Papers by Xianglin Huang

2 papers
Hierarchical Context-aware Network for Dense Video Event Captioning (2021.acl-long)

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Challenge: Existing technologies for dense video event captioning generate fine-grained captions for all events in a long untrimmed video.
Approach: They propose a hierarchical context-aware network for dense video event captioning to capture context from various aspects.
Outcome: The proposed model outperforms the existing model on youcook2 and activitynet . it generates coherent captions for events in a long untrimmed video .
Scattered Hypothesis Generation for Open-Ended Event Forecasting (2026.findings-acl)

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Challenge: Existing methods for event forecasting focus on the most probable outcomes, neglecting the intrinsic uncertainty of real-world events.
Approach: They propose a reinforcement learning framework that optimizes inclusiveness and diversity of the hypothesis by integrating validity-gated score into the overall objective.
Outcome: The proposed framework outperforms baselines on two real-world benchmark datasets.

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