2 citations · 3 across the 7 of their papers we have counts for
7 papers
MLLM as Video Narrator: Mitigating Modality Imbalance in Video Moment Retrieval
Weitong Cai, Jiabo Huang, Shaogang Gong +2
Video Moment Retrieval (VMR) aims to localize a specific temporal segment within an untrimmed long video given a natural language query. Existing methods often suffer from inadequa…
Hybrid-Learning Video Moment Retrieval across Multi-Domain Labels
Weitong Cai, Jiabo Huang, Shaogang Gong
Video moment retrieval (VMR) is to search for a visual temporal moment in an untrimmed raw video by a given text query description (sentence). Existing studies either start from co…
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing
Yifeng He, Jiabo Huang, Yuyang Rong +3
The remarkable capability of large language models (LLMs) in generating high-quality code has drawn increasing attention in the software testing community. However, existing code L…
Code Representation Pre-training with Complements from Program Executions
Jiabo Huang, Jianyu Zhao, Yuyang Rong +3
Large language models (LLMs) for natural language processing have been grafted onto programming language modeling for advancing code intelligence. Although it can be represented in…
Zero-Shot Video Moment Retrieval from Frozen Vision-Language Models
Dezhao Luo, Jiabo Huang, Shaogang Gong +2
Accurate video moment retrieval (VMR) requires universal visual-textual correlations that can handle unknown vocabulary and unseen scenes. However, the learned correlations are lik…
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training
Dezhao Luo, Jiabo Huang, Shaogang Gong +2
The correlation between the vision and text is essential for video moment retrieval (VMR), however, existing methods heavily rely on separate pre-training feature extractors for vi…