| 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 | 29 | 2021 |
| 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 | 12 | 2022 |
| 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 | 7 | |
| 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 | 4 | 2021 |
| 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 | 1 | 2024 |
| Cell tracking-by-detection using elliptical bounding boxes LN Kirten, CR Jung arXiv preprint arXiv:2310.04895, 2023 | 1 | 2023 |
| Extraction of segmentation masks for documents within captured image LN Kirsten, R Ribani, R Borges US Patent App. 17/215,305, 2022 | 1 | 2022 |
| 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 |
| 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 |
| UFRGS-BR LN Kirsten, CR Jung | | |
| IMAGE QUALITY ENHANCEMENT OF SCANNED PHOTOS: COMPARISON OF DEEP LEARNING TECHNIQUES VR Santosb, T Paganob, R Borgese, L Kirstene, L Ortegac, M Matosc, ... | | |
