Sanja Fidler
E1017403
Sanja Fidler is a computer vision researcher and professor known for her work on 3D scene understanding, deep learning, and their applications in graphics and autonomous systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sanja Fidler canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13061790 — 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: Sanja Fidler Context triple: [Jitendra Malik, notableStudent, Sanja Fidler]
-
A.
Janica Kostelić
Janica Kostelić is a Croatian alpine skier widely regarded as one of the greatest in the sport, known especially for winning multiple gold medals at the 2002 Winter Olympics.
-
B.
Tina Maze
Tina Maze is a retired Slovenian alpine ski racer and one of the most successful skiers in history, known for winning multiple Olympic gold medals and overall World Cup titles.
-
C.
Marina Zadar
Marina Zadar is a coastal marina in the Croatian city of Zadar, serving as a popular docking and service hub for yachts and boats in the Adriatic Sea.
-
D.
Blanka Vlašić
Blanka Vlašić is a Croatian high jumper renowned for her multiple world titles and status as one of the greatest female high jumpers in athletics history.
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E.
Anja Lechner
Anja Lechner is a German cellist renowned for her versatile performances spanning classical, contemporary, and world music collaborations.
- 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: Sanja Fidler Target entity description: Sanja Fidler is a computer vision researcher and professor known for her work on 3D scene understanding, deep learning, and their applications in graphics and autonomous systems.
-
A.
Janica Kostelić
Janica Kostelić is a Croatian alpine skier widely regarded as one of the greatest in the sport, known especially for winning multiple gold medals at the 2002 Winter Olympics.
-
B.
Tina Maze
Tina Maze is a retired Slovenian alpine ski racer and one of the most successful skiers in history, known for winning multiple Olympic gold medals and overall World Cup titles.
-
C.
Marina Zadar
Marina Zadar is a coastal marina in the Croatian city of Zadar, serving as a popular docking and service hub for yachts and boats in the Adriatic Sea.
-
D.
Blanka Vlašić
Blanka Vlašić is a Croatian high jumper renowned for her multiple world titles and status as one of the greatest female high jumpers in athletics history.
-
E.
Anja Lechner
Anja Lechner is a German cellist renowned for her versatile performances spanning classical, contemporary, and world music collaborations.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
computer vision researcher
ⓘ
person ⓘ university professor ⓘ |
| fieldOfWork |
3D scene understanding
ⓘ
artificial intelligence ⓘ autonomous systems ⓘ computer vision ⓘ deep learning ⓘ graphics ⓘ machine learning ⓘ |
| gender | female ⓘ |
| hasAcademicDiscipline |
artificial intelligence
ⓘ
computer science ⓘ |
| knownFor |
3D scene understanding in computer vision
ⓘ
applications of vision to autonomous driving ⓘ applications of vision to graphics ⓘ deep learning methods for vision ⓘ |
| notableContribution |
development of methods for 3D scene understanding from images
ⓘ
research on integrating vision with graphics ⓘ research on perception for autonomous systems ⓘ work on deep learning architectures for visual recognition ⓘ |
| occupation |
professor
ⓘ
researcher ⓘ |
| researchInterest |
3D reconstruction
ⓘ
autonomous driving perception ⓘ generative models for images ⓘ object detection ⓘ scene understanding ⓘ semantic segmentation ⓘ vision-and-language models ⓘ |
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: Sanja Fidler Description of subject: Sanja Fidler is a computer vision researcher and professor known for her work on 3D scene understanding, deep learning, and their applications in graphics and autonomous systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.