May 6, 2022, 1:10 a.m. | He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson

cs.CV updates on arXiv.org arxiv.org

In this paper, we study the problem of procedure planning in instructional
videos. Here, an agent must produce a plausible sequence of actions that can
transform the environment from a given start to a desired goal state. When
learning procedure planning from instructional videos, most recent work
leverages intermediate visual observations as supervision, which requires
expensive annotation efforts to localize precisely all the instructional steps
in training videos. In contrast, we remove the need for expensive temporal
video annotations and …

arxiv cv planning videos

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Vice President, AI Product Manager

@ JPMorgan Chase & Co. | New York City, United States

Binance Accelerator Program - Data Engineer

@ Binance | Asia