Prediction of visual attention with Deep CNN for studies of neurodegenerative diseases. - Souad Chaabouni; Francois Tison; Jenny Benois-Pineau; Chokri Ben Amar (CBMI, 2016)

Transfer learning with deep networks for saliency prediction in natural video. - Souad Chaabouni; Jenny Benois-Pineau; Chokri Ben Amar (ICIP, 2016)

Deep Learning for Saliency Prediction in Natural Video. - Souad Chaabouni; Jenny Benois-Pineau; Ofer Hadar; Chokri Ben Amar (CoRR, 2016)

Deep Saliency: Prediction of Interestingness in Video with CNN. - Souad Chaabouni; Jenny Benois-Pineau; Akka Zemmari; Chokri Ben Amar (Visual Content Indexing and Retrieval with Psycho-Visual Models, 2017)

Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia. - Souad Chaabouni; Jenny Benois-Pineau; Francois Tison; Chokri Ben Amar; Akka Zemmari (Multim. Tools Appl., 2017)

Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives. (Study and prediction of visual attention with deep learning networks in view of assessment of patients with neurodegenerative diseases). - Souad Chaabouni (2017)

Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology. - Stefan Petscharnig; Klaus Schöffmann; Jenny Benois-Pineau; Souad Chaabouni; Jörg Keckstein (CBMS, 2018)

Impact of Saliency and Gaze Features on Visual Control: Gaze-Saliency Interest Estimator. - Souad Chaabouni; Frédéric Precioso (ACM Multimedia, 2019)

ChaboNet : Design of a deep CNN for prediction of visual saliency in natural video. - Souad Chaabouni; Jenny Benois-Pineau; Chokri Ben Amar (J. Vis. Commun. Image Represent., 2019)