration Analysis", Sixth International Conference on eDemocracy & eGovernment (ICEDEG), Quito, Ecuador, 2019, pp. 256-261.

Ruiz V., Sánchez Á., Vélez J.F., Raducanu B., “Automatic Image-Based Waste Classification”, In: Ferrández Vicente J., Álvarez-Sánchez J., de la Paz López F., Toledo Moreo J., Adeli H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture Notes in Computer Science, Springer, vol 11487, pp. 422-431.

Amirian J., Hayet J. B. and Pettré, J., “Social ways: Learning multi-modal distributions of pedestrian trajectories with GANs”, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Seul, Korea, Oct. 27 – Nov. 2, 2019.

Costa D., Duran-Faundez C., Andrade D., Rocha-Junior J. and Just Peixoto J., “Twitter Sensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications”, Sensors, 18, No. 4, April 2018, pp. 1-30.

García-Alvarado R. and Campos P, "A tool for the assessment of energy-efficiency retrofit packages based on simulations, for single-family housing in Concepcion, Chile", Energy Efficiency, 2018, pp. 1-18.

Soria X., Sappa A. and Hammoud R., "Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images", Sensors, Vol. 18, No. 4, June 2018, pp. 1-17.

Sucar E. and Hayet J. B.,”Bayesian scale estimation for monocular slam based on generic object detection for correcting scale drift”. IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 21-25, 2018.

Fernández F., Sánchez Á., Suárez A. and Vélez J., “Situation Awareness Cognitive Agent for Vehicle Geolocation in Tunnels”. International Conference on Practical Applications of Agents and Multi-Agent Systems, June 2018.

Rivadeneira R., Sappa A., Vintimilla B. and Hammoud R., "A Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super-Resolution", Sensors, Vol. 22, No. 6, March 2022, pp. 1-14.

Rivadeneira R., Sappa A. and Vintimilla B., “Multi-Image Super-Resolution for Thermal Images”, 17th Int. Conf. on Computer Vision Theory and Applications, Online, February 6-8, 2022, pp 635-642.

De Sá, Fernando PG, et al. "Fault Classification on Melamine Faced Panels Using Local Binary Pattern." 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). Vol. 1. IEEE, 2022.

Araujo, A. S., Issa, M. H., Sánchez, Á., Muchaluat-Saade, D. C., & Conci, A. (2022, June). "Using Thermography for Breast Cancer Neoadjuvant Treatment". In 2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP) (pp. 1-4). IEEE.

Araujo, A. S., Issa, M. H., Medeiros, P. R., Sánchez, Á., Muchaluat-Saade, D. C., & Conci, A. (2021, June). "Monitoring breast cancer neoadjuvant treatment using thermographic time series". In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 247-252). IEEE.

Rivadeneira R., Sappa A. and Vintimilla B., “Thermal Image Super-resolution: A Novel Architecture and Dataset”, 15th Int. Conf. on Computer Vision Theory and Applications, Valletta, Malta, February 27-29, 2020, pp 111-119.

Soria X., Riba E. and Sappa A., “Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection”, IEEE Winter Conference on Applications of Computer Vision, Aspen, Colorado, USA, March 2-5, 2020, pp 1923-1932.

Rivadeneira R., Suárez P., Sappa A. and Vintimilla B., “Thermal Image SuperResolution Through Deep Convolutional Neural Network”, 16th Int. Conf. on Images Analysis and Recognition, LNCS 11663, Springer Verlag, Waterloo, Canada, August 27-29, 2019.

Mehri A. and Sappa A., “Colorizing Near Infrared Images through a Cyclic Adversarial Approach of Unpaired Samples”, IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR) Workshops, Long Beach, CA, USA, June 16-20, 2019.

Suárez P., Sappa A., Vintimilla B. and Hammoud R., “Image Vegetation Index through a Cycle Generative Adversarial Network”, IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR) Workshops, Long Beach, CA, USA, June 16-20, 2019.

Rato D. and Santos V., “Detection of Road Limits Using Gradients of the Accumulated Point Cloud Density”, In: Silva M., Luís Lima J., Reis L., Sanfeliu A., Tardioli D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092. Springer.

Oliveira M., Castro A., Madeira T., Dias P. and Santos V., “A General Approach to the Extrinsic Calibration of Intelligent Vehicles Using ROS”, In: Silva M., Luís Lima J., Reis L., Sanfeliu A., Tardioli D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092. Springer.

Dominguez D., Pantoja O., De Los Nietos J., García H., Sánchez A., and González M., "Soft-Computing Modeling and Prediction of Gender Equality", Sixth International Conference on eDemocracy & eGovernment (ICEDEG), Quito, Ecuador, 2019, pp. 242-248.

González M., Dávila C., Dominguez D., Sánchez Á. and Rodriguez F.B., “Fingerprint Retrieval Using a Specialized Ensemble of Attractor Networks”, In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science, Springer, vol 11507, pp. 709-719.

