The Fast Bilateral Solver, ECCV, 2016. 1 ,
DOI : 10.1109/ICCV.2015.179
Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs, ECCV, 2007. ,
DOI : 10.1109/ICCV.2015.304
URL : https://hal.archives-ouvertes.fr/hal-01410872
Rethinking atrous convolution for semantic image segmentation, 2017. ,
Attention to Scale: Scale-Aware Semantic Image Segmentation, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.396
URL : http://web.cs.ucla.edu/%7Elcchen/doc/ChenYangWangXuYuille_DeepLabWithAttention.pdf
Semantic image segmentation with deep convolutional nets and fully connected crfs. arXiv preprint, 2007. ,
DOI : 10.1109/tpami.2017.2699184
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, p.7 ,
DOI : 10.1109/TPAMI.2017.2699184
Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation, ICCV, vol.1, issue.2, 2015. ,
Learning Deep Structured Models, ICML, 2015. ,
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014. ,
DOI : 10.1109/CVPR.2014.254
Notes on matrix calculus ,
Semantic instance segmentation via deep metric learning, 1703. ,
Hypercolumns for object segmentation and fine-grained localization, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7298642
URL : http://www.cs.berkeley.edu/%7Ebharath2/pubs/pdfs/BharathCVPR2015.pdf
Deep networks for saliency detection via local estimation and global search, CVPR, 2015. ,
Learning dense convolutional embeddings for semantic segmentation, 2015. ,
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4452-4461, 2016. ,
DOI : 10.1109/CVPR.2016.482
Regression Tree Fields — An efficient, non-parametric approach to image labeling problems, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6247950
Caffe, Proceedings of the ACM International Conference on Multimedia, MM '14, 2014. ,
DOI : 10.1145/2647868.2654889
Pushing the Boundaries of Boundary Detection using Deep Learning, ICLR, 2016. ,
Ubernet: A universal cnn for the joint treatment of low-, mid-, and high-level vision problems, POCV workshop, 2008. ,
Efficient inference in fully connected crfs with gaussian edge potentials, NIPS, 2011. ,
Visual saliency based on multiscale deep features, CVPR, 2008. ,
Deep Contrast Learning for Salient Object Detection, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. ,
DOI : 10.1109/CVPR.2016.58
The Secrets of Salient Object Segmentation, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2014.43
Semantic Object Parsing with Graph LSTM, 2016. ,
DOI : 10.1162/neco.1997.9.8.1735
URL : http://arxiv.org/pdf/1603.07063
Semantic Object Parsing with Local-Global Long Short-Term Memory, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.347
URL : http://arxiv.org/pdf/1511.04510
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. ,
DOI : 10.1109/CVPR.2016.348
Deep convolutional neural fields for depth estimation from a single image, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7299152
URL : http://arxiv.org/pdf/1411.6387.pdf
Semantic Image Segmentation via Deep Parsing Network, 2015 IEEE International Conference on Computer Vision (ICCV), pp.1377-1385, 2015. ,
DOI : 10.1109/ICCV.2015.162
URL : http://arxiv.org/pdf/1509.02634
Fully convolutional networks for semantic segmentation, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3431-3440, 2015. ,
DOI : 10.1109/CVPR.2015.7298965
Associative embedding: Endto-end learning for joint detection and grouping. CoRR, abs/1611, p.5424, 2016. ,
An introduction to the conjugate gradient method without the agonizing pain ,
Learning Gaussian Conditional Random Fields for Low-Level Vision, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.382979
URL : http://www.cs.ucf.edu/%7Emtappen/out_papers/cvpr07_distrib.pdf
Gaussian Conditional Random Field Network for Semantic Segmentation, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2003. ,
DOI : 10.1109/CVPR.2016.351
Context-Aware CNNs for Person Head Detection, 2015 IEEE International Conference on Computer Vision (ICCV), pp.2893-2901, 2015. ,
DOI : 10.1109/ICCV.2015.331
URL : https://hal.archives-ouvertes.fr/hal-01237618
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence, IEEE Transactions on Image Processing, vol.24, issue.10, 2015. ,
DOI : 10.1109/TIP.2015.2432712
URL : http://arxiv.org/pdf/1505.03227
Deep networks for saliency detection via local estimation and global search, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. ,
DOI : 10.1109/CVPR.2015.7298938
Zoom better to see clearer: Human part segmentation with auto zoom net, ECCV, 2016. ,
DOI : 10.1007/978-3-319-46454-1_39
URL : http://arxiv.org/pdf/1511.06881
Pyramid Scene Parsing Network, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2017.660
Saliency detection by multi-context deep learning, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. ,
DOI : 10.1109/CVPR.2015.7298731
Conditional Random Fields as Recurrent Neural Networks, 2015 IEEE International Conference on Computer Vision (ICCV), 2007. ,
DOI : 10.1109/ICCV.2015.179
URL : http://arxiv.org/pdf/1502.03240