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Deep HDR Imaging via A Non-Local Network

IEEE transactions on image processing, 2020-01, Vol.29, p.4308-4322

2020

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Two-Stream Convolutional Networks for Blind Image Quality Assessment

IEEE transactions on image processing, 2019-05, Vol.28 (5), p.2200-2211

2019

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Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.3664-3673

2020

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Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation

IEEE journal of biomedical and health informatics, 2021-07, Vol.25 (7), p.2629-2642

2021

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Attention-Guided Network for Ghost-Free High Dynamic Range Imaging

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.1751-1760

2019

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DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation

IEEE journal of biomedical and health informatics, 2023-07, Vol.27 (7), p.1-12

2023

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Self-Supervised Interactive Embedding for One-Shot Organ Segmentation

IEEE transactions on biomedical engineering, 2023-10, Vol.70 (10), p.2799-2808

2023

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Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging

International journal of computer vision, 2022, Vol.130 (1), p.76-94

2022

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Toward High-Quality HDR Deghosting With Conditional Diffusion Models

IEEE transactions on circuits and systems for video technology, 2024-05, Vol.34 (5), p.4011-4026

2024

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A Unified HDR Imaging Method with Pixel and Patch Level

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.22211-22220

2023

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Robust artifact-free high dynamic range imaging of dynamic scenes

Multimedia tools and applications, 2019-05, Vol.78 (9), p.11487-11505

2019

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COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations

IEEE transactions on big data, 2021-03, Vol.7 (1), p.13-24

2021

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ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution

IEEE transactions on broadcasting, 2024-06, Vol.70 (2), p.492-504

2024

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Improved genomic prediction using machine learning with Variational Bayesian sparsity

Plant methods, 2023-09, Vol.19 (1), p.1-96, Article 96

2023

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SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.5775-5784

2023

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Learning scene-aware image priors with high-order Markov random fields

Applied informatics, 2017-10, Vol.4 (1), p.1-13, Article 12

2017

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Kernel sparse tracking with compressive sensing

IET computer vision, 2014-08, Vol.8 (4), p.305-315

2014

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Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation

Medical image analysis, 2022-01, Vol.75, p.102293-102293, Article 102293

2022

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From Distortion Manifold to Perceptual Quality: a Data Efficient Blind Image Quality Assessment Approach

Pattern recognition, 2023-01, Vol.133, p.109047, Article 109047

2023

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KGSR: A kernel guided network for real-world blind super-resolution

Pattern recognition, 2024-03, Vol.147, p.110095, Article 110095

2024

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3D Medical image segmentation using parallel transformers

Pattern recognition, 2023-06, Vol.138, p.109432, Article 109432

2023

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High dynamic range imaging by sparse representation

Neurocomputing (Amsterdam), 2017-12, Vol.269, p.160-169

2017

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Uncertainty estimation in HDR imaging with Bayesian neural networks

Pattern recognition, 2024-12, Vol.156, p.110802, Article 110802

2024

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From Dynamic to Static: Stepwisely Generate HDR Image for Ghost Removal

IEEE transactions on circuits and systems for video technology, 2024-09, p.1-1

2024

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SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring

IEEE transactions on image processing, 2023, Vol.32, p.2857-2866

2023

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Deep HDR Imaging via A Non-Local Network

Two-Stream Convolutional Networks for Blind Image Quality Assessment

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network

Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation

Attention-Guided Network for Ghost-Free High Dynamic Range Imaging

DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation

Self-Supervised Interactive Embedding for One-Shot Organ Segmentation

Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging

Toward High-Quality HDR Deghosting With Conditional Diffusion Models

A Unified HDR Imaging Method with Pixel and Patch Level

Robust artifact-free high dynamic range imaging of dynamic scenes

COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution

Improved genomic prediction using machine learning with Variational Bayesian sparsity

SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders

Learning scene-aware image priors with high-order Markov random fields

Kernel sparse tracking with compressive sensing

Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation

From Distortion Manifold to Perceptual Quality: a Data Efficient Blind Image Quality Assessment Approach

KGSR: A kernel guided network for real-world blind super-resolution

3D Medical image segmentation using parallel transformers

High dynamic range imaging by sparse representation

Uncertainty estimation in HDR imaging with Bayesian neural networks

From Dynamic to Static: Stepwisely Generate HDR Image for Ghost Removal

SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring

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