Weeds detection in UAV imagery using SLIC and the hough transform. - Mamadou Dian Bah; Adel Hafiane; Raphaël Canals (IPTA, 2017)

Deep Learning with unsupervised data labeling for weeds detection on UAV images. - Mamadou Dian Bah; Adel Hafiane; Raphaël Canals (CoRR, 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 features and One-class classification with unsupervised data for weed detection in UAV images. - Mamadou Dian Bah; Adel Hafiane; Raphaël Canals; Bruno Emile (IPTA, 2019)

CRowNet: Deep Network for Crop Row Detection in UAV Images. - Mamadou Dian Bah; Adel Hafiane; Raphaël Canals (IEEE Access, 2020)

Détection des adventices par imagerie aérienne. (Weed Detection by Aerial Imagery). - Mamadou Dian Bah (2020)

Hierarchical graph representation for unsupervised crop row detection in images. - Mamadou Dian Bah; Adel Hafiane; Raphaël Canals (Expert Syst. Appl., 2023)

Diffusion Models as a Representation Learner for Deepfake Image Detection. - Rajjeshwar Ganguly; Mamadou Dian Bah; Mohamed Dahmane (ICPR (21), 2024)

Enhanced Deepfake Detection Using Frequency Domain Upsampling. - Mamadou Dian Bah; Mohamed Dahmane (VISIGRAPP (2): VISAPP, 2024)

Diffusion-Inspired Dynamic Models for Enhanced Fake Face Detection. - Mamadou Dian Bah; Rajjeshwar Ganguly; Mohamed Dahmane (VISIGRAPP (4): VISAPP, 2024)