Dávila C., González M., Pérez-Medina JL., Dominguez D., Sánchez Á. and Rodriguez F.B., “Ensemble of Attractor Networks for 2D Gesture Retrieval”, In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science, Springer, vol 11507, pp. 488-499.

Fernández F., Sánchez Á., Vélez J.F. and Moreno A.B., “Symbiotic Autonomous Systems with Consciousness Using Digital Twins”, In: Ferrández Vicente J., Álvarez-Sánchez J., de la Paz López F., Toledo Moreo J., Adeli H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture NHe reotes in Computer Science, Springer, vol 11487, pp. 23-32.

Zolfaghari Bengar J., Gonzalez-Garcia A., Villalonga G., Raducanu B., Habibi Aghdam H., Mozerov M., Antonio López and van de Weijer J., “Temporal Coherence for Active Learning in Videos”, In Proceedings of the IEEE International Conference on Computer Vision Workshops, Seul, Korea, Oct. 27 – Nov. 2, 2019.

Araújo A., Vieira J., Jandre E., Conci A., Passos D., Braganholo V. and Viterbo J., “A Framework for Monitoring Patients with Alzheimer’s and Other Dementias”, In IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), 2019, June, pp. 175-180.

Santos V., Sappa A., Oliveira M. and de la Escalera A., "Special Issue on Autonomous Driving and Driver Assistance Systems", Robotics and Autonomous Systems, Vol. 121, August 2019.

Jácome-Galarza L., Realpe-Robalino M., Chamba-Eras L., Viñán-Ludeña M. and Sinche-Freire J., “Computer vision for image understanding. A comprehensive review”, In International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019); Quito, Ecuador.

Alvarez J., Zapata M., and Paillacho D., “Mechanical Design of a spatial mechanism for the robot head movements in social robotics for the evaluation of Human-Robot Interaction”, In 2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2019); Munich, Alemania.

Suárez P., Sappa A., Vintimilla B. and Hammoud R., “Deep Learning based Single Image Dehazing”, IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR) Workshops, Salt Lake City, Utah, USA, June 18-22, 2018.

Adriel Araujo, Aura Conci, Roger Resmini and Maira Moran, "Comparing the Use of Sum and Difference Histograms and Gray Levels Occurrence Matrix for Texture Descriptors", The International Joint Conference on Neural Networks, July 8-13, Rio de Janeiro, Brazil, 2018.

Moran, M. B. H., Ochi, L. S., Conci, A., Araujc, A. S., and Muchaluat-Saade, D. C., “Iterated Local Search for RGB Image Steganography”, 25th IEEE International Conference on Systems, Signals and Image Processing (IWSSIP) 2018, Maribor Slovenia.

Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia and Bogdan Raducanu, “Transferring GANs: generating images from limited data”, Proc. of ECCV2018, Vol. 6, pp.220-236, Munich, Germany, September 2018

Suárez P., Sappa A., Vintimilla B. and Hammoud R., “Near InfraRed Imagery Colorization”, IEEE Int. Conf. on Images Processing, Athens, Greece, October 7-10, 2018, pp. 2237-2241.

Aguilera C. A., Aguilera C. and Sappa A., "Melamine Faced Panels Defect Classification beyond the Visible Spectrum", Sensors, Vol. 18, No. 11, October 2018, pp. 1-10.

Charco J., Vintimilla B. and Sappa A., “Deep learning based camera pose estimation in multi-view environment”, 14th IEEE Int. Conf. on Signal Image Technology & Internet Based System, Las Palmas de Gran Canaria, Spain, November 26-29, 2018.

Soria X., Sappa A., “Improving Edge Detection in RGB Images by Adding NIR Channel”, 14th IEEE Int. Conf. on Signal Image Technology & Internet Based System, Las Palmas de Gran Canaria, Spain, November 26-29, 2018.

Suárez P., Sappa A., and Vintimilla B., “Cross-spectral image dehaze through a dense stacked conditional GAN based approach”, 14th IEEE Int. Conf. on Signal Image Technology & Internet Based System, Las Palmas de Gran Canaria, Spain, November 26-29, 2018.

Erick O. Rodrigues, Panos Liatsis, and Aura Conci, Morphological Classifiers, Pattern Recognition, Volume 84, December 2018, Pages 82-96

Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer and Bogdan Raducanu, “Memory Replay GANs: learning to generate images from new categories without forgetting”, Proc. NIPS2018, Montreal, Canada, December 2018

Maria Elena Meza-de-Luna, Juan Ramon Terven Salinas, Bogdan Raducanu, and Joaquin Salas, “Assessing the Influence of Mirroring on the Perception of Professional Competence using Wearable Technology”, TAC - IEEE Transaction on Affective Computing, 9(2):161-175, 2018

Forcael E., Nope A., García-Alvarado R., Bobadilla A. and Rubio-Bellido C., "Architectural and Management Strategies for the Design, Construction and Operation of Energy Efficient and Intelligent Primary Care Centers in Chile", Sustainability, 2019, pp. 1-18.

Costa D. and Duran-Faundez C., "Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives", Electronics, 7, 2018.