Personal profile
Professional profile
Rensso studied Computer Engineering at Universidad Católica San Pablo, graduating in 2009 with a research project in Computer Vision. He completed his master’s degree at the Universidade Federal de Ouro Preto in Brazil and pursued his doctorate at the Universidade Federal de Minas Gerais in Brazil. His main area of expertise is Image and Video Processing. He currently works as a professor at UTEC.
Education/Academic qualification
Bachelor, Computer Engineer, Universidad Católica San Pablo
Bachelor, Computer Engineering, Universidad Católica San Pablo
PhD, Doctoral Degree, Universidade Federal de Minas Gerais
Master, Computer Science, Universidade Federal de Ouro Preto
Researching Topics
- Computer vision
- Machine learning
- Temporal series
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Collaborations and top research areas from the last five years
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Unsupervised Analysis of Cyclist Performance for Route Segmentation and Ranking
Mora-Colque, R. & Schwartz, W. R., 2025, In: Proceedings of the International Conference on Informatics in Control, Automation and Robotics. 1, p. 461-468 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Towards Fast Detection and Classification of Moving Objects
Palma-Ugarte, J., Estacio-Cerquin, L., Flores-Benites, V. & Mora-Colque, R., 2024, Computer Vision, Imaging and Computer Graphics Theory and Applications - 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics, VISIGRAPP 2023, Revised Selected Papers. de Sousa, A. A., Bashford-Rogers, T., Paljic, A., Ziat, M., Hurter, C., Purchase, H., Radeva, P., Farinella, G. M. & Bouatouch, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 161-180 20 p. (Communications in Computer and Information Science; vol. 2103 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Watchlist Challenge: 3rd Open-set Face Detection and Identification
Kasim, F., Boult, T. E., Mora, R., Biesseck, B., Ribeiro, R., Schlueter, J., Repák, T., Vareto, R., Menotti, D., Schwartz, W. R. & Günther, M., 2024, Proceedings - 2024 IEEE International Joint Conference on Biometrics, IJCB 2024. Institute of Electrical and Electronics Engineers Inc., (Proceedings - 2024 IEEE International Joint Conference on Biometrics, IJCB 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
A Lightweight Gaussian-Based Model for Fast Detection and Classification of Moving Objects
Palma-Ugarte, J., Estacio-Cerquin, L., Flores-Benites, V. & Mora-Colque, R., 2023, In: Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 5, p. 173-184 12 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Scopus citations -
Foreground Detection Using an Attention Module and a Video Encoding
Benavides-Arce, A. A., Flores-Benites, V. & Mora-Colque, R., 2022, Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings. Sclaroff, S., Distante, C., Leo, M., Farinella, G. M. & Tombari, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 195-205 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13233 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations