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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Image Enhancement Techniques
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

473 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
473 works in the cohort · of 4,299,418page 1 of 10

Labels cover 0 of 473 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 473 of 473 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
HDR-VDP-2
Rafał Mantiuk, Kil Joong Kim, Allan G. Rempel, Wolfgang Heidrich
2011· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
644
citations
fundno affunlabeled
Intrinsic images in the wild
Sean Bell, Kavita Bala, Noah Snavely
2014· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
403
citations
afffundunlabeled
Learning to predict indoor illumination from a single image
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné +1 more
2017· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
332
citations
fundno affunlabeled
Nonlinear Unsharp Masking for Mammogram Enhancement
Karen Panetta, Yicong Zhou, Sos С. Agaian, Hongwei Jia
2011· article· en· IEEE Transactions on Information Technology in Biomedicine· Computer Science
machine prediction:candidate · noneconsensus · none
199
citations
affunlabeled
Ldr2Hdr
Allan G. Rempel, Matthew Trentacoste, Helge Seetzen, H. David Young, Wolfgang Heidrich, Lorne Whitehead +1 more
2007· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
177
citations
affunlabeled
Color correction for tone mapping
Rafał Mantiuk, Anna Tomaszewska, Wolfgang Heidrich
2009· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
164
citations
affunlabeled
Near-infrared guided color image dehazing
Feng Chen, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Sabine Süsstrunk
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
115
citations
affunlabeled
A novel cost effective demosaicing approach
Konstantinos N. Plataniotis, Dimitrios Hatzinakos, M. Aleksić
2004· article· en· IEEE Transactions on Consumer Electronics· Computer Science
machine prediction:candidate · noneconsensus · none
89
citations
affunlabeled
Learning Frequency Domain Priors for Image Demoireing
Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun +3 more
2021· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
affunlabeled
Retinex in Matlab.
Brian Funt, Florian Ciurea, John J. McCann
2000· article· en· Color Imaging Conference· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
affunlabeled
Efficient Model-Driven Network for Shadow Removal
Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong, Zheng-Jun Zha
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
58
citations
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