SLIC Superpixels Compared to State-of-the-Art Superpixel Methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.11, pp.2274-2282, 2012. ,
DOI : 10.1109/TPAMI.2012.120
Symmetrical Dense Optical Flow Estimation with Occlusions Detection, International Journal of Computer Vision, vol.45, issue.3, pp.371-385, 2007. ,
DOI : 10.1007/s11263-007-0041-4
URL : https://hal.archives-ouvertes.fr/inria-00427151
Learning Spatiotemporal T-Junctions for Occlusion Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005. ,
DOI : 10.1109/CVPR.2005.206
Sparse Occlusion Detection with Optical Flow, International Journal of Computer Vision, vol.31, issue.5, pp.322-338, 2012. ,
DOI : 10.1007/s11263-011-0490-7
A TV-L1 Optical Flow Method with Occlusion Detection, Pattern Recognition, vol.7476, pp.31-40, 2012. ,
DOI : 10.1007/978-3-642-32717-9_4
Patchmatch: a randomized correspondence algorithm for structural image editing, ACM Transactions on Graphics, issue.3, pp.28-3724, 2009. ,
Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling, 2007 IEEE 11th International Conference on Computer Vision, 2007. ,
DOI : 10.1109/ICCV.2007.4408996
Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1222-1239, 2001. ,
DOI : 10.1109/34.969114
Advances in computational stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.8, pp.993-1008, 2003. ,
DOI : 10.1109/TPAMI.2003.1217603
A Naturalistic Open Source Movie for Optical Flow Evaluation, ECCV 2012 ,
DOI : 10.1007/978-3-642-33783-3_44
Fast Approximate Energy Minimization with Label Costs, International Journal of Computer Vision, vol.18, issue.9, pp.1-27, 2012. ,
DOI : 10.1007/s11263-011-0437-z
Detecting Occlusions as an Inverse Problem, Journal of Mathematical Imaging and Vision, vol.34, issue.9, pp.1-18, 2015. ,
DOI : 10.1007/s10851-015-0596-6
Aggregation of local parametric candidates with exemplar-based occlusion handling for optical flow, Computer Vision and Image Understanding, vol.145, pp.81-94, 2016. ,
DOI : 10.1016/j.cviu.2015.11.020
URL : https://hal.archives-ouvertes.fr/hal-01001758
Learning to find occlusion regions, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995517
Occlusion-Aware Optical Flow Estimation, IEEE Transactions on Image Processing, vol.17, issue.8, pp.1443-1451, 2008. ,
DOI : 10.1109/TIP.2008.925381
An Online Learning Approach to Occlusion Boundary Detection, IEEE Transactions on Image Processing, vol.21, issue.1, pp.252-261, 2012. ,
DOI : 10.1109/TIP.2011.2162420
Handling occlusions in dense multi-view stereo, 2001. ,
Computing visual correspondence with occlusions using graph cuts, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001. ,
DOI : 10.1109/ICCV.2001.937668
Joint bilateral upsampling Robust multiresolution estimation of parametric motion models, Journal of Visual Communication and Image Representation, vol.26, issue.64, pp.96348-365, 1995. ,
Robust Occlusion Handling in Object Tracking, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383453
Determination of optical flow and its discontinuities using non-linear diffusion, 1994. ,
DOI : 10.1007/BFb0028362
Finding Temporally Consistent Occlusion Boundaries in Videos Using Geometric Context, 2015 IEEE Winter Conference on Applications of Computer Vision, 2015. ,
DOI : 10.1109/WACV.2015.141
DeepMatching: Hierarchical Deformable Dense Matching, International Journal of Computer Vision, vol.34, issue.1 ,
DOI : 10.1007/s11263-016-0908-3
URL : https://hal.archives-ouvertes.fr/hal-01148432
Probabilistic occlusion boundary detection on spatiotemporal lattices, 2009. ,
Layered motion segmentation and depth ordering by tracking edges, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.4, pp.479-494, 2004. ,
DOI : 10.1109/TPAMI.2004.1265863
Occlusion Boundaries from Motion: Low-Level Detection and??Mid-Level Reasoning, International Journal of Computer Vision, vol.14, issue.7, pp.325-357, 2009. ,
DOI : 10.1007/s11263-008-0203-z
A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection, Statistical methods in video processing, pp.71-82, 2004. ,
DOI : 10.1006/cviu.2001.0930
Local Layering for Joint Motion Estimation and Occlusion Detection, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014. ,
DOI : 10.1109/CVPR.2014.144
Layered image motion with explicit occlusions, temporal consistency, and depth ordering, 2010. ,
Layered segmentation and optical flow estimation over time, CVPR 2012 ,
Symmetric stereo matching for occlusion handling, 2005. ,
Occlusion boundary detection and figure/ground assignment from optical flow, CVPR 2011 ,
DOI : 10.1109/CVPR.2011.5995364
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.202
Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998. ,
DOI : 10.1109/ICCV.1998.710815
Motion field and optical flow: Qualitative properties. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.11, issue.5, pp.490-498, 1989. ,
Multiple tree models for occlusion and spatial constraints in human pose estimation Making action recognition robust to occlusions and viewpoint changes, 2008. ,
DeepFlow: Large Displacement Optical Flow with Deep Matching, 2013 IEEE International Conference on Computer Vision ,
DOI : 10.1109/ICCV.2013.175
URL : https://hal.archives-ouvertes.fr/hal-00873592
Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses, International Journal of Computer Vision, vol.75, issue.2, 2008. ,
DOI : 10.1007/s11263-008-0194-9
Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection, 2006. ,
DOI : 10.1007/11744023_17
A Segmentation Based Variational Model for Accurate Optical Flow Estimation, 2008. ,
DOI : 10.1007/978-3-540-88682-2_51
Motion detail preserving optical flow estimation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1744-1757, 2012. ,
DOI : 10.1109/CVPR.2010.5539820
Dense, accurate optical flow estimation with piecewise parametric model, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7298704
Contour-based object tracking with occlusion handling in video acquired using mobile cameras, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.11, pp.1531-1536, 2004. ,
DOI : 10.1109/TPAMI.2004.96