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08/24/2023
Learning Heavily-Degraded Prior for Underwater Object Detection
Underwater object detection suffers from low detection performance becau...
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08/07/2023
Bilevel Generative Learning for Low-Light Vision
Recently, there has been a growing interest in constructing deep learnin...
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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...
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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...
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06/14/2023
OT-Net: A Reusable Neural Optimal Transport Solver
With the widespread application of optimal transport (OT), its calculati...
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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 ...
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12/29/2022
Practical Exposure Correction: Great Truths Are Always Simple
Improving the visual quality of the given degraded observation by correc...
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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...
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04/21/2022
Toward Fast, Flexible, and Robust Low-Light Image Enhancement
Existing low-light image enhancement techniques are mostly not only diff...
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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...
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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 ...
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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...
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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...
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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...
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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...
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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...
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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...
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04/30/2020
A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration
Conventional deformable registration methods aim at solving a specifical...
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10/29/2019
Converged Deep Framework Assembling Principled Modules for CS-MRI
Compressed Sensing Magnetic Resonance Imaging (CS-MRI) significantly acc...
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10/18/2019
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling
Properly modeling the latent image distributions always plays a key role...
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07/17/2019
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation
Enhancing visual qualities for underexposed images is an extensively con...
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06/29/2019
Quadrilateral Mesh Generation II : Meromorphic Quartic Differentials and Abel-Jacobi Condition
This work discovers the equivalence relation between quadrilateral meshe...
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02/08/2019
Mode Collapse and Regularity of Optimal Transportation Maps
This work builds the connection between the regularity theory of optimal...
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01/15/2019
Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions
Underwater image enhancement is an important low-level vision task with ...
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11/30/2018
Metric Based Quadrilateral Mesh Generation
This work proposes a novel metric based algorithm for quadrilateral mesh...
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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...
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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 ...
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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...
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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...
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07/05/2018
A Single Shot Text Detector with Scale-adaptive Anchors
Currently, most top-performing text detection networks tend to employ fi...
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05/26/2018
Geometric Understanding of Deep Learning
Deep learning is the mainstream technique for many machine learning task...
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04/28/2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
Operator splitting methods have been successfully used in computational ...
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11/23/2017
Self-Reinforced Cascaded Regression for Face Alignment
Cascaded regression is prevailing in face alignment thanks to its accura...
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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...
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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...
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08/26/2016