Qi Xie

Orcid: 0000-0003-0864-5623

Affiliations:
  • Xi'an Jiaotong University, School of Mathematics and Statistics, China (PhD 2020)
  • Princeton University, NJ, USA (2018-2019)


According to our database1, Qi Xie authored at least 60 papers between 2014 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Aligning Network Equivariance with Data Symmetry: A Theoretical Framework and Adaptive Approach for Image Restoration.
CoRR, May, 2026

Image-to-Image Translation Framework Embedded with Rotation Symmetry Priors.
CoRR, April, 2026

Rotation Equivariant Mamba for Vision Tasks.
CoRR, March, 2026

Vanilla Group Equivariant Vision Transformer: Simple and Effective.
CoRR, February, 2026

Multivariate neural directional total variation.
Pattern Recognit., 2026

QMSANet: A quaternion multi-scale attention network for robust color image denoising.
Neural Networks, 2026

2025
Rotation Equivariant Arbitrary-Scale Image Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

DUN-SRE: Deep Unrolling Network With Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction.
IEEE J. Sel. Top. Signal Process., December, 2025

RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation.
IEEE Trans. Neural Networks Learn. Syst., September, 2025

TRG-Net: An Interpretable and Controllable Rain Generator.
IEEE Trans. Neural Networks Learn. Syst., September, 2025

Polyline Path Masked Attention for Vision Transformer.
CoRR, June, 2025

Continuous Filtered Backprojection by Learnable Interpolation Network.
CoRR, May, 2025

Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution.
CoRR, March, 2025

Encoding sampling pattern for robust and generalized MRI reconstruction.
Pattern Recognit., 2025

DS-Net: A model driven network framework for lesion segmentation on fundus image.
Knowl. Based Syst., 2025

MDFP-Net: A Model-Driven Deep Neural Network for Fourier Ptychography.
Comput. Vis. Media, 2025

Rotation-Equivariant Self-Supervised Method in Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

A Regularization-Guided Equivariant Approach for Image Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Low-Light Image Enhancement by Retinex-Based Algorithm Unrolling and Adjustment.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback.
IEEE Trans. Wirel. Commun., January, 2024

OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning.
IEEE Trans. Medical Imaging, January, 2024

2023
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Memory-Augmented Deep Unfolding Network for Guided Image Super-resolution.
Int. J. Comput. Vis., 2023

FRS-Nets: Fourier Parameterized Rotation and Scale Equivariant Networks for Retinal Vessel Segmentation.
CoRR, 2023

2022
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Structural residual learning for single image rain removal.
Knowl. Based Syst., 2021

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining.
CoRR, 2021

From Rain Generation to Rain Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning to Purify Noisy Labels via Meta Soft Label Corrector.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction.
IEEE Trans. Medical Imaging, 2020

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing.
IEEE Trans. Image Process., 2020

Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans.
IEEE Trans. Computational Imaging, 2020

Single image rain streaks removal: a review and an exploration.
Int. J. Mach. Learn. Cybern., 2020

From Rain Removal to Rain Generation.
CoRR, 2020

Structural Residual Learning for Single Image Rain Removal.
CoRR, 2020

Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising.
Sci. China Inf. Sci., 2020

A Model-Driven Deep Neural Network for Single Image Rain Removal.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization.
IEEE Trans. Medical Imaging, 2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.
CoRR, 2019

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing.
CoRR, 2018

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement.
CoRR, 2018

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization.
IEEE Trans. Medical Imaging, 2017

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.
IEEE Trans. Medical Imaging, 2017

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision.
Int. J. Comput. Vis., 2017

Self-Paced Co-training.
Proceedings of the 34th International Conference on Machine Learning, 2017

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A Novel Sparsity Measure for Tensor Recovery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Convolutional Sparse Coding for Image Super-Resolution.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Self-Paced Learning for Matrix Factorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
On the Optimal Solution of Weighted Nuclear Norm Minimization.
CoRR, 2014


  Loading...