Dingxin Cheng — accepted AI-conference papers

2025

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding

Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui +3

AAAI 2025technical

Video Temporal Grounding (VTG) strives to accurately pinpoint event timestamps in a specific video using linguistic queries, significantly impacting downstream tasks like video browsing and editing. Unlike traditional task-specific models, Video Large Language Models (video LLMs) can handle multiple…

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2024

Long Term Memory-Enhanced Via Causal Reasoning for Text-To-Video Retrieval

Dingxin Cheng, Shuhan Kong, Wenyu Wang, Meixia Qu, Bin Jiang

ICASSP 2024accepted

The T2VR task aims to retrieve videos that are semantically relevant to the given query text in a large number of unlabeled videos. Most of the existing methods adopt a representation encoding strategy that can only focus on limited contextual information, and lack the ability to focus on the long m…

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