Yingqian Wang

Orcid: 0000-0002-9081-6227

Affiliations:

National University of Defense Technology, College of Electronic Science and Technology, Changsha, China

According to our database¹, Yingqian Wang authored at least 64 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Mixed-Precision Network Quantization for Infrared Small Target Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Learning Remote Sensing Object Detection With Single Point Supervision.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Dense Nested Attention Network for Infrared Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

Incorporating Deep Background Prior Into Model-Based Method for Unsupervised Moving Vehicle Detection in Satellite Videos.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

RepISD-Net: Learning Efficient Infrared Small-Target Detection Network via Structural Re-Parameterization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Representative Coefficient Total Variation for Efficient Infrared Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Infrared Small Target Detection via Nonconvex Tensor Tucker Decomposition With Factor Prior.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

You Only Train Once: Learning a General Anomaly Enhancement Network With Random Masks for Hyperspectral Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2023

Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2023

Combining Deep Denoiser and Low-rank Priors for Infrared Small Target Detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Disentangling Light Fields for Super-Resolution and Disparity Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2023

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Arbitrary-Oriented Ship Detection Through Center-Head Point Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Nonconvex Tensor Low-Rank Approximation for Infrared Small Target Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Gated Recurrent Multiattention Network for VHR Remote Sensing Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Dense Dual-Attention Network for Light Field Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Light Field Image Super-Resolution With Transformers.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

Parallax Attention for Unsupervised Stereo Correspondence Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

DARDet: A Dense Anchor-Free Rotated Object Detector in Aerial Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Enhancing Mid-Low-Resolution Ship Detection With High-Resolution Feature Distillation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2022

RSMOT: Remote Sensing Multi-Object Tracking Network with Local Motion Prior for Objects in Satellite Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Light Field Angular Super-Resolution via Dense Correspondence Field Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

[BibT_eX]

[DOI]

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

Learnable Lookup Table for Neural Network Quantization.

[BibT_eX]

[DOI]

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

Occlusion-Aware Cost Constructor for Light Field Depth Estimation.

[BibT_eX]

[DOI]

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

2021

Spatial-Angular Attention Network for Light Field Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Light Field Image Super-Resolution Using Deformable Convolution.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Deep Bilateral Learning for Stereo Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Arbitrary-Oriented Ship Detection through Center-Head Point Extraction.

[BibT_eX]

[DOI]

CoRR, 2021

Shipsrdet: An End-to-End Remote Sensing Ship Detector Using Super-Resolved Feature Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Learning A Single Network for Scale-Arbitrary Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Symmetric Parallax Attention for Stereo Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Unsupervised Degradation Representation Learning for Blind Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exploring Sparsity in Image Super-Resolution for Efficient Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deformable 3D Convolution for Video Super-Resolution.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

A Stereo Attention Module for Stereo Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

High-precision refocusing method with one interpolation for camera array images.

[BibT_eX]

[DOI]

IET Image Process., 2020

Learning Sparse Masks for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2020

Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks.

[BibT_eX]

[DOI]

CoRR, 2020

DeOccNet: Learning to See Through Foreground Occlusions in Light Fields.

[BibT_eX]

[DOI]

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

Spatial-Angular Interaction for Light Field Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Flickr1024: A Dataset for Stereo Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2019

Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning Parallax Attention for Stereo Image Super-Resolution.

[BibT_eX]

[DOI]

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

2018

Fast Convergence Strategy for Multi-Image Superresolution via Adaptive Line Search.

[BibT_eX]

[DOI]

IEEE Access, 2018

Disparity Estimation for Camera Arrays Using Reliability Guided Disparity Propagation.

[BibT_eX]

[DOI]

IEEE Access, 2018

Yingqian Wang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...