b'Xin Fan'

research

∙ 05/29/2023

Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining

Rain streaks significantly decrease the visibility of captured images an...

0 Zhiying Jiang, et al. ∙

research

∙ 05/25/2023

A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion

Image fusion plays a key role in a variety of multi-sensor-based vision ...

0 Risheng Liu, et al. ∙

research

∙ 05/25/2023

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation

In light of the significant progress made in the development and applica...

0 Xianghao Jiao, et al. ∙

research

∙ 05/20/2023

Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion

In recent years, deep learning-based methods have achieved remarkable pr...

0 Zhu Liu, et al. ∙

research

∙ 05/18/2023

MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes

3D object detection plays a crucial role in numerous intelligent vision ...

0 Xingyuan Li, et al. ∙

research

∙ 05/17/2023

NFI_2: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement

Low-light situations severely restrict the pursuit of aesthetic quality ...

0 Xiaofeng Liu, et al. ∙

research

∙ 05/17/2023

An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

This research focuses on the discovery and localization of hidden object...

0 Di Wang, et al. ∙

research

∙ 05/11/2023

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond

Recently, multi-modality scene perception tasks, e.g., image fusion and ...

0 Zhu Liu, et al. ∙

research

∙ 04/12/2023

Modality-Invariant Representation for Infrared and Visible Image Registration

Since the differences in viewing range, resolution and relative position...

0 Zhiying Jiang, et al. ∙

research

∙ 12/29/2022

Practical Exposure Correction: Great Truths Are Always Simple

Improving the visual quality of the given degraded observation by correc...

0 Long Ma, et al. ∙

research

∙ 11/22/2022

Breaking Free from Fusion Rule: A Fully Semantic-driven Infrared and Visible Image Fusion

Infrared and visible image fusion plays a vital role in the field of com...

0 Yuhui Wu, et al. ∙

research

∙ 11/20/2022

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion

Infrared and visible image fusion targets to provide an informative imag...

0 Jinyuan Liu, et al. ∙

research

∙ 11/19/2022

Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement

Underwater image enhancement has become an attractive topic as a signifi...

0 Di Wang, et al. ∙

research

∙ 06/07/2022

Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution

As a highly ill-posed issue, single image super-resolution (SISR) has be...

0 Yuqing Liu, et al. ∙

research

∙ 05/24/2022

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration

Recent learning-based image fusion methods have marked numerous progress...

0 Di Wang, et al. ∙

research

∙ 05/20/2022

Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application

In past years, the minimax type single-level optimization formulation an...

0 Risheng Liu, et al. ∙

research

∙ 04/26/2022

Learning Weighting Map for Bit-Depth Expansion within a Rational Range

Bit-depth expansion (BDE) is one of the emerging technologies to display...

0 Yuqing Liu, et al. ∙

research

∙ 04/21/2022

Toward Fast, Flexible, and Robust Low-Light Image Enhancement

Existing low-light image enhancement techniques are mostly not only diff...

17 Long Ma, et al. ∙

research

∙ 03/30/2022

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection

This study addresses the issue of fusing infrared and visible images tha...

0 Jinyuan Liu, et al. ∙

research

∙ 03/14/2022

Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions

Deformable image registration plays a critical role in various tasks of ...

0 Zi Li, et al. ∙

research

∙ 01/05/2022

Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution

It is challenging to restore low-resolution (LR) images to super-resolut...

17 Yuqing Liu, et al. ∙

research

∙ 12/09/2021

Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement

Enhancing the quality of low-light images plays a very important role in...

4 Long Ma, et al. ∙

research

∙ 12/09/2021

Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision

Images captured from low-light scenes often suffer from severe degradati...

0 Risheng Liu, et al. ∙

research

∙ 11/08/2021

Triple-level Model Inferred Collaborative Network Architecture for Video Deraining

Video deraining is an important issue for outdoor vision systems and has...

3 Pan Mu, et al. ∙

research

∙ 10/18/2021

BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers

As a promising distributed learning technology, analog aggregation based...

0 Xin Fan, et al. ∙

research

∙ 08/26/2021

An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset

With the development of underwater object grabbing technology, underwate...

