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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 2 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.

afffundno abstractunlabeled
Robustly Estimating Changes in Image Appearance
Michael J. Black, David J. Fleet, Yaser Yacoob
2000· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
128
citations
affunlabeled
BA-Net: Dense Bundle Adjustment Networks
Chengzhou Tang, Ping Tan
2018· article· en· Rare & Special e-Zone (The Hong Kong University of Science and Technology)· Computer Science
machine prediction:candidate · noneconsensus · none
123
citations
affunlabeled
<i>Interactive images</i>
Youyi Zheng, Xiang Chen, Ming‐Ming Cheng, Kun Zhou, Shi‐Min Hu, Niloy J. Mitra
2012· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
112
citations
affunlabeled
Multi-view 3D Reconstruction with Transformers
Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu E. Salcudean +2 more
2021· article· en· 2021 IEEE/CVF International Conference on Computer Vision (ICCV)· Computer Science
machine prediction:candidate · noneconsensus · none
110
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
Phase-Based Local Features
Gustavo Carneiro, Allan D. Jepson
2002· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
93
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
fundno affunlabeled
An interactive tool for designing quadrotor camera shots
N. Joubert, Mike Roberts, Anh Minh Truong, Floraine Berthouzoz, Pat Hanrahan
2015· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
77
citations
affunlabeled
Linear Sequence-to-Sequence Alignment
Flávio Luis Cardeal Pádua, R.L. Carceroni, Geise Santos, Kiriakos N. Kutulakos
2009· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
76
citations
affunlabeled
Space-time surface reconstruction using incompressible flow
Andrei Sharf, Dan A. Alcantara, Thomas Lewiner, Chen Greif, Alla Sheffer, Nina Amenta +1 more
2008· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
74
citations
affunlabeled
Rich360
Jungjin Lee, Bumki Kim, Kye-Hyun Kim, Younghui Kim, Junyong Noh
2016· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
affno abstractunlabeled
Generalizable Patch-Based Neural Rendering
Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
2022· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
affno abstractunlabeled
SketchyScene: Richly-Annotated Scene Sketches
Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang +3 more
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
70
citations
affunlabeled
Proximal Deep Structured Models
Shenlong Wang, Sanja Fidler, Raquel Urtasun
2016· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
68
citations
affunlabeled
Patch-Wise Attention Network for Monocular Depth Estimation
Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
66
citations
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