NEWS
Free Institutional Consultancy Services
New Feature: Compare Your Institution with the Previous Year
Find a Professional: Explore Experts Across 197 Disciplines in 220 Countries!
Find a Professional
Print Your Certificate
New! Young University / Institution Rankings 2025
New! Art & Humanities Rankings 2025
New! Social Sciences and Humanities Rankings 2025
Highly Cited Researchers 2025
AD
Scientific Index 2025
Scientist Rankings
University Rankings
Subject Rankings
Country Rankings
login
Login
person_add
Register
insights
H-Index Rankings
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
subject
University Subject Rankings
school
Young Universities
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
format_quote
Compare & Choose
local_fire_department
Country Reports
person
Find a Professional
Kenneth Marino
Carnegie Mellon University - Pittsburgh / United States
Engineering & Technology / Computer Science
AD Scientific Index ID: 883825
Registration, Add Profile,
Premium Membership
Print Your Certificate
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Subject Leaders
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
Kenneth Marino's MOST POPULAR ARTICLES
1-)
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeK Marino, M Rastegari, A Farhadi, R MottaghiProceedings of the IEEE Conference on Computer Vision and Pattern …, 20193852019
2-)
The more you know: Using knowledge graphs for image classificationK Marino, R Salakhutdinov, A GuptaCVPR 2017, 20164172016
3-)
The pose knows: Video forecasting by generating pose futuresJ Walker, K Marino, A Gupta, M HebertProceedings of the IEEE international conference on computer vision, 3332-3341, 20174152017
4-)
A-okvqa: A benchmark for visual question answering using world knowledgeD Schwenk, A Khandelwal, C Clark, K Marino, R MottaghiEuropean conference on computer vision, 146-162, 20223912022
5-)
Krisp: Integrating implicit and symbolic knowledge for open-domain knowledge-based vqaK Marino, X Chen, D Parikh, A Gupta, M RohrbachProceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 20212322021
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept