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Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology.

S. Petscharnig, K. Schöffmann, J. Benois-Pineau, S. Chaabouni, and J. Keckstein. CBMS, page 369-374. IEEE Computer Society, (2018)

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Deep Saliency: Prediction of Interestingness in Video with CNN.S. Chaabouni, J. Benois-Pineau, A. Zemmari, and C. Amar. Visual Content Indexing and Retrieval with Psycho-Visual Models, Springer, (2017)Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology.S. Petscharnig, K. Schöffmann, J. Benois-Pineau, S. Chaabouni, and J. Keckstein. CBMS, page 369-374. IEEE Computer Society, (2018)Prediction of visual attention with Deep CNN for studies of neurodegenerative diseases.S. Chaabouni, F. Tison, J. Benois-Pineau, and C. Amar. CBMI, page 1-6. IEEE, (2016)ChaboNet : Design of a deep CNN for prediction of visual saliency in natural video.S. Chaabouni, J. Benois-Pineau, and C. Amar. J. Visual Communication and Image Representation, (2019)Impact of Saliency and Gaze Features on Visual Control: Gaze-Saliency Interest Estimator.S. Chaabouni, and F. Precioso. ACM Multimedia, page 1367-1374. ACM, (2019)Transfer learning with deep networks for saliency prediction in natural video.S. Chaabouni, J. Benois-Pineau, and C. Amar. ICIP, page 1604-1608. IEEE, (2016)Deep Learning for Saliency Prediction in Natural Video.S. Chaabouni, J. Benois-Pineau, O. Hadar, and C. Amar. CoRR, (2016)

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Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology.

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Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology.