On October 8, The Brown Institute at Stanford welcomed Wired magazine Editor-in-Chief Nicholas Thompson who joined Stanford Brown Director, Maneesh Agrawala, for an in-depth conversation about the state of the
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Stanford Welcomes Neil Chase, CEO of CalMatters.org
How to Create a Culture of Innovation – especially in a legacy media company? That was the question Neil Chase, CEO of the nonprofit news site CalMatters.org, addressed at Stanford
Video Event Specification using Programmatic Composition
Authors Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian Abstract Many real-world video analysis applications require the
Frameworks for Predicting the Next Big Trends in Tech
Industry-shifting opportunities come along about every five-to-ten years. In this Sept. 24th conversation at Stanford, Ceci Stallsmith, Slack’s Director of Platform Marketing, outlined her methodology for detecting platform
Announcing Fall Programming Lineup at Columbia
We’re excited to announce our Fall programming lineup at the Brown Institute at Columbia! We have a diverse set of journalists, designers, and technology experts coming to our space to
Announcing the 2019 Brown Institute Showcase
Mark Hansen and Maneesh Agrawala cordially invite you to the Brown Institute for Media Innovation 2019 Showcase! Join us for a reception and exhibition of our 2018-2019 projects. October 17,
Text-based Editing of Talking-head Video
Authors O. Fried, A. Tewari, M. Zollhöfer, A. Finkelstein, E. Shechtman, D. B Goldman, K. Genova, Z. Jin, C. Theobalt and M. Agrawala Image: We propose a novel text-based editing
Puppet Dubbing
Given an audio file and a puppet video, we produce a dubbed result in which the puppet is saying the new audio phrase with proper mouth articulation. Specifically, each syllable
Information Maximizing Visual Question Generation
Example questions generated for a set of images and answer categories. Incorrect questions are shown in grey and occur when no relevant question van be generated for a given image