Papers by JooChan Kim

1 papers
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval (2022.emnlp-main)

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Challenge: Existing studies have shown promising results in video corpus moment retrieval . however, they relied on the expensive query annotations for the VCMR .
Approach: They propose a self-supervised learning framework to localize video corpus moment without annotations.
Outcome: The proposed framework can localize the video corpus moment without any explicit annotation on TVR dataset.

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