European Conference on Computer Vision
E407004
The European Conference on Computer Vision (ECCV) is a leading biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
All labels observed (2)
| Label | Occurrences |
|---|---|
| ECCV | 5 |
| European Conference on Computer Vision canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4020918 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: European Conference on Computer Vision Context triple: [IEEE International Conference on Computer Vision, relatedTo, European Conference on Computer Vision]
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A.
IEEE International Conference on Computer Vision
The IEEE International Conference on Computer Vision (ICCV) is a premier biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
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B.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
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C.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
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D.
ICPR
ICPR is an international organization dedicated to protecting and improving the ecological health and water quality of the Rhine River and its basin.
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E.
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: European Conference on Computer Vision Target entity description: The European Conference on Computer Vision (ECCV) is a leading biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
-
A.
IEEE International Conference on Computer Vision
The IEEE International Conference on Computer Vision (ICCV) is a premier biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
-
B.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
-
C.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
-
D.
ICPR
ICPR is an international organization dedicated to protecting and improving the ecological health and water quality of the Rhine River and its basin.
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E.
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence is a leading peer-reviewed journal that publishes cutting-edge research in computer vision, pattern recognition, and machine learning.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
academic conference
ⓘ
biennial event ⓘ computer vision conference ⓘ |
| abbreviation |
European Conference on Computer Vision
self-linksurface differs
ⓘ
surface form:
ECCV
|
| accepts |
full papers
ⓘ
oral presentations ⓘ poster presentations ⓘ |
| audience |
academic researchers
ⓘ
graduate students ⓘ industry researchers ⓘ |
| coRankedWith |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
surface form:
Conference on Computer Vision and Pattern Recognition
IEEE International Conference on Computer Vision ⓘ
surface form:
International Conference on Computer Vision
|
| field |
computer vision
ⓘ
pattern recognition ⓘ |
| focusesOn |
3D vision
ⓘ
deep learning for vision ⓘ image segmentation ⓘ image understanding ⓘ machine learning for vision ⓘ motion analysis ⓘ object recognition ⓘ video analysis ⓘ |
| frequency | biennial ⓘ |
| hasComponent |
doctoral consortium
ⓘ
industry track ⓘ main conference ⓘ tutorials ⓘ workshops ⓘ |
| hasEditionType | numbered editions ⓘ |
| hasImpactOn |
academic research
ⓘ
computer vision industry applications ⓘ |
| hasProceedingsPublisher | Springer ⓘ |
| knownFor |
competitive acceptance rate
ⓘ
high impact in computer vision research ⓘ top-tier status in computer vision ⓘ |
| language | English ⓘ |
| paperFormat | archival conference papers ⓘ |
| proceedingsSeries | Lecture Notes in Computer Science ⓘ |
| publishes | peer-reviewed papers ⓘ |
| rankedAs | top computer vision conference ⓘ |
| region | Europe ⓘ |
| reviewProcess | peer review ⓘ |
| scope | international ⓘ |
| sponsoredBy | professional societies in computer vision ⓘ |
| topicCategory |
artificial intelligence
ⓘ
computer science ⓘ |
| typicalMonthHeld |
August
ⓘ
September ⓘ |
| website | https://eccv.org/ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: European Conference on Computer Vision Description of subject: The European Conference on Computer Vision (ECCV) is a leading biennial research conference that showcases cutting-edge advances in computer vision and pattern recognition.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.