Jiangxin Dong

Orcid: 0000-0002-7529-9022

According to our database1, Jiangxin Dong authored at least 31 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards Unified Deep Image Deraining: A Survey and A New Benchmark.
CoRR, 2023

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency.
CoRR, 2023

DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution.
CoRR, 2023

PromptRestorer: A Prompting Image Restoration Method with Degradation Perception.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DLGSANet: Lightweight Dynamic Local and Global Self-Attention Network for Image Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-scale Residual Low-Pass Filter Network for Image Deblurring.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Spatially Variant Linear Representation Models for Joint Filtering.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Deep Outlier Handling for Image Deblurring.
IEEE Trans. Image Process., 2021

Physics-Based Generative Adversarial Models for Image Restoration and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Blind Video Super-resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Physics-Based Feature Dehazing Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Spatially Variant Linear Representation Models for Joint Filtering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

2017
Blur kernel estimation via salient edges and low rank prior for blind image deblurring.
Signal Process. Image Commun., 2017

Learning Discriminative Data Fitting Functions for Blind Image Deblurring.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Blind Image Deblurring with Outlier Handling.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering.
Neural Process. Lett., 2016

Subspace segmentation by dense block and sparse representation.
Neural Networks, 2016

Subspace Learning Based Low-Rank Representation.
Proceedings of the Computer Vision - ACCV 2016, 2016

Sparse Gradient Pursuit for Robust Visual Analysis.
Proceedings of the Computer Vision - ACCV 2016, 2016


  Loading...