Segui
Deqing Sun
Deqing Sun
Research Scientist, Google
Email verificata su google.com - Home page
Titolo
Citata da
Citata da
Anno
Secrets of optical flow estimation and their principles
D Sun, S Roth, MJ Black
2010 IEEE computer society conference on computer vision and pattern …, 2010
17212010
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
D Sun, X Yang, MY Liu, J Kautz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
13652018
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
9732017
A quantitative analysis of current practices in optical flow estimation and the principles behind them
D Sun, S Roth, MJ Black
International Journal of Computer Vision 106 (2), 115-137, 2014
5952014
Blind image deblurring using dark channel prior
J Pan, D Sun, H Pfister, MH Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5842016
Splatnet: Sparse lattice networks for point cloud processing
H Su, V Jampani, D Sun, S Maji, E Kalogerakis, MH Yang, J Kautz
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5392018
Super slomo: High quality estimation of multiple intermediate frames for video interpolation
H Jiang, D Sun, V Jampani, MH Yang, E Learned-Miller, J Kautz
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4272018
Learning optical flow
D Sun, S Roth, JP Lewis, M Black
Computer Vision–ECCV 2008, 2008
3442008
Competitive collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation
A Ranjan, V Jampani, L Balles, K Kim, D Sun, J Wulff, MJ Black
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3402019
On Bayesian adaptive video super resolution
C Liu, D Sun
Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (2), 346 …, 2014
3232014
A bayesian approach to adaptive video super resolution
C Liu, D Sun
CVPR 2011, 209-216, 2011
2612011
Optical flow with semantic segmentation and localized layers
L Sevilla-Lara, D Sun, V Jampani, MJ Black
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1892016
Learning to super-resolve blurry face and text images
X Xu, D Sun, J Pan, Y Zhang, H Pfister, MH Yang
Proceedings of the IEEE international conference on computer vision, 251-260, 2017
1862017
Postprocessing of low bit-rate block DCT coded images based on a fields of experts prior
D Sun, WK Cham
Image Processing, IEEE Transactions on 16 (11), 2743-2751, 2007
1512007
Pixel-adaptive convolutional neural networks
H Su, V Jampani, D Sun, O Gallo, E Learned-Miller, J Kautz
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1472019
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
D Sun, E Sudderth, M Black
Advances in Neural Information Processing Systems 23, 2010
1462010
Layered segmentation and optical flow estimation over time
D Sun, EB Sudderth, MJ Black
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1768-1775, 2012
1412012
Deblurring images via dark channel prior
J Pan, D Sun, H Pfister, MH Yang
IEEE transactions on pattern analysis and machine intelligence 40 (10), 2315 …, 2017
1322017
Superpixel sampling networks
V Jampani, D Sun, MY Liu, MH Yang, J Kautz
Proceedings of the European Conference on Computer Vision (ECCV), 352-368, 2018
1302018
Learning dual convolutional neural networks for low-level vision
J Pan, S Liu, D Sun, J Zhang, Y Liu, J Ren, Z Li, J Tang, H Lu, YW Tai, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1262018
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