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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.

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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Human Pose and Action Recognition
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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.

affaffiliation
fundfunder
venuejournal
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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.

684 results · 1 filter active ·
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20012025
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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.
684 works in the cohort · of 4,299,418page 6 of 14

Labels cover 1 of 684 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 684 of 684 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
ActAR: Actor-Driven Pose Embeddings for Video Action Recognition
Soufiane Lamghari, Guillaume-Alexandre Bilodeau, Nicolas Saunier
2022· article· en· 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
10
citations
affno abstractunlabeled
Application of 3D-wavelet statistics to video analysis
Mona Omidyeganeh, Shahrokh Ghaemmaghami, Shervin Shirmohammadi
2012· article· en· Multimedia Tools and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Action2Motion
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng +2 more
2020· article· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
9
citations
affunlabeled
Human Motion Video Generation: A Survey
Haiwei Xue, Xiangyang Luo, Zhanghao Hu, Xin Zhang, Xunzhi Xiang, Yuqin Dai +7 more
2025· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Incremental Learning of Full Body Motion Primitives
Dana Kulić, Yoshihiko Nakamura
2009· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
9
citations
afffundunlabeled
Unsupervised Keypoints from Pretrained Diffusion Models
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar +3 more
2024· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
8
citations
affunlabeled
Learning what you can do before doing anything
Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle
2018· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations

How this was built: Screen · Findings · About