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MinJu Jeon

LG AI Research · EXAONE Lab

AI Researcher · Multimodal & Language Models · Data-Centric Training

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#dense video captioning

Content tagged with "dense video captioning"

Follow the Saliency: Supervised Saliency for Retrieval-augmented Dense Video Captioning
CVPR 2026 Seunghee Choi, MinJu Jeon, Hyunwoo Oh, Jihwan Lee, Dong-Jin Kim 2026-06-01
#Dense Video Captioning

A retrieval-augmented dense video captioning approach that injects supervised saliency signals into both the retrieval and generation stages.

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SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning
CVPR 2026 Ye-Chan Kim, SeungJu Cha, Si-Woo Kim, MinJu Jeon, HyunGee Kim, Dong-Jin Kim 2026-06-01
#Dense Video Captioning

Tackles weakly-supervised dense video captioning through similarity-aware guidance and inter-caption augmentation.

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Sali4Vid: Saliency-Aware Video Reweighting and Adaptive Caption Retrieval for Dense Video Captioning
EMNLP 2025 (Long, Main) MinJu Jeon, Si-Woo Kim, Ye-Chan Kim, HyunGee Kim, Dong-Jin Kim 2025-11-01
#Dense Video Captioning #Data-Centric

A dense video captioning framework that reweights video frames by saliency and adaptively retrieves relevant captions at inference time.

Retrieval-Augmented Dense Video Captioning and QA System
#Dense Video Captioning #Retrieval-Augmented Generation #Video QA

End-to-end pipeline for automated highlight extraction, dense captioning, and natural-language QA over long-form (1hr+) videos. Funded by Piaspace (2025).

© 2026 MinJu Jeon.
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