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20242026
most citedPrior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval

19 citations · 28 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.AI2024★ 1 cited

Knowledge Pyramid Construction for Multi-Level Retrieval-Augmented Generation

Rubing Chen, Xulu Zhang, Jiaxin Wu +3

This paper addresses the need for improved precision in existing knowledge-enhanced question-answering frameworks, specifically Retrieval-Augmented Generation (RAG) methods that pr…

cs.CV2024

Mean of Means: A 10-dollar Solution for Human Localization with Calibration-free and Unconstrained Camera Settings

Tianyi Zhang, Wengyu Zhang, Xulu Zhang +4

Accurate human localization is crucial for various applications, especially in the Metaverse era. Existing high precision solutions rely on expensive, tag-dependent hardware, while…

cs.CV2024★ 19 cited

Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval

Yiyang Jiang, Wengyu Zhang, Xulu Zhang +3

In this paper, we investigate the feasibility of leveraging large language models (LLMs) for integrating general knowledge and incorporating pseudo-events as priors for temporal co…

cs.CV2024★ 8 cited

A Survey on Personalized Content Synthesis with Diffusion Models

Xulu Zhang, Xiaoyong Wei, Wentao Hu +6

Recent advancements in diffusion models have significantly impacted content creation, leading to the emergence of Personalized Content Synthesis (PCS). By utilizing a small set of…

cs.CV2024

Generative Active Learning for Image Synthesis Personalization

Xulu Zhang, Wengyu Zhang, Xiao-Yong Wei +4

This paper presents a pilot study that explores the application of active learning, traditionally studied in the context of discriminative models, to generative models. We specific…

cs.AI2024

A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning

Changmeng Zheng, Dayong Liang, Wengyu Zhang +3

This paper presents a pilot study aimed at introducing multi-agent debate into multimodal reasoning. The study addresses two key challenges: the trivialization of opinions resultin…