Publications
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A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields. Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III. Springer, Cham
(2016). Datasets and Benchmarks for Densely Sampled 4D Light Fields. Vision, Modeling & Visualization. 225--226
(2013). (2013).
Globally Consistent Depth Labeling of 4D Light Fields. CVPR. Proceedings. 41-48
(2012). Globally Consistent Depth Labeling of 4D Lightfields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
(2012). Globally Consistent Multi-Label Assignment on the Ray Space of 4D Light Fields. CVPR 2013. Proceedings. 1011-1018
(2013). Globally consistent multi-label assignment on the ray space of 4D light fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
(2013). The Natural Vectorial Total Variation which Arises from Geometric
Measure Theory. SIAM Journal on Imaging Sciences. 5 537-563
(2012). The natural vectorial total variation which arises from geometric measure theory. SIAM Journal on Imaging Sciences
(2012). Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images. Pattern Recognition. Springer. 1--10
(2013). Spatial and Angular Variational Superresolution of 4D Light Fields. ECCV 2012. Proceedings, Part 5. Springer. 7576 608-621
(2012). Spatial and Angular Variational Super-Resolution of 4D Light Fields. European Conference on Computer Vision (ECCV)
(2012). Spherical Light Fields. Proceedings of the British Machine Vision Conference. BMVA Press
(2014). A super-resolution framework for high-accuracy multiview reconstruction. Int. J. Comp. Vision. 106 172--191
(2014). Tight convex relaxations for vector-valued labeling. SIAM Journal on Imaging Sciences
(2013). Variational light field analysis for disparity estimation and super-resolution. IEEE Trans. Pattern Analysis Machine Intelligence. 36 606--619
(2014). The Variational Structure of Disparity and Regularization of 4D Light Fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
(2013).