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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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Advanced Vision and Imaging
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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.

1,705 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.
1,705 works in the cohort · of 4,299,418page 1 of 35

Labels cover 1 of 1,705 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 1,705 of 1,705 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
Performance of optical flow techniques
John A. Barron, David J. Fleet, Steven S. Beauchemin, T.A. Burkitt
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
740
citations
affunlabeled
On the removal of shadows from images
Graham D. Finlayson, S. D. Hordley, Cheng Lu, Mark S. Drew
2006· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
660
citations
affno abstractunlabeled
Entropy Minimization for Shadow Removal
Graham D. Finlayson, Mark S. Drew, Cheng Lu
2009· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
355
citations
affunlabeled
COTR: Correspondence Transformer for Matching Across Images
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
2021· article· en· 2021 IEEE/CVF International Conference on Computer Vision (ICCV)· Computer Science
machine prediction:candidate · noneconsensus · none
272
citations
afffundunlabeled
OpenVIDIA
James Fung, Steve Mann
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
202
citations
afffundunlabeled
LF-Net: Learning Local Features from Images
Y. Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi
2018· article· en· Infoscience (Ecole Polytechnique Fédérale de Lausanne)· Computer Science
machine prediction:candidate · noneconsensus · none
192
citations
affunlabeled
Extreme View Synthesis
Inchang Choi, Orazio Gallo, Alejandro Troccoli, Min H. Kim, Jan Kautz
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
191
citations
affunlabeled
Kubric: A scalable dataset generator
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth +28 more
2022· article· en· 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)· Computer Science
machine prediction:candidate · noneconsensus · none
190
citations
affunlabeled
Comparison of Basic Visual Servoing Methods
Farrokh Janabi‐Sharifi, Lingfeng Deng, W.J. Wilson
2010· article· en· IEEE/ASME Transactions on Mechatronics· Computer Science
machine prediction:candidate · noneconsensus · none
188
citations
affunlabeled
Learning to Remove Soft Shadows
Maciej Gryka, Michael Terry, Gabriel Brostow
2015· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
155
citations
affunlabeled
Learning Non-Rigid 3D Shape from 2D Motion
Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
143
citations
affunlabeled
Robust Dynamic Radiance Fields
Yu-Lun Liu, Chen Gao, Andréas Meuleman, Hung-Yu Tseng, Ayush Saraf, Chang-Il Kim +3 more
2023· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
134
citations
affunlabeled
Deep Rigid Instance Scene Flow
Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
133
citations
affunlabeled
The Frankencamera
Andrew Adams, Eino-Ville Talvala, Sung Hee Park, David E. Jacobs, Boris Ajdin, Natasha Gelfand +9 more
2010· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
131
citations
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