Mamadou Dian Bah

According to our database, Mamadou Dian Bah authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

Diffusion-Inspired Dynamic Models for Enhanced Fake Face Detection.

Mamadou Dian Bah, Rajjeshwar Ganguly, Mohamed Dahmane

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Enhanced Deepfake Detection Using Frequency Domain Upsampling.

Mamadou Dian Bah, Mohamed Dahmane

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Diffusion Models as a Representation Learner for Deepfake Image Detection.

Rajjeshwar Ganguly, Mamadou Dian Bah, Mohamed Dahmane

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Hierarchical graph representation for unsupervised crop row detection in images.

Mamadou Dian Bah, Adel Hafiane, Raphaël Canals

Expert Syst. Appl., April, 2023

2020

Détection des adventices par imagerie aérienne. (Weed Detection by Aerial Imagery).

Mamadou Dian Bah

PhD thesis, 2020

CRowNet: Deep Network for Crop Row Detection in UAV Images.

Mamadou Dian Bah, Adel Hafiane, Raphaël Canals

IEEE Access, 2020

2019

Deep features and One-class classification with unsupervised data for weed detection in UAV images.

Mamadou Dian Bah, Adel Hafiane, Raphaël Canals, Bruno Emile

Proceedings of the Ninth International Conference on Image Processing Theory, 2019

2018

Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images.

Mamadou Dian Bah, Adel Hafiane, Raphaël Canals

Remote. Sens., 2018

Deep Learning with unsupervised data labeling for weeds detection on UAV images.

Mamadou Dian Bah, Adel Hafiane, Raphaël Canals

CoRR, 2018

2017

Weeds detection in UAV imagery using SLIC and the hough transform.

Mamadou Dian Bah, Adel Hafiane, Raphaël Canals

Proceedings of the Seventh International Conference on Image Processing Theory, 2017