Tobi Delbrück
E645814
Tobi Delbrück is a neuroscientist and engineer known for his pioneering work in neuromorphic engineering and event-based vision sensors.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tobi Delbrück canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7160243 — 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: Tobi Delbrück Context triple: [Carver A. Mead, notableStudent, Tobi Delbrück]
-
A.
Tobias Kohn
Tobias Kohn is a computer scientist and software developer known for his contributions to the Python language, including co-authoring PEP 622 on pattern matching.
-
B.
Tobias A. Schliessler
Tobias A. Schliessler is a German-born cinematographer known for his work on major Hollywood films such as "Dreamgirls," "Friday Night Lights," and "Hancock."
-
C.
Michael Lehmann
Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
-
D.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
-
E.
Michael Hecht
Michael Hecht is a scientist best known for leading NASA’s MOXIE experiment on the Perseverance rover, which demonstrates in-situ oxygen production on Mars.
- 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: Tobi Delbrück Target entity description: Tobi Delbrück is a neuroscientist and engineer known for his pioneering work in neuromorphic engineering and event-based vision sensors.
-
A.
Tobias Kohn
Tobias Kohn is a computer scientist and software developer known for his contributions to the Python language, including co-authoring PEP 622 on pattern matching.
-
B.
Tobias A. Schliessler
Tobias A. Schliessler is a German-born cinematographer known for his work on major Hollywood films such as "Dreamgirls," "Friday Night Lights," and "Hancock."
-
C.
Michael Lehmann
Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
-
D.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
-
E.
Michael Hecht
Michael Hecht is a scientist best known for leading NASA’s MOXIE experiment on the Perseverance rover, which demonstrates in-situ oxygen production on Mars.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
neuroscientist
ⓘ
person ⓘ |
| citizenship | Switzerland ⓘ |
| countryOfWork | Switzerland ⓘ |
| developed |
asynchronous time-based image sensor concepts
ⓘ
dynamic vision sensor (DVS) ⓘ |
| educatedAt |
Caltech
ⓘ
linked to:
California Institute of Technology
University of California, San Diego ⓘ |
| employer |
ETH Zurich
ⓘ
University of Zurich ⓘ |
| fieldOfWork |
bio-inspired vision
ⓘ
computational neuroscience ⓘ event-based vision ⓘ mixed-signal VLSI ⓘ neuromorphic engineering ⓘ silicon retinas ⓘ |
| hasAcademicDiscipline |
electrical engineering
ⓘ
neuroscience ⓘ |
| hasPublicationType |
book chapters
ⓘ
conference papers ⓘ journal articles ⓘ |
| hasRole |
doctoral advisor
ⓘ
research group leader ⓘ |
| influenced |
design of commercial event-based vision sensors
ⓘ
development of event-based computer vision community ⓘ |
| knownFor |
address-event representation circuits
ⓘ
development of event-based vision sensors ⓘ dynamic vision sensor ⓘ pioneering work in neuromorphic engineering ⓘ |
| language |
English
ⓘ
German ⓘ |
| memberOf | Institute of Neuroinformatics, University of Zurich and ETH Zurich ⓘ |
| notableContribution |
address-event representation (AER) communication for neuromorphic chips
ⓘ
bio-inspired vision sensor architectures ⓘ hardware implementations of spiking neural networks ⓘ |
| occupation | professor ⓘ |
| researchInterest |
event-driven sensing
ⓘ
low-power vision sensors ⓘ neuromorphic circuits ⓘ spike-based computation ⓘ |
| workLocation | Zurich ⓘ |
| worksOn |
high-dynamic-range vision sensors
ⓘ
low-latency visual processing ⓘ real-time vision for robotics ⓘ |
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: Tobi Delbrück Description of subject: Tobi Delbrück is a neuroscientist and engineer known for his pioneering work in neuromorphic engineering and event-based vision sensors.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.