4 Zhiwei Ma, et al. ∙

research

∙ 07/07/2021

An Overview of Low latency for Wireless Communications: an Evolutionary Perspective

Ultra-low latency supported by the fifth generation (5G) give impetus to...

0 Xin Fan, et al. ∙

research

∙ 06/10/2021

A Dataset And Benchmark Of Underwater Object Detection For Robot Picking

Underwater object detection for robot picking has attracted a lot of int...

0 Chongwei Liu, et al. ∙

research

∙ 04/08/2021

Joint Optimization of Communications and Federated Learning Over the Air

Federated learning (FL) is an attractive paradigm for making use of rich...

0 Xin Fan, et al. ∙

research

∙ 03/30/2021

1-Bit Compressive Sensing for Efficient Federated Learning Over the Air

For distributed learning among collaborative users, this paper develops ...

0 Xin Fan, et al. ∙

research

∙ 12/10/2020

Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement

Low-light image enhancement plays very important roles in low-level visi...

0 Risheng Liu, et al. ∙

research

∙ 12/10/2020

Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision

In recent years, building deep learning models from optimization perspec...

3 Risheng Liu, et al. ∙

research

∙ 04/30/2020

A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration

Conventional deformable registration methods aim at solving a specifical...

6 Risheng Liu, et al. ∙

research

∙ 03/03/2020

UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking

To promote the development of underwater robot picking in sea farms, we ...

4 Zhihui Wang, et al. ∙

research

∙ 10/29/2019

Converged Deep Framework Assembling Principled Modules for CS-MRI

Compressed Sensing Magnetic Resonance Imaging (CS-MRI) significantly acc...

11 Risheng Liu, et al. ∙

research

∙ 10/18/2019

Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling

Properly modeling the latent image distributions always plays a key role...

14 Risheng Liu, et al. ∙

research

∙ 07/23/2019

Position Focused Attention Network for Image-Text Matching

Image-text matching tasks have recently attracted a lot of attention in ...

0 Yaxiong Wang, et al. ∙

research

∙ 07/17/2019

Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation

Enhancing visual qualities for underexposed images is an extensively con...

1 Risheng Liu, et al. ∙

research

∙ 01/15/2019

Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions

Underwater image enhancement is an important low-level vision task with ...

1 Risheng Liu, et al. ∙

research

∙ 11/30/2018

The Graph-based Broad Behavior-Aware Recommendation System for Interactive News

In this paper, we propose a heuristic recommendation system for interact...

0 Mingyuan Ma, et al. ∙

research

∙ 11/09/2018

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI

Magnetic Resonance Imaging (MRI) is one of the most dynamic and safe ima...

0 Risheng Liu, et al. ∙

research

∙ 08/16/2018

On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems

Numerous tasks at the core of statistics, learning and vision areas are ...

12 Risheng Liu, et al. ∙

research

∙ 07/31/2018

Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond

Blind image deblurring plays a very important role in many vision and mu...

2 Risheng Liu, et al. ∙

research

∙ 04/28/2018

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization

Operator splitting methods have been successfully used in computational ...

0 Risheng Liu, et al. ∙

research

∙ 11/23/2017

Self-Reinforced Cascaded Regression for Face Alignment

Cascaded regression is prevailing in face alignment thanks to its accura...

0 Xin Fan, et al. ∙

research

∙ 11/21/2017

Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework

Deep learning models have gained great success in many real-world applic...

0 Risheng Liu, et al. ∙

research

∙ 11/18/2017

Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond

Single image dehazing is an important low-level vision task with many ap...

0 Risheng Liu, et al. ∙

research

∙ 08/09/2017

Sequential Dual Deep Learning with Shape and Texture Features for Sketch Recognition

Recognizing freehand sketches with high arbitrariness is greatly challen...

0 Qi Jia, et al. ∙

research

∙ 08/26/2016

A Fast Ellipse Detector Using Projective Invariant Pruning

Detecting elliptical objects from an image is a central task in robot na...

0 Qi Jia, et al. ∙

Xin Fan

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