| Partial light field tomographic reconstruction from a fixed-camera focal stack A Mousnier, E Vural, C Guillemot arXiv preprint arXiv:1503.01903, 2015 | 101 | 2015 |
| Tangent space estimation for smooth embeddings of Riemannian manifolds ® H Tyagi, E Vural, P Frossard Information and Inference: A Journal of the IMA 2 (1), 69-114, 2013 | 76 | 2013 |
| Domain adaptation on graphs by learning aligned graph bases M Pilancı, E Vural IEEE Transactions on Knowledge and Data Engineering 34 (2), 587-600, 2020 | 67 | 2020 |
| Out-of-sample generalizations for supervised manifold learning for classification E Vural, C Guillemot IEEE Transactions on Image Processing 25 (3), 1410-1424, 2016 | 45 | 2016 |
| A study of the classification of low-dimensional data with supervised manifold learning E Vural, C Guillemot Journal of Machine Learning Research 18 (157), 1-55, 2018 | 35 | 2018 |
| Nonlinear supervised dimensionality reduction via smooth regular embeddings C Örnek, E Vural Pattern Recognition 87, 55-66, 2019 | 28 | 2019 |
| Analysis of airborne LiDAR point clouds with spectral graph filtering E Bayram, P Frossard, E Vural, A Alatan IEEE geoscience and remote sensing letters 15 (8), 1284-1288, 2018 | 28 | 2018 |
| Learning smooth pattern transformation manifolds E Vural, P Frossard IEEE transactions on image processing 22 (4), 1311-1325, 2012 | 15 | 2012 |
| Mask combination of multi-layer graphs for global structure inference E Bayram, D Thanou, E Vural, P Frossard IEEE Transactions on Signal and Information Processing over Networks 6, 394-406, 2020 | 12 | 2020 |
| Analysis of descent-based image registration E Vural, P Frossard SIAM Journal on Imaging Sciences 6 (4), 2310-2349, 2013 | 12 | 2013 |
| Partial light field tomographic reconstruction from a fixed-camera focal stack. arXiv 2015 A Mousnier, E Vural, C Guillemot arXiv preprint arXiv:1503.01903, 0 | 11 | |
| Geometry-aware neighborhood search for learning local models for image superresolution JC Ferreira, E Vural, C Guillemot IEEE Transactions on Image Processing 25 (3), 1354-1367, 2016 | 10 | 2016 |
| Estimating partially observed graph signals by learning spectrally concentrated graph kernels G Turhan, E Vural 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 7 | 2021 |
| Generalization bounds for domain adaptation via domain transformations E Vural | 7 | 2018 |
| Outlier removal for sparse 3d reconstruction from video E Vural, AA Alatan 2008 3DTV Conference: The True Vision-Capture, Transmission and Display of …, 2008 | 7 | 2008 |
| Learning graph ARMA processes from time-vertex spectra ET Güneyi, B Yaldız, A Canbolat, E Vural IEEE Transactions on Signal Processing 72, 47-56, 2023 | 6 | 2023 |
| Domain adaptation on graphs by learning graph topologies: theoretical analysis and an algorithm E Vural Turkish Journal of Electrical Engineering and Computer Sciences 27 (3), 1619 …, 2019 | 6 | 2019 |
| Domain adaptation via transferring spectral properties of label functions on graphs M Pilancı, E Vural 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop …, 2016 | 5 | 2016 |
| Analysis of image registration with tangent distance E Vural, P Frossard SIAM journal on imaging sciences 7 (4), 2860-2915, 2014 | 5 | 2014 |
| Learning pattern transformation manifolds for classification E Vural, P Frossard 2012 19th IEEE International Conference on Image Processing, 1165-1168, 2012 | 5 | 2012 |
Pascal FrossardEcole Polytechnique Fédérale de Lausanne, EPFLVerified email at epfl.ch
