Lucas N. Kirsten

According to our database, Lucas N. Kirsten authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset.

Manjushree B. Aithal, Rosaura G. VidalMata, Manikandtan Kartha, Gong Chen, Eashan Adhikarla, Lucas N. Kirsten, Zhicheng Fu, Nikhil Ambha Madhusudhana, Joe Nasti

CoRR, March, 2025

Cell tracking-by-detection using elliptical bounding boxes.

Lucas N. Kirsten, Cláudio R. Jung

J. Vis. Commun. Image Represent., 2025

Oriented Cell Dataset: A Dataset and Benchmark for Oriented Cell Detection and Applications.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

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