1 code implementation • 29 Jan 2022 • Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan Plummer, Kate Saenko
In order for humans to confidently decide where to employ RL agents for real-world tasks, a human developer must validate that the agent will perform well at test-time.
no code implementations • NeurIPS 2021 • Reuben Tan, Bryan Plummer, Kate Saenko, Hailin Jin, Bryan Russell
Key to our approach is the ability to learn to spatially localize interactions with self-supervision on a large corpus of videos with accompanying transcribed narrations.
1 code implementation • ICCV 2021 • Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan Plummer
This enables our model to identify that two images contain the same attribute, but can have it deemed irrelevant (e. g., due to fine-grained differences between them) and ignored for measuring similarity between the two images.
no code implementations • 1 Nov 2016 • Tatiana Tommasi, Arun Mallya, Bryan Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
This paper presents an approach for answering fill-in-the-blank multiple choice questions from the Visual Madlibs dataset.
no code implementations • 11 Aug 2016 • Tatiana Tommasi, Arun Mallya, Bryan Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
This paper focuses on answering fill-in-the-blank style multiple choice questions from the Visual Madlibs dataset.