Fetching the paper…
Reading the bibliography…
The success of deep learning has been due, in no small part, to the availability of large annotated datasets.
W. K. Middleton, “Vision through the atmosphere,” in Geophysik II/Geophysics II
1957
Earlier work this paper cites.
M. Elad and A. Feuer, “Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images,” IEEE transactions on image processing
1997
Earlier work this paper cites.
D. J. Jobson, Z.-u. Rahman, and G. A. Woodell, “A multiscale retinex for bridging the gap between color images and the human observation of scenes,” IEEE Transactions on Image processing
1997
Earlier work this paper cites.
Y. Y. Boykov and M.-P. Jolly, “Interactive graph cuts for optimal boundary & region segmentation of objects in nd images,” in Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
2001
Earlier work this paper cites.
Y.-Y. Chuang, B. Curless, D. H. Salesin, and R. Szeliski, “A bayesian approach to digital matting,” in Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
2001
Earlier work this paper cites.
Y. Boykov and V. Kolmogorov, “An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision,” IEEE transactions on pattern analysis and machine intelligence
2004
Earlier work this paper cites.
C. Rother, V. Kolmogorov, and A. Blake, “Grabcut: Interactive foreground extraction using iterated graph cuts,” in ACM transactions on graphics (TOG)
2004
Earlier work this paper cites.
L. Grady, T. Schiwietz, S. Aharon, and R. Westermann, “Random walks for interactive alpha-matting,” in Proceedings of VIIP
2005
Earlier work this paper cites.
L. Grady, “Random walks for image segmentation,” IEEE transactions on pattern analysis and machine intelligence
2006
Earlier work this paper cites.
D. Fleet and Y. Weiss, “Optical flow estimation,” in Handbook of mathematical models in computer vision
2006
Earlier work this paper cites.
J. Wang and M. F. Cohen, “Optimized color sampling for robust matting,” in Computer Vision and Pattern Recognition, 2007. CVPR’07. IEEE Conference on
2007
Earlier work this paper cites.
A. Levin, R. Fergus, F. Durand, and W. T. Freeman, “Image and depth from a conventional camera with a coded aperture,” ACM transactions on graphics (TOG)
2007
Earlier work this paper cites.
A. Levin, D. Lischinski, and Y. Weiss, “A closed-form solution to natural image matting,” IEEE Transactions on Pattern Analysis and Machine Intelligence
2008
Earlier work this paper cites.
R. T. Tan, “Visibility in bad weather from a single image,” in CVPR
2008
Earlier work this paper cites.
A. Wedel, D. Cremers, T. Pock, and H. Bischof, “Structure-and motion-adaptive regularization for high accuracy optic flow,” in Computer Vision, 2009 IEEE 12th International Conference on
2009
Earlier work this paper cites.
C. Rhemann, C. Rother, J. Wang, M. Gelautz, P. Kohli, and P. Rott, “A perceptually motivated online benchmark for image matting,” in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
2009
Earlier work this paper cites.
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman, “The pascal visual object classes (voc) challenge,” International journal of computer vision
2010
Earlier work this paper cites.
E. S. Gastal and M. M. Oliveira, “Shared sampling for real-time alpha matting,” in Computer Graphics Forum
2010
Earlier work this paper cites.
M. Rubinstein, D. Gutierrez, O. Sorkine, and A. Shamir, “A comparative study of image retargeting,” in ACM transactions on graphics (TOG)
2010
Earlier work this paper cites.
K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel prior,” IEEE transactions on pattern analysis and machine intelligence
2011
Earlier work this paper cites.
K. He, C. Rhemann, C. Rother, X. Tang, and J. Sun, “A global sampling method for alpha matting,” in Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
2011
Earlier work this paper cites.
C. Couprie, L. Najman, and H. Talbot, “Seeded segmentation methods for medical image analysis,” in Medical Image Processing
2011
Cited alongside, same era.
B. Hariharan, P. Arbeláez, L. Bourdev, S. Maji, and J. Malik, “Semantic contours from inverse detectors,” in 2011 International Conference on Computer Vision
2011
Cited alongside, same era.
G. Meng, Y. Wang, J. Duan, S. Xiang, and C. Pan, “Efficient image dehazing with boundary constraint and contextual regularization,” in ICCV
2013
Cited alongside, same era.
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” in Proceedings of the 22nd ACM international conference on Multimedia
2014
Cited alongside, same era.
