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Deqing Sun
Deqing Sun
Research Scientist, Google DeepMind
Email confirmado em google.com - Página inicial
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Ano
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
27682018
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
20632017
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
19992010
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
9182018
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
9072016
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
8712018
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
7642014
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
7142019
On Bayesian adaptive video super resolution
C Liu, D Sun
Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (2), 346 …, 2014
5412014
Learning optical flow
D Sun, S Roth, JP Lewis, M Black
Computer Vision–ECCV 2008, 2008
3962008
Adaptive prototype learning and allocation for few-shot segmentation
G Li, V Jampani, L Sevilla-Lara, D Sun, J Kim, J Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
3892021
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
3392019
A bayesian approach to adaptive video super resolution
C Liu, D Sun
CVPR 2011, 209-216, 2011
3132011
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
2872017
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
2822018
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
2752017
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
252*2018
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
2412016
Models matter, so does training: An empirical study of cnns for optical flow estimation
D Sun, X Yang, MY Liu, J Kautz
IEEE transactions on pattern analysis and machine intelligence 42 (6), 1408-1423, 2019
2212019
Blind video temporal consistency
N Bonneel, J Tompkin, K Sunkavalli, D Sun, S Paris, H Pfister
ACM Transactions on Graphics (TOG) 34 (6), 1-9, 2015
1852015
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