André O. Françani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Multiclass Learning

Cell Segmentation

Visual Odometry

Top Venues

Publications

André O. Françani, Marcos R. O. A. Máximo
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning. CoRR (2024)
Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl
An Instance Segmentation Dataset of Yeast Cells in Microstructures. EMBC (2023)
André O. Françani, Marcos R. O. A. Máximo
Transformer-based model for monocular visual odometry: a video understanding approach. CoRR (2023)
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)
Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl
An Instance Segmentation Dataset of Yeast Cells in Microstructures. CoRR (2023)
André O. Françani
Analysis of the performance of U-Net neural networks for the segmentation of living cells. CoRR (2022)
André O. Françani, Marcos R. O. A. Máximo
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. CoRR (2022)
Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
Yeast cell segmentation in microstructured environments with deep learning. Biosyst. 211 (2022)
André O. Françani, Marcos R. O. de A. Máximo
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. LARS/SBR/WRE (2022)
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)
Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CIBCB (2020)
Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. CoRR (2020)