Human4d

Human4d

Difference between revisions of "Publications"

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#F. Principi, S. Berretti, C. Ferrari,  N. Otberdout, M. Daoudi, A. Del Bimbo, 4D Facial Expression Dataset, IEEE International Conference on Automatic Face and Gesture Recognition 2023, Waikoloa, Hawaii, USA.https://arxiv.org/pdf/2210.16807.pdf
 
#F. Principi, S. Berretti, C. Ferrari,  N. Otberdout, M. Daoudi, A. Del Bimbo, 4D Facial Expression Dataset, IEEE International Conference on Automatic Face and Gesture Recognition 2023, Waikoloa, Hawaii, USA.https://arxiv.org/pdf/2210.16807.pdf
 
#K. Zou, S. Faisan, B. Yu, S. Valette, H. Seo, 4D Facial Expression Diffusion Model, http://arxiv.org/abs/2303.16611.
 
#K. Zou, S. Faisan, B. Yu, S. Valette, H. Seo, 4D Facial Expression Diffusion Model, http://arxiv.org/abs/2303.16611.
 +
#K. Zou, B. Yu, H. Seo,3D Facial Expression Generator Based on Transformer VAE, IEEE ICIP 2023.

Revision as of 21:30, 22 June 2023

  1. Luo G., Deng, Z., Jin, X. Zhao, X., Zeng, W., Xie, W. Seo, H., “Spatio-temporal Segmentation based Adaptive Compression of Dynamic Mesh Sequences”, ACM Trans. Multimedia Computing, Communications, and Applications, Article No.14, Vol. 16, No. 1, 2020.
  2. Seo H., Luo G., " Generating 3D Facial Expressions with Recurrent Neural Networks", In: Thalmann N.M., Zhang J.J., Ramanathan M., Thalmann D. (eds) Intelligent Scene Modeling and Human-Computer Interaction. Human–Computer Interaction Series. Springer, https://doi.org/10.1007/978-3-030-71002-6_11, 2021.
  3. Seo H., Zou K., Cordier F., "DSNet: Dynamic skin deformation prediction by Recurrent Neural Network", Proc. Computer Graphics International 2021, Lecture Notes in Computer Science, Springer Verlag, 2021.
  4. E. Pierson, J-C. Alvarez-Paiva, M. Daoudi, "Projection-based classification of surfaces for 3D human mesh sequence retrieval" Computers & Graphics 2021. https://arxiv.org/abs/2111.13985
  5. E. Pierson, M. Daoudi, A-B. Tumpach, "A Riemannian Framework for Analysis of Human Body Surface", Winter Conference on Applications of Computer Vision, WACV 2022.https://arxiv.org/abs/2108.11449
  6. N. Otberdout, C. Ferrari, M. Daoudi, S. Berretti, A. Del Bimbo, Sparse to Dense Dynamic 3D Facial Expression Generation, IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 19-24 juin 2022, New Orleans-Luoisiana (USA).https://arxiv.org/abs/2105.07463
  7. E. Pierson, M. Daoudi, S. Arguillere, 3D Shape Sequence of Human Comparison using Current and Varifolds, European Conference on Computer Vision, Oct. 23-27 2022, Tel Aviv.https://arxiv.org/abs/2207.12485
  8. Lemeunier, C., Denis, F., Lavoué, G., & Dupont, F. (2022). Representation learning of 3D meshes using an Autoencoder in the spectral domain. In Computers & Graphics (Vol. 107, pp. 131–143). Elsevier BV. https://doi.org/10.1016/j.cag.2022.07.011
  9. F. Principi, S. Berretti, C. Ferrari, N. Otberdout, M. Daoudi, A. Del Bimbo, 4D Facial Expression Dataset, IEEE International Conference on Automatic Face and Gesture Recognition 2023, Waikoloa, Hawaii, USA.https://arxiv.org/pdf/2210.16807.pdf
  10. K. Zou, S. Faisan, B. Yu, S. Valette, H. Seo, 4D Facial Expression Diffusion Model, http://arxiv.org/abs/2303.16611.
  11. K. Zou, B. Yu, H. Seo,3D Facial Expression Generator Based on Transformer VAE, IEEE ICIP 2023.