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SouYoung Jin

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Preprint Oct 2026

Meaningful Moments: A Corpus of VLM-Derived Temporal Importance Labels for Video Action Recognition

Not every moment in a video is equally useful for recognizing an action. A few decisive moments often carry the evidence: the instant an object moves, the peak of a dive, or one object placed on another. Existing video datasets rarely provide large-scale, action-conditioned labels for which short segments carry that ev...

Cameron Keith, SouYoung Jin · 0 citations

Beyond Final Answers: CRYSTAL Benchmark for Transparent Multimodal Reasoning Evaluation

CRYSTAL is introduced, a diagnostic benchmark with 6,372 instances that evaluates multimodal reasoning through verifiable intermediate steps, and the Causal Process Reward (CPR), a multiplicative reward that couples answer correctness with step-level alignment, and CPR-Curriculum, which progressively increases reasonin...

Wayner Barrios, SouYoung Jin · 0 citations
Preprint Jul 2026

StoryTeller: Training-Free Narrative Grounding for Long-Form Audio Description

This work proposes StoryTeller, a training-free framework for story-aware long-form AD that consistently improves narrative coherence, factual grounding, and story comprehension over strong baselines in automatic, QA-based, and human evaluations.

Seung-Yeon Hahm, M. T. Dinh, SouYoung Jin · 0 citations
Jun 2026

Learning Video Dynamics with Predictive Differentiable Rendering

Inspired by recent progress in 3D reconstruction with 3D Gaussian Splatting, PredGS, a lightweight and plug-and-play adapter based on 2D Gaussian representation, which could be seamlessly integrated with existing pixel space predictors, significantly improving spatial detail preservation with negligible computational o...

Yujin Tang, Tian Zhou, Xin Lin et al. · 0 citations

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