b'Zhongxuan Luo'

research

∙ 08/24/2023

Learning Heavily-Degraded Prior for Underwater Object Detection

Underwater object detection suffers from low detection performance becau...

0 Chenping Fu, et al. ∙

research

∙ 08/07/2023

Bilevel Generative Learning for Low-Light Vision

Recently, there has been a growing interest in constructing deep learnin...

0 Yingchi Liu, et al. ∙

research

∙ 08/04/2023

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation

Multi-modality image fusion and segmentation play a vital role in autono...

0 Jinyuan Liu, et al. ∙

research

∙ 07/21/2023

DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport

Sampling from diffusion probabilistic models (DPMs) can be viewed as a p...

0 Zezeng Li, et al. ∙

research

∙ 06/14/2023

OT-Net: A Reusable Neural Optimal Transport Solver

With the widespread application of optimal transport (OT), its calculati...

0 Zezeng Li, 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

∙ 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

∙ 11/20/2022

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

∙ 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

∙ 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

∙ 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

∙ 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

∙ 07/10/2020

Quadrilateral Mesh Generation III: Optimizing Singularity Configuration Based on Abel-Jacobi Theory

This work proposes a rigorous and practical algorithm for generating mer...

0 Xiaopeng Zheng, 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

∙ 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

∙ 07/17/2019

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

∙ 06/29/2019

Quadrilateral Mesh Generation II : Meromorphic Quartic Differentials and Abel-Jacobi Condition

This work discovers the equivalence relation between quadrilateral meshe...

0 Na Lei, et al. ∙

research

∙ 02/08/2019

Mode Collapse and Regularity of Optimal Transportation Maps

This work builds the connection between the regularity theory of optimal...

3 Na Lei, 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

Metric Based Quadrilateral Mesh Generation

This work proposes a novel metric based algorithm for quadrilateral mesh...

0 Wei Chen, 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

∙ 08/09/2018

User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks

Scribble colors based line art colorization is a challenging computer vi...

0 Yuanzheng Ci, 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

∙ 07/05/2018

A Single Shot Text Detector with Scale-adaptive Anchors

Currently, most top-performing text detection networks tend to employ fi...

16 Qi Yuan, et al. ∙

research

∙ 05/26/2018

Geometric Understanding of Deep Learning

Deep learning is the mainstream technique for many machine learning task...

0 Na Lei, 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

∙ 08/26/2016

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. ∙

Zhongxuan Luo

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