Lucas N. Kirsten

According to our database, Lucas N. Kirsten authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Oriented Cell Dataset (OCD).

Angelo Angonezi, Fernanda Oliveira, Juliano Faccioni, Camila Cassel, Débora Santos de Sousa, Samlai Vedovatto, Guido Lenz, Cláudio R. Jung, Lucas N. Kirsten

Dataset, May, 2024

Probabilistic Intersection-Over-Union for Training and Evaluation of Oriented Object Detectors.

Jeffri Murrugarra-Llerena, Lucas N. Kirsten, Luis Felipe de Araujo Zeni, Cláudio R. Jung

IEEE Trans. Image Process., 2024

Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture.

Lucas N. Kirsten

CoRR, 2024

2023

Cell Tracking-by-detection using Elliptical Bounding Boxes.

Lucas N. Kirsten, Cláudio R. Jung

CoRR, 2023

FedBID and FedDocs: A Dataset and System for Federated Document Analysis.

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

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022

Can we trust bounding box annotations for object detection?

Jeffri Murrugarra-Llerena, Lucas N. Kirsten, Cláudio R. Jung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Gaussian Bounding Boxes and Probabilistic Intersection-over-Union for Object Detection.

Jeffri Murrugarra-Llerena, Luis Felipe de Araujo Zeni, Lucas N. Kirsten, Cláudio R. Jung

CoRR, 2021

DDocE: Deep Document Enhancement with Multi-scale Feature Aggregation and Pixel-Wise Adjustments.

Karina Olga Maizman Bogdan, Guilherme A. S. Megeto, Rovilson Leal, Gustavo de Moura Souza, Augusto C. Valente, Lucas N. Kirsten

Proceedings of the Document Analysis and Recognition, 2021

Evaluating deep neural networks for image document enhancement.

Lucas N. Kirsten, Ricardo Piccoli, Ricardo Ribani

Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021