עקוב אחר
Deqing Sun
Deqing Sun
Research Scientist, Google DeepMind
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
29462018
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
20482010
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
20072017
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
9892018
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
9392016
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
9112018
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
7852014
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
7562019
On Bayesian adaptive video super resolution‏
C Liu, D Sun‏
Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (2), 346 …, 2014‏
5622014
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
4422021
Learning optical flow‏
D Sun, S Roth, JP Lewis, M Black‏
Computer Vision–ECCV 2008, 2008‏
4052008
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
3732019
A bayesian approach to adaptive video super resolution‏
C Liu, D Sun‏
CVPR 2011, 209-216, 2011‏
3142011
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
3092017
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
3022018
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
2782017
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
263*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
2462016
Kubric: A scalable dataset generator‏
K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ...‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022‏
2312022
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
2302019
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מאמרים 1–20