Ding Liu

Orcid: 0000-0002-0931-1345

Affiliations:

ByteDance Inc., USA
University of Illinois Urbana-Champaign, USA (PhD 2018)

According to our database¹, Ding Liu authored at least 58 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Pyramid Attention Network for Image Restoration.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., December, 2023

ShadowFormer: Global Context Helps Image Shadow Removal.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Integration Diffusion Model for Realistic Image Deblurring.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

ShadowFormer: Global Context Helps Shadow Removal.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2022

Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

et al.

CoRR, 2022

Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Unsupervised Low-light Image Enhancement with Decoupled Networks.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

EnlightenGAN: Deep Light Enhancement Without Paired Supervision.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Boosting Lightweight Single Image Super-resolution via Joint-distillation.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

FormNet: Formatted Learning for Image Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Learning Simple Thresholded Features With Sparse Support Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Pyramid Attention Networks for Image Restoration.

[BibT_eX]

[DOI]

CoRR, 2020

DAVID: Dual-Attentional Video Deblurring.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Neural Sparse Representation for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scale-Wise Convolution for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Enhance Visual Recognition Under Adverse Conditions via Deep Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Improving 3D Human Pose Estimation Via 3D Part Affinity Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Rudrabha Mukhopadhyay

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Challenge on Video Deblurring: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

An Empirical Investigation of Efficient Spatio-Temporal Modeling in Video Restoration.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Improving Object Detection from Scratch via Gated Feature Reuse.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Deep learning for image restoration and enhancement

[BibT_eX]

[DOI]

Ding Liu

PhD thesis, 2018

Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting.

[BibT_eX]

[DOI]

CoRR, 2018

Understanding Convolution for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Non-Local Recurrent Network for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Survey of Face Detection on Low-Quality Images.

[BibT_eX]

[DOI]

Yuqian Zhou

Ding Liu

Thomas S. Huang

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Image Super-Resolution via Dual-State Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids.

[BibT_eX]

[DOI]

Zhiqiang Shen

Honghui Shi

Rogério Schmidt Feris

CoRR, 2017

When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2017

Image aesthetics assessment using Deep Chatterjee's machine.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Computed tomography super-resolution using convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Robust Video Super-Resolution with Learned Temporal Dynamics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Balanced Two-Stage Residual Networks for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Robust emotion recognition from low quality and low bit rate video: A deep learning approach.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016

Robust Single Image Super-Resolution via Deep Networks With Sparse Prior.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images.

[BibT_eX]

[DOI]

CoRR, 2016

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Studying Very Low Resolution Recognition Using Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning a Mixture of Deep Networks for Single Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2016, 2016

Epitomic Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Deeply Improved Sparse Coding for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Networks for Image Super-Resolution with Sparse Prior.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Sparse Coding and its Applications in Computer Vision

[BibT_eX]

[DOI]

WorldScientific, ISBN: 9789814725064, 2015

Ding Liu

Timeline

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