IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment

IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment

International Conference on Intelligent User Interfaces (IUI 2023)

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Bibliographic Details
Main Authors: Matsuyama, Hitoshi, Kawaguchi, Nobuo, Lim, Youliang Brian
Other Authors: DEPARTMENT OF COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: 2023
Online Access:https://scholarbank.nus.edu.sg/handle/10635/238482
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Institution: National University of Singapore
Description
Summary:International Conference on Intelligent User Interfaces (IUI 2023)

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