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20112023
most citedTowards artificial general intelligence via a multimodal foundation model

285 citations · 966 across the 40 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023★ 1 cited

Improvable Gap Balancing for Multi-Task Learning

Yanqi Dai, Nanyi Fei, Zhiwu Lu

In multi-task learning (MTL), gradient balancing has recently attracted more research interest than loss balancing since it often leads to better performance. However, loss balanci…

cs.CV2023★ 9 cited

VDT: General-purpose Video Diffusion Transformers via Mask Modeling

Haoyu Lu, Guoxing Yang, Nanyi Fei +4

This work introduces Video Diffusion Transformer (VDT), which pioneers the use of transformers in diffusion-based video generation. It features transformer blocks with modularized…

cs.CV2023★ 21 cited

UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling

Haoyu Lu, Yuqi Huo, Guoxing Yang +4

Large-scale vision-language pre-trained models have shown promising transferability to various downstream tasks. As the size of these foundation models and the number of downstream…

cs.MM2023★ 4 cited

Text2Poster: Laying out Stylized Texts on Retrieved Images

Chuhao Jin, Hongteng Xu, Ruihua Song +1

Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience. In this paper,…

cs.CL2023★ 9 cited

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World

Hongpeng Lin, Ludan Ruan, Wenke Xia +8

To facilitate the research on intelligent and human-like chatbots with multi-modal context, we introduce a new video-based multi-modal dialogue dataset, called TikTalk. We collect…