IEEE Computer Society Conference on Computer Vision and Pattern Recognition
E4443
academic conference
computer vision conference
machine learning conference
pattern recognition conference
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.
All labels observed (9)
How this entity was disambiguated
This entity first appeared as the object of triple T22516 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Context triple: [IEEE Computer Society, organizes, IEEE Computer Society Conference on Computer Vision and Pattern Recognition]
-
A.
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.
-
B.
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.
-
C.
IEEE Computer magazine
IEEE Computer magazine is a leading peer-reviewed publication that covers advances, trends, and research in computer science and engineering for professionals and academics worldwide.
-
D.
Fall Joint Computer Conference
The Fall Joint Computer Conference was a major mid-20th-century computing conference in the United States, known for landmark technology demonstrations and influential research presentations.
-
E.
IEEE Computer Society
The IEEE Computer Society is a leading professional organization dedicated to advancing computer science and engineering through publications, conferences, standards, and educational activities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Target entity description: 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.
-
A.
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.
-
B.
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.
-
C.
IEEE Computer magazine
IEEE Computer magazine is a leading peer-reviewed publication that covers advances, trends, and research in computer science and engineering for professionals and academics worldwide.
-
D.
Fall Joint Computer Conference
The Fall Joint Computer Conference was a major mid-20th-century computing conference in the United States, known for landmark technology demonstrations and influential research presentations.
-
E.
IEEE Computer Society
The IEEE Computer Society is a leading professional organization dedicated to advancing computer science and engineering through publications, conferences, standards, and educational activities.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
academic conference
ⓘ
computer vision conference ⓘ machine learning conference ⓘ pattern recognition conference ⓘ |
| accepts |
oral presentations
ⓘ
poster presentations ⓘ research papers ⓘ |
| audience |
industry practitioners
ⓘ
researchers ⓘ students ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| digitalLibrary |
IEEE Xplore Digital Library
ⓘ
surface form:
IEEE Xplore
|
| field |
computer vision
ⓘ
machine learning ⓘ pattern recognition ⓘ |
| focus |
cutting-edge advances in computer vision
ⓘ
cutting-edge advances in machine learning ⓘ cutting-edge advances in pattern recognition ⓘ |
| frequency | annual ⓘ |
| hasComponent |
challenges and competitions
ⓘ
doctoral consortium ⓘ industry expo ⓘ main conference ⓘ tutorials ⓘ workshops ⓘ |
| impact | highly cited publications ⓘ |
| language | English ⓘ |
| location | various international locations ⓘ |
| organizer | IEEE Computer Society ⓘ |
| publicationVenue |
IEEE Publications
ⓘ
surface form:
IEEE conference proceedings
|
| ranking | top-tier computer vision conference ⓘ |
| reviewProcess | peer reviewed ⓘ |
| scope |
3D vision
ⓘ
autonomous driving perception ⓘ biometrics ⓘ deep learning for vision ⓘ image segmentation ⓘ image understanding ⓘ medical image analysis ⓘ multimedia analysis ⓘ object detection ⓘ pattern analysis ⓘ representation learning for vision ⓘ robot vision ⓘ scene understanding ⓘ video analysis ⓘ visual recognition ⓘ |
| shortName |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
self-linksurface differs
ⓘ
surface form:
CVPR
|
| sponsor |
Institute of Electrical and Electronics Engineers
ⓘ
surface form:
IEEE
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence ⓘ |
| typicalMonth | June ⓘ |
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.
Instruction
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.
Input
Subject: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Description of subject: 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.
Referenced by (17)
Full triples — surface form annotated when it differs from this entity's canonical label.
IEEE Computer Society
→
organizes
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
→
shortName
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
self-linksurface differs
ⓘ
this entity surface form:
CVPR
Oriol Vinyals
→
publicationVenue
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR
ResNet
→
firstPublishedVenue
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR 2016
IEEE International Conference on Computer Vision
→
relatedTo
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
Conference on Computer Vision and Pattern Recognition
Inception architecture
→
paperPublishedAt
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR 2015
Barret Zoph
→
publicationVenue
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
Conference on Computer Vision and Pattern Recognition
Sergey Ioffe
→
publishedIn
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
IEEE Conference on Computer Vision and Pattern Recognition
Show and Tell: A Neural Image Caption Generator
→
publishedIn
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Show and Tell: A Neural Image Caption Generator
→
venue
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR
StyleGAN
→
publishedAtConference
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR 2019
Phillip Isola
→
publishedIn
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR
Jun-Yan Zhu
→
publishedIn
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR
this entity surface form:
ICPR
Visual Geometry Group
→
publishesIn
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR
Xiangyu Zhang
→
publicationVenue
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
CVPR
European Conference on Computer Vision
→
coRankedWith
→
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
this entity surface form:
Conference on Computer Vision and Pattern Recognition