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20202023
most citedmPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

168 citations · 414 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 5 cited

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model

Jiabo Ye, Anwen Hu, Haiyang Xu +11

Text is ubiquitous in our visual world, conveying crucial information, such as in documents, websites, and everyday photographs. In this work, we propose UReader, a first explorati…

cs.CV2023★ 4 cited

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

Haiyang Xu, Qinghao Ye, Xuan Wu +13

To promote the development of Vision-Language Pre-training (VLP) and multimodal Large Language Model (LLM) in the Chinese community, we firstly release the largest public Chinese h…

cs.CV2023★ 50 cited

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Haiyang Xu, Qinghao Ye, Ming Yan +12

Recent years have witnessed a big convergence of language, vision, and multi-modal pretraining. In this work, we present mPLUG-2, a new unified paradigm with modularized design for…

cs.CV2022★ 10 cited

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Qinghao Ye, Guohai Xu, Ming Yan +4

Video-language pre-training has advanced the performance of various downstream video-language tasks. However, most previous methods directly inherit or adapt typical image-language…

cs.CV2022★ 16 cited

X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval

Yiwei Ma, Guohai Xu, Xiaoshuai Sun +3

Video-text retrieval has been a crucial and fundamental task in multi-modal research. The development of video-text retrieval has been considerably promoted by large-scale multi-mo…