On the public citation graph
Analysis of biases in automatic white balance datasets and methods
0 signed · 81 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/col.22535openalex-snapshot
A multi‐illuminant synthetic image test set
inferredcites →https://doi.org/10.1002/col.5080100409openalex-snapshot
Using color to separate reflection components
inferredcites →https://doi.org/10.1007/978-3-030-29891-3_47openalex-snapshot
Large Field/Close-Up Image Classification: From Simple to Very Complex Features
inferredcites →https://doi.org/10.1007/bfb0055683openalex-snapshot
Is machine colour constancy good enough?
inferredcites →https://doi.org/10.1007/s11042-018-6568-2openalex-snapshot
A unifying representation for pixel-precise distance estimation
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s11263-021-01477-5openalex-snapshot
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
inferredcites →https://doi.org/10.1007/s42979-021-00855-7openalex-snapshot
Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality
inferredcites →https://doi.org/10.1016/j.imavis.2009.02.008openalex-snapshot
The 17th British Machine Vision Conference (BMVC 2006)
inferredcites →https://doi.org/10.1016/j.patcog.2009.08.007openalex-snapshot
Automatic color constancy algorithm selection and combination
inferredcites →https://doi.org/10.1016/j.tics.2003.08.002openalex-snapshot
Does colour constancy exist?
inferredcites →https://doi.org/10.1109/access.2020.3045066openalex-snapshot
The Cube++ Illumination Estimation Dataset
inferredcites →https://doi.org/10.1109/access.2021.3064382openalex-snapshot
INTEL-TAU: A Color Constancy Dataset
inferredcites →https://doi.org/10.1109/cvpr.2005.101openalex-snapshot
Colour Constancy Using the Chromagenic Constraint
inferredcites →https://doi.org/10.1109/cvpr.2008.4587765openalex-snapshot
Bayesian color constancy revisited
inferredcites →https://doi.org/10.1109/cvpr.2012.6247659openalex-snapshot
Color constancy using faces
inferredcites →https://doi.org/10.1109/cvpr.2016.57openalex-snapshot
Two Illuminant Estimation and User Correction Preference
inferredcites →https://doi.org/10.1109/cvpr.2017.43openalex-snapshot
FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling
inferredcites →https://doi.org/10.1109/cvpr.2019.01249openalex-snapshot
Quasi-Unsupervised Color Constancy
inferredcites →https://doi.org/10.1109/cvprw.2015.7301275openalex-snapshot
Color constancy using CNNs
inferredcites →https://doi.org/10.1109/iccv48922.2021.01245openalex-snapshot
NeRD: Neural Reflectance Decomposition from Image Collections
inferredcites →https://doi.org/10.1109/iccvw.2011.6130331openalex-snapshot
Color constancy and non-uniform illumination: Can existing algorithms work?
inferredcites →https://doi.org/10.1109/icip.2018.8451229openalex-snapshot
Learning Illuminant Estimation from Object Recognition
inferredcites →https://doi.org/10.1109/icmew.2015.7169868openalex-snapshot
How many, what and why? Visual media statistics on smartphones and tablets
inferredcites →https://doi.org/10.1109/lsp.2013.2285960openalex-snapshot
Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation
inferredcites →https://doi.org/10.1109/tip.2008.2006661openalex-snapshot
Improving Color Constancy Using Indoor–Outdoor Image Classification
inferredcites →https://doi.org/10.1109/tip.2013.2286327openalex-snapshot
Multi-Illuminant Estimation With Conditional Random Fields
inferredcites →https://doi.org/10.1109/tip.2017.2713044openalex-snapshot
Single and Multiple Illuminant Estimation Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tpami.2017.2753239openalex-snapshot
Colour Constancy Beyond the Classical Receptive Field
inferredcites →https://doi.org/10.1117/12.2587589openalex-snapshot
Consensus-driven illuminant estimation with GANs
inferredcites →https://doi.org/10.1117/12.766611openalex-snapshot
Megapixel mythology and photospace: estimating photospace for camera phones from large image sets
inferredcites →https://doi.org/10.1145/3209219.3209248openalex-snapshot
Predicting Users' Personality from Instagram Pictures
inferredcites →https://doi.org/10.1152/jn.00512.2009openalex-snapshot
Comparison of Spatial Summation Properties of Neurons in Macaque V1 and V2
inferredcites →https://doi.org/10.1167/jov.22.4.17openalex-snapshot
Deep neural models for color classification and color constancy
inferredcites →https://doi.org/10.1364/josaa.23.001008openalex-snapshot
Reevaluation of color constancy algorithm performance
inferredcites →https://doi.org/10.1364/josaa.26.002243openalex-snapshot
Perceptual analysis of distance measures for color constancy algorithms
inferredcites →https://doi.org/10.1364/josaa.31.001049openalex-snapshot
Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution
inferredcites →https://doi.org/10.1364/josaa.398692openalex-snapshot
ARC: Angle-Retaining Chromaticity diagram for color constancy error analysis
inferredcites →https://doi.org/10.1364/josaa.434860openalex-snapshot
On the evaluation of temporal and spatial stability of color constancy algorithms
inferredcites →https://doi.org/10.1371/journal.pone.0135029openalex-snapshot
Rethinking Colour Constancy
inferredcites →https://doi.org/10.2352/cic.2003.11.1.art00028openalex-snapshot
A Large Image Database for Color Constancy Research
