352 citations · 690 across the 42 of their papers we have counts for
9 papers · 1 filter
Convolutional Prompting for Broad-Domain Retinal Vessel Segmentation
Qijie Wei, Weihong Yu, Xirong Li
Previous research on retinal vessel segmentation is targeted at a specific image domain, mostly color fundus photography (CFP). In this paper we make a brave attempt to attack a mo…
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
Yuhan Fu, Ruobing Xie, Xingwu Sun +2
Multimodal Large Language Models (MLLMs) are known to hallucinate, which limits their practical applications. Recent works have attempted to apply Direct Preference Optimization (D…
Beyond Coarse-Grained Matching in Video-Text Retrieval
Aozhu Chen, Hazel Doughty, Xirong Li +1
Video-text retrieval has seen significant advancements, yet the ability of models to discern subtle differences in captions still requires verification. In this paper, we introduce…
Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions
Yuhan Fu, Ruobing Xie, Jiazhen Liu +4
Hallucinations in multimodal large language models (MLLMs) hinder their practical applications. To address this, we propose a Magnifier Prompt (MagPrompt), a simple yet effective m…
Music Grounding by Short Video
Zijie Xin, Minquan Wang, Jingyu Liu +4
Adding proper background music helps complete a short video to be shared. Previous work tackles the task by video-to-music retrieval (V2MR), aiming to find the most suitable music…
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
Jingyu Liu, Minquan Wang, Ye Ma +5
Videos showcasing specific products are increasingly important for E-commerce. Key moments naturally exist as the first appearance of a specific product, presentation of its distin…
ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval
Ruixiang Zhao, Jian Jia, Yan Li +5
E-commerce is increasingly multimedia-enriched, with products exhibited in a broad-domain manner as images, short videos, or live stream promotions. A unified and vectorized cross-…
PhD: A ChatGPT-Prompted Visual hallucination Evaluation Dataset
Jiazhen Liu, Yuhan Fu, Ruobing Xie +5
Multimodal Large Language Models (MLLMs) hallucinate, resulting in an emerging topic of visual hallucination evaluation (VHE). This paper contributes a ChatGPT-Prompted visual hall…
CLIPRerank: An Extremely Simple Method for Improving Ad-hoc Video Search
Aozhu Chen, Fangming Zhou, Ziyuan Wang +1
Ad-hoc Video Search (AVS) enables users to search for unlabeled video content using on-the-fly textual queries. Current deep learning-based models for AVS are trained to optimize h…