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Various blur distortions in video will cause negative impact on both human viewing and video-based applications, which makes motion-robust deblurring methods urgently needed.
S. Zhou, J. Zhang, J. Pan, H. Xie, W. Zuo, J. Ren, Spatio-temporal filter adaptive network for video deblurring , CoRR abs/1904.12257 · 1904
Earlier work this paper cites.
O. Kupyn, T. Martyniuk, J. Wu, Z. Wang, Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better (2019) · 1908
Earlier work this paper cites.
doi:10.1109/ICIP.1994.413553
P. Charbonnier, L. Blanc-Feraud, G. Aubert, M. Barlaud, Two deterministic half-quadratic regularization algorithms for computed imaging, in: Proceedings of 1st International Conference on Image Processing, Vol. 2, 1994, pp. 168–172 vol.2 · 1994
Earlier work this paper cites.
L. Zhang, Optical flow in the presence of spatially-varying motion blur, in: Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CVPR ’12, IEEE Computer Society, USA, 2012, p. 1752–1759
2012
Earlier work this paper cites.
doi:10.1109/TPAMI.2012.59
S. Ji, W. Xu, M. Yang, K. Yu, 3d convolutional neural networks for human action recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (1) (2013) 221–231 · 2012
Earlier work this paper cites.
J. Pan, Z. Hu, Z. Su, M.-H. Yang, Deblurring text images via l0-regularized intensity and gradient prior, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
2014
Earlier work this paper cites.
T. Hyun Kim, K. Mu Lee, Generalized video deblurring for dynamic scenes, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
2015
Earlier work this paper cites.
J. Pan, D. Sun, H. Pfister, M.-H. Yang, Blind image deblurring using dark channel prior, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
2016
Earlier work this paper cites.
S. Nah, T. Hyun Kim, K. Mu Lee, Deep multi-scale convolutional neural network for dynamic scene deblurring, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2017
Earlier work this paper cites.
S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang, Deep video deblurring for hand-held cameras, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2017
Earlier work this paper cites.
T. Hyun Kim, K. Mu Lee, B. Scholkopf, M. Hirsch, Online video deblurring via dynamic temporal blending network, in: The IEEE International Conference on Computer Vision (ICCV), 2017
2017
Earlier work this paper cites.
W. Ren, J. Pan, X. Cao, M.-H. Yang, Video deblurring via semantic segmentation and pixel-wise non-linear kernel, in: The IEEE International Conference on Computer Vision (ICCV), 2017
2017
Earlier work this paper cites.
J.-Y. Zhu, T. Park, P. Isola, A. A. Efros, Unpaired image-to-image translation using cycle-consistent adversarial networks, in: The IEEE International Conference on Computer Vision (ICCV), 2017
2017
Earlier work this paper cites.
Y. Yan, W. Ren, Y. Guo, R. Wang, X. Cao, Image deblurring via extreme channels prior, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2017
Earlier work this paper cites.
E. Ilg, N. Mayer, T. Saikia, M. Keuper, A. Dosovitskiy, T. Brox, Flownet 2.0: Evolution of optical flow estimation with deep networks, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2017
Cited alongside, same era.
S. Niklaus, L. Mai, F. Liu, Video frame interpolation via adaptive separable convolution, in: The IEEE International Conference on Computer Vision (ICCV), 2017
2017
Cited alongside, same era.
doi:https://doi.org/10.1016/j.patcog.2018.02.029
T.-Y. Chen, P.-W. Ting, M.-Y. Wu, L.-C. Fu, Learning a deep network with spherical part model for 3d hand pose estimation , Pattern Recognition 80 (2018) 1 – 20 · 2018
Cited alongside, same era.
X. Tao, H. Gao, X. Shen, J. Wang, J. Jia, Scale-recurrent network for deep image deblurring, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2018
Cited alongside, same era.
doi:https://doi.org/10.1016/j.patcog.2019.04.026
R. Li, Z. Liu, J. Tan, A survey on 3d hand pose estimation: Cameras, methods, and datasets , Pattern Recognition 93 (2019) 251 – 272 · 2019
Later among the works it cites.
