SeongHo Choi — accepted AI-conference papers

2022

Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval

Minjoon Jung, SeongHo Choi, JooChan Kim, Jin-Hwa Kim, Byoung-Tak Zhang

EMNLP 2022main

Video corpus moment retrieval (VCMR) is the task to retrieve the most relevant video moment from a large video corpus using a natural language query.For narrative videos, e.g., drama or movies, the holistic understanding of temporal dynamics and multimodal reasoning are crucial.Previous works have s…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗

2021

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA

Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee +1

AAAI 2021technical

Despite recent progress on computer vision and natural language processing, developing a machine that can understand video story is still hard to achieve due to the intrinsic difficulty of video story. Moreover, researches on how to evaluate the degree of video understanding based on human cognitive…

Cited by 67 Source ↗PDF ↗code ↗Scholar ↗