Marcela Carvalho

According to our database, Marcela Carvalho authored at least 8 papers between 2018 and 2024.

Collaborative distances:

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

2024

Physics Based Camera Privacy: Lens and Network Co-Design to the Rescue.

Marius Dufraisse, Marcela Carvalho, Pauline Trouvé-Peloux, Frédéric Champagnat

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

On the Design of Privacy-Aware Cameras: A Study on Deep Neural Networks.

Marcela Carvalho, Oussama Ennaffi, Sylvain Chateau, Samy Ait Bachir

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport.

Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

2020

Multitask Learning of Height and Semantics From Aerial Images.

Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa

IEEE Geosci. Remote. Sens. Lett., 2020

2019

Multi-Task Learning of Height and Semantics from Aerial Images.

Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa

CoRR, 2019

Technical Report: Co-learning of geometry and semantics for online 3D mapping.

Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux

CoRR, 2019

2018

On Regression Losses for Deep Depth Estimation.

Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?

Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018