Deqing Sun

According to our database1, Deqing Sun authored at least 46 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
SENSE: a Shared Encoder Network for Scene-flow Estimation.
CoRR, 2019

Video Stitching for Linear Camera Arrays.
CoRR, 2019

Unsupervised Video Interpolation Using Cycle Consistency.
CoRR, 2019

A Fusion Approach for Multi-Frame Optical Flow Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Pixel-Adaptive Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deblurring Images via Dark Channel Prior.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation.
CoRR, 2018

Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation.
CoRR, 2018

Rendering Portraitures from Monocular Camera and Beyond.
Proceedings of the Computer Vision - ECCV 2018, 2018

A Simple and Effective Fusion Approach for Multi-frame Optical Flow Estimation.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Superpixel Sampling Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

"What Is Optical Flow For?": Workshop Results and Summary.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning Data Terms for Non-blind Deblurring.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Superpixels With Segmentation-Aware Affinity Loss.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SPLATNet: Sparse Lattice Networks for Point Cloud Processing.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Dual Convolutional Neural Networks for Low-Level Vision.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Binary Residual Representations for Domain-Specific Video Streaming.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Plinko poetry.
Interactions, 2017

Demo hour.
Interactions, 2017

Consistent Video Filtering for Camera Arrays.
Comput. Graph. Forum, 2017

Learning to Super-Resolve Blurry Face and Text Images.
Proceedings of the IEEE International Conference on Computer Vision, 2017


Cascaded Scene Flow Prediction Using Semantic Segmentation.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Plinko Poetry 2012.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2016

Optical Flow with Semantic Segmentation and Localized Layers.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Blind Image Deblurring Using Dark Channel Prior.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Blind video temporal consistency.
ACM Trans. Graph., 2015

Layered RGBD scene flow estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
On Bayesian Adaptive Video Super Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them.
International Journal of Computer Vision, 2014

Optical Flow Estimation with Channel Constancy.
Proceedings of the Computer Vision - ECCV 2014, 2014

Local Layering for Joint Motion Estimation and Occlusion Detection.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A Fully-Connected Layered Model of Foreground and Background Flow.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Non-causal Temporal Prior for Video Deblocking.
Proceedings of the Computer Vision - ECCV 2012, 2012

Layered segmentation and optical flow estimation over time.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A Bayesian approach to adaptive video super resolution.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Layered image motion with explicit occlusions, temporal consistency, and depth ordering.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Secrets of optical flow estimation and their principles.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008
Learning Optical Flow.
Proceedings of the Computer Vision, 2008

2007
Postprocessing of Low Bit-Rate Block DCT Coded Images Based on a Fields of Experts Prior.
IEEE Trans. Image Processing, 2007

Shape Registration by Simultaneously Optimizing Representation and Transformation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

An Effective Postprocessing Method for Lowbit Rate Block DCT Coded Images.
Proceedings of the IEEE International Conference on Acoustics, 2007


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