Sumin Kim — accepted AI-conference papers

2026

TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization

Sumin Kim, Hyemin Jeong, Mingu Kang, Yejin Kim, Yoori Oh, Joonseok Lee

ICLR 2026poster

The exponential growth of video content highlights the importance of video summarization, a task that efficiently extracts key information from long videos. However, existing video summarization studies face inherent limitations in understanding complex, multimodal videos. This limitation stems from…

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2025

SummDiff: Generative Modeling of Video Summarization with Diffusion

Kwanseok Kim, Jaehoon Hahm, Sumin Kim, Jinhwan Sul, Byunghak Kim, Joonseok Lee

ICCV 2025poster

Video summarization is a task of shortening a video by choosing a subset of frames while preserving its essential moments. Despite the innate subjectivity of the task, previous works have deterministically regressed to an averaged frame score over multiple raters, ignoring the inherent subjectivity…

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