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Ricardo Silveira Cabral
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Books and Theses
- 2015
- [b1]Ricardo Silveira Cabral:
Unifying Low-Rank Models for Visual Learning. Carnegie Mellon University, USA, 2015
Journal Articles
- 2016
- [j3]Dong Huang, Ricardo Silveira Cabral, Fernando De la Torre:
Robust Regression. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 363-375 (2016) - [j2]Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre:
Feature and Region Selection for Visual Learning. IEEE Trans. Image Process. 25(3): 1084-1094 (2016) - 2015
- [j1]Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira, Alexandre Bernardino:
Matrix Completion for Weakly-Supervised Multi-Label Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 121-135 (2015)
Conference and Workshop Papers
- 2022
- [c9]Zoe Landgraf, Alexander Sorkine-Hornung, Ricardo Silveira Cabral:
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations. ICML 2022: 11969-11984 - 2016
- [c8]Jayakorn Vongkulbhisal, Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira:
Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories. CVPR 2016: 5639-5647 - 2014
- [c7]Ehsan Adeli-Mosabbeb, Ricardo Silveira Cabral, Fernando De la Torre, Mahmood Fathy:
Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization. ACCV (5) 2014: 241-258 - [c6]Ricardo Silveira Cabral, João Paulo Costeira, Alexandre Bernardino, Fernando De la Torre:
Optimal no-intersection multi-label binary localization for time series using totally unimodular linear programming. ICIP 2014: 3127-3130 - 2013
- [c5]Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira, Alexandre Bernardino:
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition. ICCV 2013: 2488-2495 - 2012
- [c4]Dong Huang, Ricardo Silveira Cabral, Fernando De la Torre:
Robust Regression. ECCV (4) 2012: 616-630 - 2011
- [c3]Ricardo Silveira Cabral, João Paulo Costeira, Fernando De la Torre, Alexandre Bernardino, Gustavo Carneiro:
Time and order estimation of paintings based on visual features and expert priors. Computer Vision and Image Analysis of Art 2011: 78690G - [c2]Ricardo Silveira Cabral, João Paulo Costeira, Fernando De la Torre, Alexandre Bernardino:
Fast incremental method for matrix completion: An application to trajectory correction. ICIP 2011: 1417-1420 - [c1]Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira, Alexandre Bernardino:
Matrix Completion for Multi-label Image Classification. NIPS 2011: 190-198
Informal and Other Publications
- 2022
- [i2]Zoe Landgraf, Alexander Sorkine-Hornung, Ricardo Silveira Cabral:
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations. CoRR abs/2202.04713 (2022) - 2014
- [i1]Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre:
Feature and Region Selection for Visual Learning. CoRR abs/1407.5245 (2014)
Coauthor Index
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