Y. Hasson, G. Varol, D. Tzionas, I. Kalevatykh, M. J. Black, I. Laptev, C. Schmid, Learning joint reconstruction of hands and manipulated objects, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
2019
Later among the works it cites.
doi:https://doi.org/10.1016/j.patcog.2019.107012
X. Wei, H. Wang, B. Scotney, H. Wan, Minimum margin loss for deep face recognition , Pattern Recognition 97 (2020) 107012 · 2019
Later among the works it cites.
doi:https://doi.org/10.1016/j.patcog.2019.107113
M. He, J. Zhang, S. Shan, M. Kan, X. Chen, Deformable face net for pose invariant face recognition , Pattern Recognition 100 (2020) 107113 · 2019
Later among the works it cites.
doi:https://doi.org/10.1016/j.patcog.2019.05.028
H. Luo, W. Jiang, X. Zhang, X. Fan, J. Qian, C. Zhang, Alignedreid++: Dynamically matching local information for person re-identification , Pattern Recognition 94 (2019) 53 – 61 · 2019
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J. Zhang, J. Pan, J. Ren, Y. Song, L. Bao, R. W. Lau, M.-H. Yang, Dynamic scene deblurring using spatially variant recurrent neural networks, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2018
Cited alongside, same era.
doi:10.1109/TIP.2018.2867733
K. Zhang, W. Luo, Y. Zhong, L. Ma, W. Liu, H. Li, Adversarial spatio-temporal learning for video deblurring, IEEE Transactions on Image Processing 28 (1) (2019) 291–301 · 2018
Cited alongside, same era.
doi:10.1109/ICCPHOT.2018.8368468
H. Chen, J. Gu, O. Gallo, M. Liu, A. Veeraraghavan, J. Kautz, Reblur2deblur: Deblurring videos via self-supervised learning, in: 2018 IEEE International Conference on Computational Photography (ICCP), 2018, pp. 1–9 · 2018
Cited alongside, same era.
L. Li, J. Pan, W.-S. Lai, C. Gao, N. Sang, M.-H. Yang, Learning a discriminative prior for blind image deblurring, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2018
Cited alongside, same era.
doi:10.1109/TPAMI.2018.2855177
S. Anwar, C. P. Huynh, F. Porikli, Image deblurring with a class-specific prior, IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (9) (2019) 2112–2130 · 2018
Cited alongside, same era.
Y. Zhang, K. Li, K. Li, L. Wang, B. Zhong, Y. Fu, Image super-resolution using very deep residual channel attention networks, in: The European Conference on Computer Vision (ECCV), 2018
2018
Cited alongside, same era.
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, O. Wang, The unreasonable effectiveness of deep features as a perceptual metric, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2018
Cited alongside, same era.
O. Kupyn, V. Budzan, M. Mykhailych, D. Mishkin, J. Matas, Deblurgan: Blind motion deblurring using conditional adversarial networks, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2018
Cited alongside, same era.
Later among the works it cites.
Y. Bai, H. Jia, M. Jiang, X. Liu, X. Xie, W. Gao, Single image blind deblurring using multi-scale latent structure prior, IEEE Transactions on Circuits and Systems for Video Technology (2019) 1–1 doi:10.1109/TCSVT.2019.2919159
2019
Later among the works it cites.
X. Wang, K. C. Chan, K. Yu, C. Dong, C. Change Loy, Edvr: Video restoration with enhanced deformable convolutional networks, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019
2019
Later among the works it cites.
S. Nah, S. Son, K. M. Lee, Recurrent neural networks with intra-frame iterations for video deblurring, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
2019
Later among the works it cites.
Y. Fan, J. Yu, D. Liu, T. S. Huang, An empirical investigation of efficient spatio-temporal modeling in video restoration, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019
2019
Later among the works it cites.
S. Nah, R. Timofte, S. Baik, S. Hong, G. Moon, S. Son, K. Mu Lee, Ntire 2019 challenge on video deblurring: Methods and results, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019
2019
Later among the works it cites.
H. Sim, M. Kim, A deep motion deblurring network based on per-pixel adaptive kernels with residual down-up and up-down modules, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019
2019
Later among the works it cites.
doi:https://doi.org/10.1016/j.patcog.2020.107319
A. Serbetci, Y. S. Akgul, End-to-end training of cnn ensembles for person re-identification , Pattern Recognition 104 (2020) 107319 · 2020
Closest in time.
doi:https://doi.org/10.1016/j.patcog.2020.107300
J. Peng, Y. Shao, N. Sang, C. Gao, Joint image deblurring and matching with feature-based sparse representation prior , Pattern Recognition 103 (2020) 107300 · 2020
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