Abhinav Gupta
E1017404
Abhinav Gupta is a prominent computer vision and machine learning researcher known for his influential work in visual recognition and deep learning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Abhinav Gupta canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13061791 — 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: Abhinav Gupta Context triple: [Jitendra Malik, notableStudent, Abhinav Gupta]
-
A.
Abhishek Verma
Abhishek Verma is a computer scientist best known as a co-creator of Google Borg, the large-scale cluster management and scheduling system that inspired Kubernetes.
-
B.
Arjun Raina
Arjun Raina is an Indian actor and theatre artist known for his work in film, television, and stage, often associated with experimental and parallel cinema.
-
C.
Sachit Mehra
Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
-
D.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
E.
Gautam Krishna
Gautam Krishna is the son of prominent Telugu film actor Mahesh Babu and is known primarily as a celebrity child in the Indian entertainment industry.
- 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: Abhinav Gupta Target entity description: Abhinav Gupta is a prominent computer vision and machine learning researcher known for his influential work in visual recognition and deep learning.
-
A.
Abhishek Verma
Abhishek Verma is a computer scientist best known as a co-creator of Google Borg, the large-scale cluster management and scheduling system that inspired Kubernetes.
-
B.
Arjun Raina
Arjun Raina is an Indian actor and theatre artist known for his work in film, television, and stage, often associated with experimental and parallel cinema.
-
C.
Sachit Mehra
Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
-
D.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
E.
Gautam Krishna
Gautam Krishna is the son of prominent Telugu film actor Mahesh Babu and is known primarily as a celebrity child in the Indian entertainment industry.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
computer vision researcher
ⓘ
machine learning researcher ⓘ person ⓘ |
| citizenship | India ⓘ |
| educatedAt |
Carnegie Mellon University
ⓘ
linked to:
CMU
Indian Institute of Technology ⓘ
linked to:
Indian Institutes of Technology
|
| fieldOfWork |
3D vision
ⓘ
artificial intelligence ⓘ computer vision ⓘ deep learning ⓘ machine learning ⓘ representation learning ⓘ robotics ⓘ self-supervised learning ⓘ visual recognition ⓘ |
| hasAcademicAdvisor | Martial Hebert ⓘ |
| hasAffiliation |
Carnegie Mellon University
ⓘ
linked to:
CMU
Facebook AI Research ⓘ Meta AI ⓘ Robotics Institute, Carnegie Mellon University ⓘ |
| hasPublicationType |
conference papers
ⓘ
journal articles ⓘ workshop papers ⓘ |
| hasPublicationVenue |
CVPR
ⓘ
ECCV ⓘ
linked to:
European Conference on Computer Vision
ICCV ⓘ ICLR ⓘ ICML ⓘ IJCV ⓘ NeurIPS ⓘ PAMI ⓘ |
| hasResearchInterest |
embodied AI
ⓘ
object recognition ⓘ scene understanding ⓘ semi-supervised learning ⓘ unsupervised learning ⓘ |
| knownFor |
research on common-sense reasoning in vision
ⓘ
work on deep learning for vision ⓘ work on large-scale visual recognition ⓘ work on robot learning from visual data ⓘ work on self-supervised visual representation learning ⓘ |
| notableWork |
research on large-scale visual recognition datasets
ⓘ
research on learning visual representations from context ⓘ research on robot learning from unlabeled data ⓘ research on self-supervised learning from videos ⓘ |
| occupation |
computer scientist
ⓘ
professor ⓘ research scientist ⓘ |
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: Abhinav Gupta Description of subject: Abhinav Gupta is a prominent computer vision and machine learning researcher known for his influential work in visual recognition and deep learning.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.