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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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International Journal of Computer Vision
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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.

102 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.
102 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 102 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 102 of 102 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.

affno abstractunlabeled
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
2004· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
6,198
citations
afffundno abstractunlabeled
LabelMe: A Database and Web-Based Tool for Image Annotation
Bryan Russell, Antonio Torralba, Kevin Murphy, William T. Freeman
2007· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
4,205
citations
affno abstractunlabeled
Incremental Learning for Robust Visual Tracking
David A. Ross, Jongwoo Lim, Ruei-Sung Lin, Ming–Hsuan Yang
2007· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
3,101
citations
affunlabeled
Deep Learning for Generic Object Detection: A Survey
Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu +1 more
2019· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
2,776
citations
affno abstractunlabeled
Pictorial Structures for Object Recognition
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
2004· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
2,199
citations
affno abstractunlabeled
Graph Cuts and Efficient N-D Image Segmentation
Yuri Boykov, Gareth Funka-Lea
2006· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
1,904
citations
afffundno abstractunlabeled
Semantic Understanding of Scenes Through the ADE20K Dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso +1 more
2018· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
1,667
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
affno abstractunlabeled
Energy-Based Geometric Multi-model Fitting
Hossam Isack, Yuri Boykov
2011· article· en· International Journal of Computer Vision· Environmental Science
machine prediction:candidate · noneconsensus · none
314
citations
afffundno abstractunlabeled
Hamilton-Jacobi Skeletons
Kaleem Siddiqi, Sylvain Bouix, Allen Tannenbaum, Steven W. Zucker
2002· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
286
citations
affno abstractunlabeled
Benchmarking Image Segmentation Algorithms
Francisco José Pozuelos Estrada, Allan D. Jepson
2009· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
184
citations
affno abstractunlabeled
Multiscale Medial Loci and Their Properties
Stephen M. Pizer, Kaleem Siddiqi, Gábor Székely, James Damon, Steven W. Zucker
2003· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
175
citations
affno abstractunlabeled
Contextual Part Analogies in 3D Objects
Lior Shapira, S. Shalom, Ariel Shamir, Daniel Cohen‐Or, Hao Zhang
2009· article· en· International Journal of Computer Vision· Engineering
machine prediction:candidate · noneconsensus · none
169
citations
afffundno abstractunlabeled
Object Recognition as Many-to-Many Feature Matching
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman, Lars Bretzner, Sven Dickinson
2006· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
145
citations
affno abstractunlabeled
Modeling Coverage in Camera Networks: A Survey
Aaron Mavrinac, Xiang Chen
2012· article· en· International Journal of Computer Vision· Engineering
machine prediction:candidate · noneconsensus · none
138
citations
afffundno abstractunlabeled
Design and Use of Linear Models for Image Motion Analysis
David J. Fleet, Michael J. Black, Yaser Yacoob, Allan D. Jepson
2000· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
109
citations
affno abstractunlabeled
Instance Segmentation in the Dark
Linwei Chen, Ying Fu, Kaixuan Wei, Dezhi Zheng, Felix Heide
2023· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
86
citations
affno abstractunlabeled
Plane-Based Calibration for Linear Cameras
Jamil Draréni, Sébastien Roy, Peter Sturm
2010· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
56
citations
affno abstractunlabeled
Confocal Stereo
Samuel W. Hasinoff, Kiriakos N. Kutulakos
2008· article· en· International Journal of Computer Vision· Engineering
machine prediction:candidate · noneconsensus · none
55
citations
afffundno abstractunlabeled
Learning Articulated Structure and Motion
David A. Ross, Daniel Tarlow, Richard S. Zemel
2010· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affno abstractunlabeled
Learning to Recognize Objects with Little Supervision
Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas
2007· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations
affno abstractunlabeled
Layout2image: Image Generation from Layout
Bo Zhao, Weidong Yin, Lili Meng, Leonid Sigal
2020· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
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