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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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Human Motion and Animation
Retraction
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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
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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.

523 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
523 works in the cohort · of 4,299,418page 3 of 11

Labels cover 0 of 523 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 523 of 523 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
Using Music To Interact With A Virtual Character
Robyn Taylor, Daniel Torres, Pierre Boulanger
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Aesthetic edits for character animation
Michael Neff, Eugene Fiume
2003· article· en· Symposium on Computer Animation· Engineering
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Artist friendly facial animation retargeting
Yeongho Seol, Jaewoo Seo, Paul Hyunjin Kim, John Lewis, Junyong Noh
2011· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
New Behavioral Paradigms for Virtual Human Models
Norman I. Badler, Jan M. Allbeck, Seung-Joo Lee, Richard J. Rabbitz, Timothy T. Broderick, Kevin M. Mulkern
2005· article· en· SAE technical papers on CD-ROM/SAE technical paper series· Engineering
machine prediction:candidate · noneconsensus · none
29
citations
afffundunlabeled
Methods for exploring expressive stance
Michael Neff, Eugene Fiume
2004· article· en· Computer animation and simulation· Engineering
machine prediction:candidate · noneconsensus · none
28
citations
afffundunlabeled
Gesture3D
Mikhail Bessmeltsev, Nicholas Vining, Alla Sheffer
2016· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Capturing the Complexity of Hair Motion
Eric Plante, Marie‐Paule Cani, Pierre Poulin
2002· article· en· Graphical Models· Engineering
machine prediction:candidate · noneconsensus · none
25
citations
afffundunlabeled
Complementary dynamics
Jiayi Eris Zhang, Seungbae Bang, David I. W. Levin, Alec Jacobson
2020· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
24
citations
afffundunlabeled
Mova
Omid Alemi, Philippe Pasquier, Chris Shaw
2014· article· en· Engineering
machine prediction:candidate · noneconsensus · none
24
citations
afffundunlabeled
Sketch2Pose
Kirill Brodt, Mikhail Bessmeltsev
2022· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
An inverse dynamics approach to face animation
Michel Pitermann, Kevin G. Munhall
2001· article· en· The Journal of the Acoustical Society of America· Engineering
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Multi‐Variate Gaussian‐Based Inverse Kinematics
Jing Huang, Qi Wang, Marco Fratarcangeli, Ke Yan, Catherine Pélachaud
2017· article· en· Computer Graphics Forum· Engineering
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Synthesis of constrained walking skills
Stelian Coros, Philippe Beaudoin, Kang Yin, Michiel van de Panne
2008· article· en· Engineering
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
Motion In-Betweening via Deep -Interpolator
Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark Coates
2023· article· en· IEEE Transactions on Visualization and Computer Graphics· Engineering
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
ChronoFab
Rubaiat Habib Kazi, Tovi Grossman, Cory Mogk, Ryan Schmidt, George Fitzmaurice
2016· article· en· Engineering
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
The dancing genome project
François‐Joseph Lapointe, Martine Époque
2005· article· en· Engineering
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
EigenSkin
Paul G. Kry, Doug L. James, Dinesh K. Pai
2002· article· en· Engineering
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Learning to Get Up
Tianxin Tao, Matthew Wilson, Ruiyu Gou, Michiel van de Panne
2022· article· en· Engineering
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Interaction capture and synthesis
Paul G. Kry, Dinesh K. Pai
2006· article· en· Engineering
machine prediction:candidate · noneconsensus · none
17
citations
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