Jordi Salvador

Contributions while at GPI


Journal Articles

2016
E. Perez-Pellitero, Salvador, J., Ruiz-Hidalgo, J., and Rosenhahn, B., “Antipodally Invariant Metrics For Fast Regression-Based Super-Resolution”, IEEE Transactions on Image Processing, vol. 25, no. 6, p. 2468, 2016. (5.48 MB)
2013
J. Salvador and Casas, J. R., “Multi-View Video Representation Based on Fast Monte Carlo Surface Reconstruction”, IEEE Transactions on Image Processing, vol. 22, no. 9, pp. 3342 - 3352, 2013. (6.16 MB)

Book Chapters and Books

2008
C. Canton-Ferrer, Salvador, J., Casas, J. R., and Pardàs, M., “Multi-Person Tracking Strategies Based on Voxel Analysis”, in Multimodal Technologies for Perception of Humans, vol. 4625, Berlin / Heidelberg: Springer, 2008, pp. 91–103.

Conference Papers

2016
E. Perez-Pellitero, Salvador, J., Ruiz-Hidalgo, J., and Rosenhahn, B., “Half Hypersphere Confinement for Piecewise Linear Regression”, in IEEE Winter Conference on Applications of Computer Vision, Lake Placid, NY, USA, 2016. (7.01 MB)
E. Perez-Pellitero, Salvador, J., Ruiz-Hidalgo, J., and Rosenhahn, B., “PSyCo: Manifold Span Reduction for Super Resolution”, in IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, Nevada, USA, 2016. (1.56 MB)
2015
E. Perez-Pellitero, Salvador, J., Ruiz-Hidalgo, J., and Rosenhahn, B., “Accelerating Super-Resolution for 4K Upscaling”, in IEEE International Conference on Consumer Electronics, Las Vegas, NV, USA, 2015. (1.07 MB)
2014
I. Bosch, Salvador, J., Perez-Pellitero, E., and Ruiz-Hidalgo, J., “An Epipolar-Constrained Prior for Efficient Search in Multi-View Scenarios”, in EUSIPCO, Lisbon, 2014. (3.69 MB)
E. Perez-Pellitero, Salvador, J., Torres-Xirau, I., Ruiz-Hidalgo, J., and Rosenhahn, B., “Fast Super-Resolution via Dense Local Training and Inverse Regressor Search”, in Asian Conference in Computer Vision (ACCV), Singapore, 2014. (19.06 MB)

Theses

2011
J. Salvador, “Surface Reconstruction for Multi-View Video”, Universitat Politècnica de Catalunya (UPC), 2011. (4.74 MB)

Demos and Resources