R. Fattal, “Dehazing using color-lines,” TOG
2014
B. Cai, X. Xu, K. Jia, C. Qing, and D. Tao, “Dehazenet: An end-to-end system for single image haze removal,” TIP
2016
Later among the works it cites.
J. Johnson, A. Alahi, and L. Fei-Fei, “Perceptual losses for real-time style transfer and super-resolution,” in European Conference on Computer Vision
2016
Later among the works it cites.
D. Ulyanov, V. Lebedev, A. Vedaldi, and V. S. Lempitsky, “Texture networks: Feed-forward synthesis of textures and stylized images.,” in ICML
2016
Later among the works it cites.
A. Kolesnikov and C. H. Lampert, “Seed, expand and constrain: Three principles for weakly-supervised image segmentation,” in European Conference on Computer Vision
2016
Later among the works it cites.
D. Lin, J. Dai, J. Jia, K. He, and J. Sun, “Scribblesup: Scribble-supervised convolutional networks for semantic segmentation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980
2014
Cited alongside, same era.
Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” nature
2015
Cited alongside, same era.
X. Zhang, J. Zhao, and Y. LeCun, “Character-level convolutional networks for text classification,” in Advances in neural information processing systems
2015
Cited alongside, same era.
Q. Zhu, J. Mai, L. Shao, et al
2015
Cited alongside, same era.
2015
Cited alongside, same era.
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al
2015
Cited alongside, same era.
J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in Proceedings of the IEEE conference on computer vision and pattern recognition
2015
Cited alongside, same era.
2016
Later among the works it cites.
X. Shen, X. Tao, H. Gao, C. Zhou, and J. Jia, “Deep automatic portrait matting,” in European Conference on Computer Vision
2016
Later among the works it cites.
D. Cho, Y.-W. Tai, and I. Kweon, “Natural image matting using deep convolutional neural networks,” in European Conference on Computer Vision
2016
Later among the works it cites.
D. Berman, T. Tali, and S. Avidan, “Non-local image dehazing,” in CVPR
2016
Later among the works it cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition
2016
Later among the works it cites.
Q. Chen, J. Xu, and V. Koltun, “Fast image processing with fully-convolutional networks,” in IEEE International Conference on Computer Vision
2017
Later among the works it cites.
Q. Dou, L. Yu, H. Chen, Y. Jin, X. Yang, J. Qin, and P.-A. Heng, “3d deeply supervised network for automated segmentation of volumetric medical images,” Medical image analysis
2017
Later among the works it cites.
B. Li, X. Peng, Z. Wang, J. Xu, and D. Feng, “Aod-net: All-in-one dehazing network,” in ICCV
2017
Later among the works it cites.
D. Ulyanov, A. Vedaldi, and V. Lempitsky, “Deep image prior,” arXiv preprint arXiv:1711.10925
2017
Later among the works it cites.
Z. Ren, J. Yan, B. Ni, B. Liu, X. Yang, and H. Zha, “Unsupervised deep learning for optical flow estimation.,” in AAAI
2017
Later among the works it cites.
E. Richardson, M. Sela, R. Or-El, and R. Kimmel, “Learning detailed face reconstruction from a single image,” in Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on
2017
Later among the works it cites.
Y. Wei, X. Liang, Y. Chen, X. Shen, M.-M. Cheng, J. Feng, Y. Zhao, and S. Yan, “Stc: A simple to complex framework for weakly-supervised semantic segmentation,” IEEE transactions on pattern analysis and machine intelligence
2017
Later among the works it cites.
N. Xu, B. Price, S. Cohen, and T. Huang, “Deep image matting,” in Computer Vision and Pattern Recognition (CVPR)
2017
Later among the works it cites.
W. Ren, L. Ma, J. Zhang, J. Pan, X. Cao, W. Liu, and M.-H. Yang, “Gated fusion network for single image dehazing,” CVPR
2018
Closest in time.
Q. Fan, J. Yang, D. Wipf, B. Chen, and X. Tong, “Image smoothing via unsupervised learning,” in SIGGRAPH Asia 2018 Technical Papers
2018
Closest in time.
M. Tang, A. Djelouah, F. Perazzi, Y. Boykov, and C. Schroers, “Normalized cut loss for weakly-supervised cnn segmentation,” in IEEE conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City
2018
Closest in time.
B. Li, W. Ren, D. Fu, D. Tao, D. Feng, W. Zeng, and Z. Wang, “Benchmarking single-image dehazing and beyond,” IEEE Transactions on Image Processing
2019
Closest in time.