Jitendra Malik
E329214
Jitendra Malik is a prominent computer scientist known for his influential work in computer vision and machine learning, and for mentoring leading researchers in the field.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jitendra Malik canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3094195 — 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: Jitendra Malik Context triple: [Alexei Efros, hasAcademicAdvisor, Jitendra Malik]
-
A.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
B.
Tinku Jain
Tinku Jain is known as the spouse of Ajit Jain, the prominent Berkshire Hathaway insurance executive and close associate of Warren Buffett.
-
C.
Vijay Kumar
Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
-
D.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
E.
Ranvir Singh
Ranvir Singh is a British television presenter and journalist best known for her work on ITV’s Good Morning Britain and other news and current affairs programmes.
- 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: Jitendra Malik Target entity description: Jitendra Malik is a prominent computer scientist known for his influential work in computer vision and machine learning, and for mentoring leading researchers in the field.
-
A.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
B.
Tinku Jain
Tinku Jain is known as the spouse of Ajit Jain, the prominent Berkshire Hathaway insurance executive and close associate of Warren Buffett.
-
C.
Vijay Kumar
Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
-
D.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
E.
Ranvir Singh
Ranvir Singh is a British television presenter and journalist best known for her work on ITV’s Good Morning Britain and other news and current affairs programmes.
- F. None of above. chosen
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
computer scientist ⓘ researcher ⓘ |
| academicDegree |
Bachelor’s degree in Electrical Engineering from IIT Delhi
ⓘ
PhD in Computer Science from Stanford University ⓘ |
| awardReceived |
Fellow of the Association for Computing Machinery
ⓘ
surface form:
ACM Fellow
IEEE Computer Society awards ⓘ
surface form:
IEEE Computer Society Technical Achievement Award
IEEE Fellow ⓘ Longuet-Higgins Prize ⓘ Marr Prize ⓘ Member of the American Academy of Arts and Sciences ⓘ Member of the National Academy of Engineering ⓘ Member of the National Academy of Sciences ⓘ PAMI Distinguished Researcher Award ⓘ Royal Society Milner Award ⓘ |
| citizenship | United States of America ⓘ |
| countryOfOrigin | India ⓘ |
| doctoralAdvisor | Bernd Girod ⓘ |
| doctoralThesis | Interpreting Line Drawings of Curved Objects ⓘ |
| doctoralThesisYear | 1985 ⓘ |
| educatedAt |
Indian Institute of Technology Delhi
ⓘ
Stanford University ⓘ |
| employer | University of California, Berkeley ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computational neuroscience ⓘ computer vision ⓘ image segmentation ⓘ machine learning ⓘ object recognition ⓘ perceptual organization ⓘ shape analysis ⓘ |
| hasORCID | 0000-0002-XXXX-XXXX ⓘ |
| knownFor |
Normalized Cuts for image segmentation
ⓘ
graph-based image segmentation algorithm ⓘ mentoring leading researchers in computer vision ⓘ research on human visual perception ⓘ work in computer vision ⓘ work in contour detection ⓘ work in image segmentation ⓘ work in object recognition ⓘ |
| notableStudent |
Abhinav Gupta
ⓘ
Deva Ramanan ⓘ Pietro Perona NERFINISHED ⓘ Sanja Fidler ⓘ Alexei Efros ⓘ
surface form:
Serge Belongie
Stella Yu ⓘ Trevor Darrell ⓘ |
| positionHeld |
Arthur J. Chick Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley
ⓘ
Chair of the Computer Science Division at the University of California, Berkeley ⓘ Director of the Berkeley Artificial Intelligence Research Lab ⓘ Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley ⓘ |
| workplace | University of California, Berkeley ⓘ |
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: Jitendra Malik Description of subject: Jitendra Malik is a prominent computer scientist known for his influential work in computer vision and machine learning, and for mentoring leading researchers in the field.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.