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09/11/2023
Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments
Super-resolution tasks oriented to images captured in ultra-dark environ...
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09/07/2023
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation
Object detection in low-light scenarios has attracted much attention in ...
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09/03/2023
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion
Multi-exposure image fusion (MEF) has emerged as a prominent solution to...
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09/03/2023
AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training
Monocular 3D object detection plays a pivotal role in the field of auton...
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09/03/2023
Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception
Due to the uneven scattering and absorption of different light wavelengt...
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09/03/2023
Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework
The detection of small infrared targets against blurred and cluttered ba...
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09/02/2023
ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning
In recent times, learning-based methods for video deraining have demonst...
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09/02/2023
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction
Photographs taken with less-than-ideal exposure settings often display p...
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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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08/22/2023
Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration
Misalignments between multi-modality images pose challenges in image fus...
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08/08/2023
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation
Infrared and visible image fusion is a powerful technique that combines ...
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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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08/02/2023
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond
Underwater images suffer from light refraction and absorption, which imp...
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07/31/2023
Multi-Spectral Image Stitching via Spatial Graph Reasoning
Multi-spectral image stitching leverages the complementarity between inf...
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07/28/2023
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications
The complexity of learning problems, such as Generative Adversarial Netw...
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07/07/2023
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios
Underwater degraded images greatly challenge existing algorithms to dete...
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06/02/2023
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement
Enhancing images in low-light scenes is a challenging but widely concern...
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05/29/2023
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining
Rain streaks significantly decrease the visibility of captured images an...
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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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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...
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05/20/2023
Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion
In recent years, deep learning-based methods have achieved remarkable pr...
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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 ...
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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 ...
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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...
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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 ...
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04/12/2023
Modality-Invariant Representation for Infrared and Visible Image Registration
Since the differences in viewing range, resolution and relative position...
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02/11/2023
Hierarchical Optimization-Derived Learning
In recent years, by utilizing optimization techniques to formulate the p...
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02/07/2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Gradient methods have become mainstream techniques for Bi-Level Optimiza...
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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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11/22/2022
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...
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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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11/19/2022
Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement
Underwater image enhancement has become an attractive topic as a signifi...
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06/16/2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Recently, Optimization-Derived Learning (ODL) has attracted attention fr...
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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...
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05/20/2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application
In past years, the minimax type single-level optimization formulation an...
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05/20/2022
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees
Gradient methods have become mainstream techniques for Bi-Level Optimiza...
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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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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...
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10/11/2021
Value-Function-based Sequential Minimization for Bi-level Optimization
Gradient-based Bi-Level Optimization (BLO) methods have been widely appl...
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10/01/2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
In recent years, Bi-Level Optimization (BLO) techniques have received ex...
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06/15/2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
Bi-level optimization model is able to capture a wide range of complex l...
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02/16/2021
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization
In recent years, gradient-based methods for solving bi-level optimizatio...
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01/27/2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Bi-Level Optimization (BLO) is originated from the area of economic game...
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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