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Computer Science

D-Index
42
Citations
16353
World Ranking
8149
National Ranking
3490

Overview

Deqing Sun is affiliated with Google in the United States and has a research focus primarily within the field of Computer Science. Their work is concentrated in several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering, and Computer Graphics and Computer-Aided Design.

The scientist has contributed extensively to topics related to Advanced Vision and Imaging, Advanced Image Processing Techniques, Image Enhancement Techniques, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition, Advanced Neural Network Applications, and Image Processing Techniques and Applications.

Deqing Sun's recent papers reflect a diverse range of research interests and venues. Notable publications include:

  • Kubric: A scalable dataset generator, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence, 2023, arXiv (Cornell University)
  • Dual Convolutional Neural Networks for Low-Level Vision, 2022, International Journal of Computer Vision
  • Pyramid Adversarial Training Improves ViT Performance, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Adaptive Prototype Learning and Allocation for Few-Shot Segmentation, 2021, arXiv (Cornell University)

The work has appeared most frequently in the following publication venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision
  • ACM Transactions on Graphics
  • Applied Sciences

Collaborative efforts form an important part of Deqing Sun's research activities. Frequent co-authors include:

  • Varun Jampani (14 joint publications)
  • Charles Herrmann (12 joint publications)
  • Ming-Hsuan Yang (11 joint publications)
  • David J. Fleet (4 joint publications)
  • Huiwen Chang (4 joint publications)

Best Publications

  • PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

    Deqing Sun;Xiaodong Yang;Ming-Yu Liu;Jan Kautz

  • Secrets of optical flow estimation and their principles

    Deqing Sun;Stefan Roth;Michael J. Black

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Blind Image Deblurring Using Dark Channel Prior

    Jinshan Pan;Jinshan Pan;Jinshan Pan;Deqing Sun;Deqing Sun;Hanspeter Pfister;Ming-Hsuan Yang

  • Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

    Huaizu Jiang;Deqing Sun;Varan Jampani;Ming-Hsuan Yang

  • SPLATNet: Sparse Lattice Networks for Point Cloud Processing

    Hang Su;Varun Jampani;Deqing Sun;Subhransu Maji

  • A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them

    Deqing Sun;Stefan Roth;Michael J. Black

  • Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

    Anurag Ranjan;Varun Jampani;Lukas Balles;Kihwan Kim

  • On Bayesian Adaptive Video Super Resolution

    Ce Liu;Deqing Sun

  • Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

    Gen Li;Varun Jampani;Laura Sevilla-Lara;Deqing Sun

  • Learning Optical Flow

    Deqing Sun;Stefan Roth;J. P. Lewis;Michael J. Black

  • Pixel-Adaptive Convolutional Neural Networks

    Hang Su;Varun Jampani;Deqing Sun;Orazio Gallo

  • A Bayesian approach to adaptive video super resolution

    Ce Liu;Deqing Sun

  • Kubric: A scalable dataset generator

    Unknown

  • Superpixel sampling networks

    Varun Jampani;Deqing Sun;Ming Yu Liu;Ming Hsuan Yang

  • Deblurring Images via Dark Channel Prior

    Jinshan Pan;Deqing Sun;Hanspeter Pfister;Ming-Hsuan Yang

  • Learning to Super-Resolve Blurry Face and Text Images

    Xiangyu Xu;Xiangyu Xu;Xiangyu Xu;Deqing Sun;Deqing Sun;Jinshan Pan;Yujin Zhang

  • Learning Dual Convolutional Neural Networks for Low-Level Vision

    Jinshan Pan;Sifei Liu;Deqing Sun;Jiawei Zhang

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

    Deqing Sun;Xiaodong Yang;Ming-Yu Liu;Jan Kautz

  • Optical Flow with Semantic Segmentation and Localized Layers

    Laura Sevilla-Lara;Deqing Sun;Varun Jampani;Michael J. Black

  • Blind video temporal consistency

    Nicolas Bonneel;James Tompkin;Kalyan Sunkavalli;Deqing Sun

Frequent Co-Authors

Jan Kautz
Jan Kautz Nvidia (United States)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Ming-Yu Liu
Ming-Yu Liu Nvidia (United States)
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Hanspeter Pfister
Hanspeter Pfister Harvard University
Ce Liu
Ce Liu Microsoft (United States)
Erik B. Sudderth
Erik B. Sudderth University of California, Irvine
Erik Learned-Miller
Erik Learned-Miller University of Massachusetts Amherst
Xiaodong Yang
Xiaodong Yang Nvidia (United Kingdom)

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