We’ve got two papers accepted at IEEE CVPR 2016:
- Remote heart-rate estimation with self-adaptive matrix completion [1].
- Recognize emotions from abstract paintings with non-linear matrix completion [2]
Additionally I presented a paper on Recurrent Face Aging from the group.
References
- S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions,” in IEEE International Conference on Computer Vision and Pattern Recognition, Las Vegas, USA, 2016. [ bib pdf ]
@inproceedings{Tulyakov-CVPR-2016, author = {Sergey Tulyakov and Xavier Alameda-Pineda and Elisa Ricci and Lijun Yin and Jeffrey F. Cohn and Nicu Sebe}, title = {Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions}, booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition}, year = {2016}, address = {Las Vegas, USA}, pdf={http://xavirema.eu/wp-content/papercite-data/pdf/Tulyakov-CVPR-2016.pdf} } - X. Alameda-Pineda, E. Ricci, Y. Yan, and N. Sebe, “Recognizing Emotions from Abstract Paintings using Non-Linear Matrix Completion,” in IEEE International Conference on Computer Vision and Pattern Recognition, Las Vegas, USA, 2016. [ bib pdf code ]
@inproceedings{Alameda-CVPR-2016, author = {Xavier Alameda-Pineda and Elisa Ricci and Yan Yan and Nicu Sebe}, title = {Recognizing Emotions from Abstract Paintings using Non-Linear Matrix Completion}, booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition}, year = {2016}, soft = {https://github.com/xavirema/nlmc}, address = {Las Vegas, USA}, pdf={http://xavirema.eu/wp-content/papercite-data/pdf/Alameda-CVPR-2016.pdf} }