On the public citation graph

A Novel Variational Feature Decomposition Framework for Joint Shadow Detection and Removal in Complex Visual Scenes

0 signed · 39 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01216-8_41openalex-snapshot
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
inferredcites →https://doi.org/10.1007/978-3-540-76725-1_32openalex-snapshot
Robust Color Contour Object Detection Invariant to Shadows
inferredcites →https://doi.org/10.1007/978-3-642-15552-9_24openalex-snapshot
Detecting Ground Shadows in Outdoor Consumer Photographs
inferredcites →https://doi.org/10.1007/s11263-009-0243-zopenalex-snapshot
Entropy Minimization for Shadow Removal
inferredcites →https://doi.org/10.1016/j.patcog.2015.09.006openalex-snapshot
New spectrum ratio properties and features for shadow detection
inferredcites →https://doi.org/10.1109/cvpr.2010.5540209openalex-snapshot
Learning to recognize shadows in monochromatic natural images
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.248openalex-snapshot
DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal
inferredcites →https://doi.org/10.1109/cvpr.2018.00192openalex-snapshot
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
inferredcites →https://doi.org/10.1109/cvpr.2018.00502openalex-snapshot
CRRN: Multi-scale Guided Concurrent Reflection Removal Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00778openalex-snapshot
Direction-Aware Spatial Context Features for Shadow Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00531openalex-snapshot
Distraction-Aware Shadow Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01043openalex-snapshot
Auto-Exposure Fusion for Single-Image Shadow Removal
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00554openalex-snapshot
Bijective Mapping Network for Shadow Removal
inferredcites →https://doi.org/10.1109/globalsip.2015.7418391openalex-snapshot
Improving target tracking by incorporating shadowing fading
inferredcites →https://doi.org/10.1109/iccv.2019.00867openalex-snapshot
Shadow Removal via Shadow Image Decomposition
inferredcites →https://doi.org/10.1109/iccv48922.2021.00498openalex-snapshot
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network
inferredcites →https://doi.org/10.1109/ijcnn54540.2023.10191081openalex-snapshot
SpA-Former:An Effective and lightweight Transformer for image shadow removal
inferredcites →https://doi.org/10.1109/iros.2018.8594050openalex-snapshot
Fast Shadow Detection from a Single Image Using a Patched Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tip.2020.3048677openalex-snapshot
Shadow Removal by a Lightness-Guided Network With Training on Unpaired Data
inferredcites →https://doi.org/10.1109/tnnls.2023.3290078openalex-snapshot
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal
inferredcites →https://doi.org/10.1109/tpami.2003.1182093openalex-snapshot
Illumination from shadows
inferredcites →https://doi.org/10.1109/tpami.2006.18openalex-snapshot
On the removal of shadows from images
inferredcites →https://doi.org/10.1109/tpami.2007.1039openalex-snapshot
Learning and Removing Cast Shadows through a Multidistribution Approach
inferredcites →https://doi.org/10.1109/tpami.2010.157openalex-snapshot
Shadow Removal Using Intensity Surfaces and Texture Anchor Points
inferredcites →https://doi.org/10.1109/tpami.2012.214openalex-snapshot
Paired Regions for Shadow Detection and Removal
inferredcites →https://doi.org/10.1109/tpami.2015.2462355openalex-snapshot
Automatic Shadow Detection and Removal from a Single Image
inferredcites →https://doi.org/10.1109/tpami.2017.2691703openalex-snapshot
Leave-One-Out Kernel Optimization for Shadow Detection and Removal
inferredcites →https://doi.org/10.1111/cgf.13278openalex-snapshot
Video Shadow Removal Using Spatio‐temporal Illumination Transfer
inferredcites →https://doi.org/10.1145/2024156.2024191openalex-snapshot
Rendering synthetic objects into legacy photographs
inferredcites →https://doi.org/10.1145/2070752.2024191openalex-snapshot
Rendering synthetic objects into legacy photographs
inferredcites →https://doi.org/10.1609/aaai.v34i07.6695openalex-snapshot
Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
inferredcites →https://doi.org/10.1609/aaai.v34i07.6979openalex-snapshot
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
inferredcites →https://doi.org/10.23919/eusipco.2017.8081659openalex-snapshot
SAR deception jamming target recognition based on the shadow feature
inferredcites →https://doi.org/10.48550/arxiv.1411.4038openalex-snapshot
Fully Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.48550/arxiv.2010.11619openalex-snapshot
Self-Supervised Shadow Removal
inferredcites →https://doi.org/10.48550/arxiv.2208.13039openalex-snapshot
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal
inferredcites →https://doi.org/10.5244/c.28.36openalex-snapshot
Interactive Shadow Removal and Ground Truth for Variable Scene Categories
inferredcites →https://doi.org/10.5281/zenodo.1159481openalex-snapshot
Sar Deception Jamming Target Recognition Based On The Shadow Feature
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.