|
gptkbp:instanceOf
|
Person
|
|
gptkbp:academicAdvisor
|
Professor
|
|
gptkbp:affiliation
|
gptkb:University_of_Southern_California
|
|
gptkbp:almaMater
|
gptkb:University_of_California,_Berkeley
|
|
gptkbp:author
|
gptkb:David_Forsyth
|
|
gptkbp:awards
|
IEEE Fellow
|
|
gptkbp:birthYear
|
1950
|
|
gptkbp:class
|
Artificial Intelligence
|
|
gptkbp:collaborations
|
Industry partners
Fei-Fei Li
|
|
gptkbp:community
|
Vision_Group
|
|
gptkbp:communityEngagement
|
Outreach programs in AI education
|
|
gptkbp:communityPartnerships
|
Tech companies
|
|
gptkbp:communityService
|
AI research community
|
|
gptkbp:conference
|
ICCV
CVPR
|
|
gptkbp:contributedTo
|
Advancements in visual recognition systems
|
|
gptkbp:contribution
|
Development of algorithms for image processing
|
|
gptkbp:editor
|
gptkb:Journal_of_Computer_Vision
|
|
gptkbp:faculty
|
gptkb:Association_for_the_Advancement_of_Artificial_Intelligence
|
|
gptkbp:field
|
Artificial Intelligence
|
|
gptkbp:financialPerformance
|
AI and robotics
Distinguished researcher
|
|
gptkbp:historical_analysis
|
Citations in AI literature
|
|
gptkbp:historicalResearch
|
Cross-disciplinary projects
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Mike M. Dyer
|
|
gptkbp:impact
|
Technology development
|
|
gptkbp:influence
|
Computer vision community
|
|
gptkbp:influencedBy
|
gptkb:Marvin_Minsky
|
|
gptkbp:investmentFocus
|
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
|
gptkbp:involved
|
AI ethics
|
|
gptkbp:keyFigures
|
Object detection
|
|
gptkbp:knownFor
|
Research in computer vision
|
|
gptkbp:mentor
|
Young researchers in AI
|
|
gptkbp:nationality
|
American
|
|
gptkbp:notableFeature
|
gptkb:International_Conference_on_Computer_Vision
|
|
gptkbp:patentCitation
|
Image recognition technology
|
|
gptkbp:patentDescription
|
A Study of Computer Vision
|
|
gptkbp:profession
|
Computer_Scientist
|
|
gptkbp:project
|
gptkb:Autonomous_Vehicles
|
|
gptkbp:publicSpeaking
|
AI conferences
|
|
gptkbp:publishes
|
Computer Vision: A Modern Approach
|
|
gptkbp:releaseYear
|
1999
|
|
gptkbp:research
|
gptkb:National_Science_Foundation
|
|
gptkbp:researchAreas
|
Machine Learning
|
|
gptkbp:researchContribution
|
Image segmentation techniques
Pioneering work in computer vision.
|
|
gptkbp:researchFocus
|
Visual perception
|
|
gptkbp:researchInterest
|
gptkb:Journal_of_Machine_Learning_Research
Deep Learning
Neural Networks
International researchers
Responsible AI practices
Global AI initiatives
Federal funding for AI research
New algorithms for image analysis
|
|
gptkbp:scholarships
|
AI education
|
|
gptkbp:supportRole
|
AI policy development
|
|
gptkbp:taught
|
Computer_Vision_courses
|
|
gptkbp:technology
|
AI applications in industry
|
|
gptkbp:training
|
PhD students
|
|
gptkbp:workshops
|
Machine_Learning_for_Vision
|