inferredcites →https://doi.org/10.2352/issn.2169-2629.2018.26.350openalex-snapshot
Rehabilitating the ColorChecker Dataset for Illuminant Estimation
inferredcites →https://doi.org/10.2352/j.imagingsci.technol.(2008)52:4(040906)openalex-snapshot
Bright Chromagenic Algorithm for Illuminant Estimation
inferredcites →https://doi.org/10.2352/j.imagingsci.technol.2020.64.5.050411openalex-snapshot
A Flying Gray Ball Multi-illuminant Image Dataset for Color Research
inferredcites →https://doi.org/10.48550/arxiv.1602.07360openalex-snapshot
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
inferredcites →https://doi.org/10.5220/0006621801810188openalex-snapshot
Unsupervised Learning for Color Constancy
inferredcites →https://doi.org/10.5244/c.28.70openalex-snapshot
Reproduction Angular Error: An Improved Performance Metric for Illuminant Estimation
inferredcites →https://doi.org/10.5244/c.31.77openalex-snapshot
Colour Constancy: Biologically-inspired Contrast Variant Pooling Mechanism
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.6340369openalex-extracted
SadaColorDataset (SCD): 9 Paper Colors × 4 Illumination Conditions for Robust Color Vision Evaluation
inferred← citeshttps://doi.org/10.1002/col.22970openalex-snapshot
Auto‐White Balance Algorithm of Skin Color Based on Asymmetric Generative Adversarial Network
inferred← citeshttps://doi.org/10.1007/978-3-031-72845-7_19openalex-snapshot
Revisiting Color Constancy Using CNNs: Including Recent Observations
inferred← citeshttps://doi.org/10.1007/978-3-031-72845-7_20openalex-snapshot
Enforcing Temporal Consistency for Color Constancy in Video Sequences
inferred← citeshttps://doi.org/10.1007/978-3-032-03527-1_35openalex-snapshot
An Adaptive Gravitational Search Algorithm for Data Clustering
inferred← citeshttps://doi.org/10.1007/978-3-032-30005-8_45openalex-snapshot
An Intelligent Real-Time System for Color Vision Deficiency Simulation, Correction, and Visual Accessibility
inferred← citeshttps://doi.org/10.1007/978-3-032-36839-3_35openalex-snapshot
Multi-block-Attention-Based Color Constancy
inferred← citeshttps://doi.org/10.1007/978-981-96-0911-6_16openalex-snapshot
A Computational Model for Color Assimilation Illusions and Color Constancy
inferred← citeshttps://doi.org/10.1007/s00371-023-03148-7openalex-snapshot
Multi-scale color constancy based on salient varying local spatial statistics
inferred← citeshttps://doi.org/10.1007/s11263-025-02595-0openalex-snapshot
A Traditional Approach for Color Constancy and Color Assimilation Illusions with Its Applications to Low-Light Image Enhancement
inferred← citeshttps://doi.org/10.1016/j.compag.2026.112031openalex-snapshot
Multi-device RGB image alignment for color-based prediction of soil organic carbon
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.111175openalex-snapshot
Uncertainty estimation in color constancy
inferred← citeshttps://doi.org/10.1109/diia62678.2024.10871910openalex-snapshot
UNet-Based YOLO for Underwater Object Detection
inferred← citeshttps://doi.org/10.1109/icce-berlin56473.2022.9937133openalex-snapshot
Truncated Edge-based Color Constancy
inferred← citeshttps://doi.org/10.1109/inforino60363.2024.10551997openalex-snapshot
Introduction of the Image Processing and Machine Learning Techniques for Pupils
inferred← citeshttps://doi.org/10.1145/3661638.3661659openalex-snapshot
Research and Design of Image White Balance Algorithm Based on FPGA
inferred← citeshttps://doi.org/10.1364/josaa.505814openalex-snapshot
Effective cross-sensor color constancy using a dual-mapping strategy
inferred← citeshttps://doi.org/10.1364/josaa.506186openalex-snapshot
RGB color constancy using multispectral pixel information
inferred← citeshttps://doi.org/10.1364/josaa.550307openalex-snapshot
Color correction for multi-camera systems: aligning white points
inferred← citeshttps://doi.org/10.2352/cic.2023.31.1.30openalex-snapshot
A General-purpose Pipeline for Realistic Synthetic Multispectral Image Dataset Generation
inferred← citeshttps://doi.org/10.2352/j.imagingsci.technol.2023.67.5.050404openalex-snapshot
Visualizing Perceptual Differences in White Color Constancy
inferred← citeshttps://doi.org/10.23919/eusipco58844.2023.10289937openalex-snapshot
CC-NORD: A Camera-Invariant Global Color Constancy Dataset
inferred← citeshttps://doi.org/10.23919/eusipco58844.2023.10290103openalex-snapshot
Multi-Scale Block-Based Color Constancy
inferred← citeshttps://doi.org/10.29056/jdaem.2024.12.07openalex-snapshot
Detecting Hazards on Road Surfaces through Image Enhancement
inferred← citeshttps://doi.org/10.3390/jimaging8090232openalex-snapshot
Angle-Retaining Chromaticity and Color Space: Invariants and Properties
inferred← citeshttps://doi.org/10.3390/technologies13060232openalex-snapshot
A New Method for Camera Auto White Balance for Portrait
inferred← citeshttps://doi.org/10.35848/1347-4065/ae5253openalex-snapshot
High-efficiency AWB circuit engine using ultra-lightweight Half-SqueezeNet-DSC architecture with attention-based complexity reduction
inferred← citeshttps://doi.org/10.36306/konjes.1633932openalex-snapshot
CORTISOL HORMONE AND STRESS LEVELS: COLORIMETRIC ASSESSMENT WITH ARTIFICIAL INTELLIGENCE SUPPORTED IMAGE PROCESSING METHOD
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.