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Lucas N. Kirsten
Lucas N. Kirsten
Master in Computer Science, Universidade Federal do Rio Grande do Sul (UFRGS)
Verified email at inf.ufrgs.br - Homepage
Title
Cited by
Cited by
Year
Gaussian bounding boxes and probabilistic intersection-over-union for object detection
JM Llerena, LF Zeni, LN Kirsten, C Jung
arXiv preprint arXiv:2106.06072, 2021
242021
Can we trust bounding box annotations for object detection?
J Murrugarra-Llerena, LN Kirsten, CR Jung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
122022
Gaussian bounding boxes and probabilistic intersection-over-union for object detection. arXiv 2021
JM Llerena, LF Zeni, LN Kristen, C Jung
arXiv preprint arXiv:2106.06072, 0
6
Evaluating deep neural networks for image document enhancement
LN Kirsten, R Piccoli, R Ribani
Proceedings of the 21st ACM Symposium on Document Engineering, 1-4, 2021
32021
Probabilistic Intersection-Over-Union for Training and Evaluation of Oriented Object Detectors
J Murrugarra-Llerena, LN Kirsten, LF Zeni, CR Jung
IEEE Transactions on Image Processing, 2024
12024
Cell Tracking-by-detection using Elliptical Bounding Boxes
LN Kirten, CR Jung
arXiv preprint arXiv:2310.04895, 2023
12023
Edge identification of documents within captured image
R Borges, LN Kirsten, LFB Santos, R Ribani
US Patent App. 18/276,371, 2024
2024
Document-occluding artifact removal
LN Kirsten
US Patent App. 18/024,767, 2024
2024
Oriented Cell Dataset: efficient imagery analyses using angular representation
LN Kirsten, A Angonezi, F Oliveira, J Faccioni, C Cassel, ...
bioRxiv, 2024.04. 05.588327, 2024
2024
Identification of candidate regions in images for predefined object placement
LN Kirsten
US Patent App. 17/850,719, 2023
2023
Document image capture
LN Kirsten, S Tandel, CE Leao, JC Vacaro
US Patent App. 18/028,531, 2023
2023
Captured document image enhancement
LN Kirsten, G Megeto, A Valente, K Bogdan, R Junior
US Patent App. 17/273,416, 2023
2023
Detecting and tracking cells in microscopic images using oriented representations
LN Kirsten
2023
FedBID and FedDocs: A Dataset and System for Federated Document Analysis.
D Perazzo, T de Souza, P Masur, E de Amorim, P de Oliveira, ...
VISIGRAPP (5: VISAPP), 551-558, 2023
2023
Extraction of segmentation masks for documents within captured image
LN Kirsten, R Ribani, R Borges
US Patent App. 17/215,305, 2022
2022
DDocE: Deep Document Enhancement with Multi-scale Feature Aggregation and Pixel-Wise Adjustments
KOM Bogdan, GAS Megeto, R Leal, G Souza, AC Valente, LN Kirsten
International Conference on Document Analysis and Recognition, 229-244, 2021
2021
Implementação digital da caixa Leslie em espaço livre
LN Kirsten
2018
IMAGE QUALITY ENHANCEMENT OF SCANNED PHOTOS: COMPARISON OF DEEP LEARNING TECHNIQUES
VR Santosb, T Paganob, R Borgese, L Kirstene, L Ortegac, M Matosc, ...
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