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CategoryResearch

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By : mkrisch August 10, 2021

Notes from NYCML and CHANEL’s Synthetic Media Challenge

Over the Spring semester, I participated in the NYC Media Lab’s Synthetic Media challenge, in collaboration with CHANEL. This challenge brought together teams of faculty and students from a variety

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By : mkrisch June 1, 2020November 17, 2020

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods

Authors Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré Abstract Weak supervision is a popular method for building machine learning models without relying

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By : mkrisch December 1, 2019October 7, 2020

Multi-Resolution Weak Supervision for Sequential Data

Authors Frederic Sala, Paroma Varma, Jason Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James R. Priest, Christopher Ré Abstract Since manually labeling training

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By : mkrisch October 30, 2019October 12, 2020

Scene Graph Prediction with Limited Labels

Authors Vincent Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Re, Li Fei-Fei Image: Our semi-supervised method automatically generates probabilistic relationship labels to train any scene graph model. Abstract Visual

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By : mkrisch October 30, 2019October 12, 2020

Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction

Authors Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael Bernstein, Li Fei-Fei Image: We introduce a scene graph approach that formulates predicates as learned functions, which result in an embedding space

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By : mkrisch October 22, 2019October 12, 2020

View-Dependent Video Textures for 360° Video

Authors Sean J. Liu, Maneesh Agrawala, Stephen DiVerdi, Aaron Hertzmann Image: In 360◦ video, viewers can look anywhere at any time. In the opening scene of Invasion!, a rabbit emerges

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By : mkrisch October 19, 2019November 1, 2019

AI-based Request Augmentation to Increase Crowdsourcing Participation

Authors Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael Bernstein Abstract To support the massive data requirements of modern supervised machine learning (ML) algorithms, crowdsourcing systems match volunteer contributors

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By : mkrisch October 1, 2019October 7, 2020

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

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By : mkrisch July 27, 2019October 12, 2020

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

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@browninstitute
  • US Chief Data Scientist Denice Ross and Deputy U.S. Chief Data Scientist Dominique Duval-Diop will visit @columbiajourn for a talk on "equitable data" - That's March 30 from 11-12:30ET @BrownInstitute in Pulitzer Hall on the Columbia Campus. RSVP at https://t.co/gQkf3DkAzt, Mar 23
  • We are delighted to announce the semi-finalists in the @BrownInstitute Innovation Challenge in Journalism, Media, and Technology. Good luck to all of our aspiring founders! Explore the projects here https://t.co/s4WjaCzcsN https://t.co/hsGqBn7uL4, Mar 21
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