Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Maneesh Agrawala | Stanford HAI

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
peopleFaculty

Maneesh Agrawala

Forest Baskett Professor of Computer Science, and, by courtesy, of Electrical Engineering, Stanford University

Maneesh Agrawala is the Forest Baskett Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He was previously a Professor of Electrical Engineering and Computer Science at the University of California, Berkeley (2005 - 2015). He works on computer graphics, human computer interaction and visualization. His focus is on investigating how cognitive design principles can be used to improve the effectiveness of audio/visual media. The goals of this work are to discover the design principles and then instantiate them in both interactive and automated design tools. He received an Okawa Foundation Research Grant in 2006, an Alfred P. Sloan Foundation Fellowship and an NSF CAREER Award in 2007, a SIGGRAPH Significant New Researcher Award in 2008, and a MacArthur Foundation Fellowship in 2009.

Share
Link copied to clipboard!

Latest Related to Maneesh Agrawala

Research
Your browser does not support the video tag.

Analysis of Faces in a Decade of US Cable TV News

James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
Dec 29

Analysis of Faces in a Decade of US Cable TV News

Research
Your browser does not support the video tag.

AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning

Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
Dec 27

AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning

Research
Your browser does not support the video tag.

Iterative Text-based Editing of Talking-heads Using Neural Retargeting

Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
Dec 16

Iterative Text-based Editing of Talking-heads Using Neural Retargeting

All Related

Evaluating Facial Recognition Technology: A Protocol for Performance Assessment in New Domains
Daniel E. Ho, Emily Black, Maneesh Agrawala, Fei-Fei Li
Deep DiveNov 01, 2021
whitepaper

Facial recognition technology (FRT), namely the set of computer vision techniques to identify individuals from images, has proliferated throughout society. Individuals use FRT to unlock smartphones, computer appliances, and cars.3 Retailers use FRT to monitor stores for shoplifters and perform more targeted advertising.Banks use FRT as an identification mechanism at ATMs. Airports and airlines use FRT to identify travelers.

Evaluating Facial Recognition Technology: A Protocol for Performance Assessment in New Domains

Daniel E. Ho, Emily Black, Maneesh Agrawala, Fei-Fei Li
Deep DiveNov 01, 2021

Facial recognition technology (FRT), namely the set of computer vision techniques to identify individuals from images, has proliferated throughout society. Individuals use FRT to unlock smartphones, computer appliances, and cars.3 Retailers use FRT to monitor stores for shoplifters and perform more targeted advertising.Banks use FRT as an identification mechanism at ATMs. Airports and airlines use FRT to identify travelers.

whitepaper
Answering Questions about Charts and Generating Visual Explanations
Dae Hyun Kim, Enamul Hoque, Maneesh Agrawala
Dec 31, 2020
Research
Your browser does not support the video tag.

Answering Questions about Charts and Generating Visual Explanations

Answering Questions about Charts and Generating Visual Explanations

Dae Hyun Kim, Enamul Hoque, Maneesh Agrawala
Dec 31, 2020

Answering Questions about Charts and Generating Visual Explanations

Your browser does not support the video tag.
Research
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches
Shruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala
Dec 20, 2020
Research
Your browser does not support the video tag.

Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches

Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches

Shruti Agarwal, Hany Farid, Ohad Fried, Maneesh Agrawala
Dec 20, 2020

Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches

Your browser does not support the video tag.
Research
Vid2Player: Controllable Video Sprites that Behave and Appear Like Professional Tennis Players
Haitian Zhang, Cristobal Sciutto, Maneesh Agrawala
Nov 22, 2020
Research
Your browser does not support the video tag.

Vid2Player: Controllable Video Sprites that Behave and Appear Like Professional Tennis Players

Vid2Player: Controllable Video Sprites that Behave and Appear Like Professional Tennis Players

Haitian Zhang, Cristobal Sciutto, Maneesh Agrawala
Nov 22, 2020

Vid2Player: Controllable Video Sprites that Behave and Appear Like Professional Tennis Players

Your browser does not support the video tag.
Research
Domain Shift and Emerging Questions in Facial Recognition Technology
Daniel E. Ho, Emily Black, Maneesh Agrawala, Fei-Fei Li
Quick ReadNov 01, 2020
policy brief

Improving AI Software for Healthcare Diagnostics Facial recognition technologies have grown in sophistication and adoption throughout American society. Significant anxieties around the technology have emerged—including privacy concerns, worries about surveillance in both public and private settings, and the perpetuation of racial bias.

Domain Shift and Emerging Questions in Facial Recognition Technology

Daniel E. Ho, Emily Black, Maneesh Agrawala, Fei-Fei Li
Quick ReadNov 01, 2020

Improving AI Software for Healthcare Diagnostics Facial recognition technologies have grown in sophistication and adoption throughout American society. Significant anxieties around the technology have emerged—including privacy concerns, worries about surveillance in both public and private settings, and the perpetuation of racial bias.

Healthcare
policy brief