Elif Vural
Title
Cited by
Cited by
Year
Partial light field tomographic reconstruction from a fixed-camera focal stack
A Mousnier, E Vural, C Guillemot
arXiv preprint arXiv:1503.01903, 2015
592015
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
512013
Out-of-sample generalizations for supervised manifold learning for classification
E Vural, C Guillemot
IEEE Transactions on Image Processing 25 (3), 1410-1424, 2016
302016
Nonlinear supervised dimensionality reduction via smooth regular embeddings
C Örnek, E Vural
Pattern Recognition 87, 55-66, 2019
162019
A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning.
E Vural, C Guillemot
J. Mach. Learn. Res. 18 (1), 5741-5795, 2017
142017
Learning smooth pattern transformation manifolds
E Vural, P Frossard
IEEE transactions on image processing 22 (4), 1311-1325, 2012
142012
Analysis of descent-based image registration
E Vural, P Frossard
SIAM Journal on Imaging Sciences 6 (4), 2310-2349, 2013
112013
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
92016
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
72018
Outlier removal for sparse 3d reconstruction from video
E Vural, AA Alatan
2008 3DTV Conference: The True Vision-Capture, Transmission and Display of …, 2008
72008
Multi-modal learning with generalizable nonlinear dimensionality reduction
S Kaya, E Vural
2019 IEEE International Conference on Image Processing (ICIP), 2139-2143, 2019
42019
Generalization bounds for domain adaptation via domain transformations
E Vural
42018
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
42016
Learning pattern transformation manifolds for classification
E Vural, P Frossard
2012 19th IEEE International Conference on Image Processing, 1165-1168, 2012
42012
Domain adaptation on graphs by learning aligned graph bases
M Pilanci, E Vural
IEEE Transactions on Knowledge and Data Engineering, 2020
32020
Discretization of parametrizable signal manifolds
E Vural, P Frossard
IEEE Transactions on Image Processing 20 (12), 3621-3633, 2011
32011
Curvature analysis of pattern transformation manifolds
E Vural, P Frossard
2010 IEEE International Conference on Image Processing, 2689-2692, 2010
32010
Distance-based discretization of parametric signal manifolds
E Vural, P Frossard
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
32010
Geometry-aware neighborhood search for learning local models for image reconstruction
JC Ferreira, E Vural, C Guillemot
arXiv preprint arXiv:1505.01429, 2015
22015
A study of image analysis with tangent distance
E Vural, P Frossard
arXiv preprint arXiv:1401.2529, 2014
22014
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Articles 1–20