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ORCIDAndré O. Françani
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2020 – today
- 2024
[i6]André O. Françani, Marcos R. O. A. Máximo:
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning. CoRR abs/2401.10857 (2024)- 2023
- [c5]Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl:
An Instance Segmentation Dataset of Yeast Cells in Microstructures. EMBC 2023: 1-4 - [c4]André O. Françani, Marcos Ricardo Omena de Albuquerque Máximo:
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning. LARS/SBR/WRE 2023: 409-414 - [i5]Christoph Reich
, Tim Prangemeier, André O. Françani, Heinz Koeppl:
An Instance Segmentation Dataset of Yeast Cells in Microstructures. CoRR abs/2304.07597 (2023) - [i4]André O. Françani, Marcos R. O. A. Máximo:
Transformer-based model for monocular visual odometry: a video understanding approach. CoRR abs/2305.06121 (2023) - 2022
- [j1]Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Yeast cell segmentation in microstructured environments with deep learning. Biosyst. 211: 104557 (2022) - [c3]André O. Françani, Marcos R. O. de A. Máximo:
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. LARS/SBR/WRE 2022: 1-6 - [i3]André O. Françani:
Analysis of the performance of U-Net neural networks for the segmentation of living cells. CoRR abs/2210.01538 (2022) - [i2]André O. Françani, Marcos R. O. A. Máximo:
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. CoRR abs/2210.01723 (2022) - 2021
- [c2]Débora F. Dos Santos, André O. Françani, Marcos R. O. A. Máximo, Arthur S. C. Ferreira:
Performance Comparison of Convolutional Neural Network Models for Object Detection in Tethered Balloon Imagery. LARS/SBR/WRE 2021: 246-251 - 2020
- [c1]Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CIBCB 2020: 1-8 - [i1]Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CoRR abs/2011.08062 (2020)
Coauthor Index
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