Nombre de documents


Communication dans un congrès4 documents

  • Souad Chaabouni, Jenny Benois-Pineau, Ofer Hadar. Prediction of visual saliency in video with deep CNNs. Andrew G. Tescher. SPIE Optical Engineering+ Applications, Aug 2016, San Diego, California, United States. Applications of Digital Image Processing, 9971, pp.99711Q-99711Q-14, 2016, Applications of Digital Image Processing XXXIX. 〈10.1117/12.2238956〉. 〈hal-01436651〉
  • Souad Chaabouni, Jenny Benois-Pineau, Chokri Ben Amar. Transfer learning with deep networks for saliency prediction in natural vide. Image Processing (ICIP), 2016 IEEE International Conference on, Sep 2016, Phoenix, Arizona, United States. IEEE, IEEE International Conference on Image Processing (ICIP), pp.1604-1608, 2016, 2016 IEEE International Conference on Image Processing (ICIP). 〈10.1109/ICIP.2016.7532629〉. 〈hal-01436695〉
  • Souad Chaabouni, François Tison, Jenny Benois-Pineau. Prediction of visual attention with Deep CNN for studies of neurodegenerative diseases. Content-Based Multimedia Indexing (CBMI), 2016 14th International Workshop on, Jun 2016, Bucharest, Romania. pp.1-6, 2016, International Workshop on Content-Based Multimedia Indexing. 〈10.1109/CBMI.2016.7500243〉. 〈hal-01436845〉
  • Souad Chaabouni, Salma Jamoussi, Yassine Benayed. Particle swarm optimization for support vector clustering Separating hyper-plane of unlabeled data. IEEE. 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Apr 2013, Hammamet, Tunisia. IEEE, 2013, 〈10.1109/ICMSAO.2013.6552696〉. 〈hal-01223462〉

Pré-publication, Document de travail1 document

  • Souad Chaabouni, Jenny Benois-Pineau, Ofer Hadar, Chokri Ben Amar. Deep Learning for Saliency Prediction in Natural Video. 2016. 〈hal-01251614〉