Perceiving Systems Department
E533115
The Perceiving Systems Department is a research group at the Max Planck Institute for Intelligent Systems that focuses on computational models of perception, including computer vision, machine learning, and the analysis of human and animal motion.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Perceiving Systems Department canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5567028 — 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: Perceiving Systems Department Context triple: [Max Planck Institute for Intelligent Systems, hasResearchGroup, Perceiving Systems Department]
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A.
Institute for Intelligent Systems
The Institute for Intelligent Systems is a research center at the University of Johannesburg focused on advancing artificial intelligence, machine learning, and related intelligent technologies.
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B.
Fraunhofer Institute for Cognitive Systems IKS
The Fraunhofer Institute for Cognitive Systems IKS is a German research institute focused on safe, reliable, and intelligent cognitive systems, particularly in areas like autonomous systems, AI, and embedded software.
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C.
Florida Institute for Human & Machine Cognition
The Florida Institute for Human & Machine Cognition is a research institute focused on human-centered artificial intelligence, robotics, and related technologies to enhance human performance and resilience.
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D.
Department of Systems Innovation
The Department of Systems Innovation is an academic department at the University of Tokyo focused on interdisciplinary research and education in complex systems, engineering, and innovation.
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E.
GRASP Laboratory
The GRASP Laboratory is a renowned robotics and perception research lab at the University of Pennsylvania known for pioneering work in autonomous systems, drones, and computer vision.
- 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: Perceiving Systems Department Target entity description: The Perceiving Systems Department is a research group at the Max Planck Institute for Intelligent Systems that focuses on computational models of perception, including computer vision, machine learning, and the analysis of human and animal motion.
-
A.
Institute for Intelligent Systems
The Institute for Intelligent Systems is a research center at the University of Johannesburg focused on advancing artificial intelligence, machine learning, and related intelligent technologies.
-
B.
Fraunhofer Institute for Cognitive Systems IKS
The Fraunhofer Institute for Cognitive Systems IKS is a German research institute focused on safe, reliable, and intelligent cognitive systems, particularly in areas like autonomous systems, AI, and embedded software.
-
C.
Florida Institute for Human & Machine Cognition
The Florida Institute for Human & Machine Cognition is a research institute focused on human-centered artificial intelligence, robotics, and related technologies to enhance human performance and resilience.
-
D.
Department of Systems Innovation
The Department of Systems Innovation is an academic department at the University of Tokyo focused on interdisciplinary research and education in complex systems, engineering, and innovation.
-
E.
GRASP Laboratory
The GRASP Laboratory is a renowned robotics and perception research lab at the University of Pennsylvania known for pioneering work in autonomous systems, drones, and computer vision.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
research group ⓘ |
| aimsTo |
bridge human perception and machine perception
ⓘ
develop robust visual perception systems ⓘ |
| collaboratesWith |
industry partners
ⓘ
other Max Planck Institutes ⓘ universities ⓘ |
| country | Germany ⓘ |
| fieldOfWork |
3D human pose estimation
ⓘ
3D reconstruction ⓘ animal motion analysis ⓘ artificial intelligence ⓘ biomechanics ⓘ computational models of perception ⓘ computer graphics ⓘ computer vision ⓘ human body modeling ⓘ human motion analysis ⓘ machine learning ⓘ machine perception ⓘ motion capture ⓘ robot perception ⓘ statistical shape modeling ⓘ |
| hasResearchArea |
learning body shape from data
ⓘ
multimodal perception ⓘ neural representations of shape and motion ⓘ perception for autonomous systems ⓘ pose estimation from images and video ⓘ tracking humans in 3D ⓘ |
| languageOfWork |
English
ⓘ
German ⓘ |
| mission | advance the understanding of perception in natural and artificial systems ⓘ |
| organizationType | non-profit research organization unit ⓘ |
| parentOrganization | Max Planck Society ⓘ |
| partOf | Max Planck Institute for Intelligent Systems ⓘ |
| researchFocus |
analysis of animal behavior
ⓘ
analysis of human activities ⓘ building generative models of bodies and motion ⓘ data-driven models of 3D shape ⓘ interpreting images and video ⓘ learning-based visual perception ⓘ modeling how humans and animals move ⓘ understanding human perception through computational models ⓘ |
| usesMethod |
deep learning
ⓘ
large-scale data analysis ⓘ optimization ⓘ probabilistic modeling ⓘ |
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: Perceiving Systems Department Description of subject: The Perceiving Systems Department is a research group at the Max Planck Institute for Intelligent Systems that focuses on computational models of perception, including computer vision, machine learning, and the analysis of human and animal motion.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.