Author:
Daoudi Mohamed,Otberdout Naima,Paiva Juan-Carlos Álvarez
Publisher
Springer International Publishing
Reference22 articles.
1. Szczapa, B., Daoudi, M., Berretti, S., Bimbo, A.D., Pala, P., Massart, E.M.: Fitting, comparison, and alignment of trajectories on positive semi-definite matrices with application to action recognition. In: 2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), 27–28 October 2019, pp. 1241–1250 (2019)
2. Kacem, A., Daoudi, M., Ben Amor, B., Berretti, S., Alvarez-Paiva, J.C.: A novel geometric framework on Gram matrix trajectories for human behavior understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(1), 1–14 (2020)
3. NOtberdout, N., Kacem, A., Daoudi, M., Ballihi, L., Berretti, S.: Automatic analysis of facial expressions based on deep covariance trajectories. IEEE Trans. Neural Netw. Learn. Syst. 31, 3892–3905 (2019)
4. Kacem, A., Daoudi, M., Ben Amor, B., Alvarez-Paiva, J.C.: A novel space-time representation on the positive semidefinite cone for facial expression recognition. In: IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, 22–29 October 2017, pp. 3199–3208 (2017)
5. Abdel-Ghaffar, E.A., Daoudi, M.: Emotion recognition from multidimensional electroencephalographic signals on the manifold of symmetric positive definite matrices. In: IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) 2020, pp. 354–359 (2020)
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1 articles.
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