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2020 – today
- 2024
[j1]Jeffri Murrugarra-Llerena
, Lucas N. Kirsten, Luis Felipe de Araujo Zeni, Cláudio R. Jung:
Probabilistic Intersection-Over-Union for Training and Evaluation of Oriented Object Detectors. IEEE Trans. Image Process. 33: 671-681 (2024)- [d1]Angelo Angonezi, Fernanda Oliveira, Juliano Faccioni, Camila Cassel, Débora Santos de Sousa, Samlai Vedovatto, Guido Lenz, Cláudio R. Jung, Lucas N. Kirsten:
Oriented Cell Dataset (OCD). IEEE DataPort, 2024
- [i4]Lucas N. Kirsten:
Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture. CoRR abs/2407.00301 (2024) - 2023
- [c4]Daniel Perazzo, Thiago de Souza, Pietro Masur, Eduardo de Amorim, Pedro de Oliveira, Kelvin B. da Cunha, Lucas Maggi, Francisco Simões, Veronica Teichrieb, Lucas N. Kirsten:
FedBID and FedDocs: A Dataset and System for Federated Document Analysis. VISIGRAPP (5: VISAPP) 2023: 551-558 - [i3]Lucas N. Kirsten, Cláudio R. Jung:
Cell Tracking-by-detection using Elliptical Bounding Boxes. CoRR abs/2310.04895 (2023) - 2022
- [c3]Jeffri Murrugarra-Llerena, Lucas N. Kirsten, Cláudio R. Jung:
Can we trust bounding box annotations for object detection? CVPR Workshops 2022: 4812-4821 - 2021
- [c2]Lucas N. Kirsten, Ricardo Piccoli, Ricardo Ribani:
Evaluating deep neural networks for image document enhancement. DocEng 2021: 24:1-24:4 - [c1]Karina Olga Maizman Bogdan, Guilherme A. S. Megeto, Rovilson Leal, Gustavo de Moura Souza, Augusto C. Valente, Lucas N. Kirsten:
DDocE: Deep Document Enhancement with Multi-scale Feature Aggregation and Pixel-Wise Adjustments. ICDAR Workshops (1) 2021: 229-244 - [i2]Jeffri Murrugarra-Llerena, Luis Felipe de Araujo Zeni, Lucas N. Kirsten, Cláudio R. Jung:
Gaussian Bounding Boxes and Probabilistic Intersection-over-Union for Object Detection. CoRR abs/2106.06072 (2021) - [i1]Lucas N. Kirsten, Ricardo Piccoli, Ricardo Ribani:
Evaluating Deep Neural Networks for Image Document Enhancement. CoRR abs/2106.15286 (2021)
Coauthor Index
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