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Zhekun Luo

2 accepted papers

2022

Disentangled Action Recognition with Knowledge Bases

NAACL 2022long

Action in video usually involves the interaction of human with objects. Action labels are typically composed of various combinations of verbs and nouns, but we may not have training data for all possible combinations. In this paper, we aim to improve the generalization ability of the compositional a…

2020

Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning

ECCV 2020poster

Weakly-supervised action localization requires training a model to localize the action segments in the video given only video level action label. It can be solved under the Multiple Instance Learning (MIL) framework, where a bag (video) contains multiple instances (action segments). Since only the b…