LGM3A@MM

Publications

2023

Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
Multimodal Data Augmentation for Image Captioning using Diffusion Models. LGM3A@MM (2023)
Federico Rossetto, Jeffrey Dalton, Roderick Murray-Smith
Generating Multimodal Augmentations with LLMs from Song Metadata for Music Information Retrieval. LGM3A@MM (2023)
Qian Yong, Jueqi Wei, YiRen Zhang, XiLun Zhang, Chao Wei, Simiao Chen, Yunhe Li, Cheng Ye, Bing Huang, Hao Wang
CGSMP: Controllable Generative Summarization via Multimodal Prompt. LGM3A@MM (2023)
Jing Huang, Tianyi Zhang, Wei Shi
SAT: Self-Attention Control for Diffusion Models Training. LGM3A@MM (2023)
Qianqian Chen, Tianyi Zhang, Maowen Nie, Zheng Wang, Shihao Xu, Wei Shi, Zhao Cao
Fashion-GPT: Integrating LLMs with Fashion Retrieval System. LGM3A@MM (2023)
Mingliang Liang, Martha A. Larson
Subsampling of Frequent Words in Text for Pre-training a Vision-Language Model. LGM3A@MM (2023)
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, LGM3A 2023, Ottawa ON, Canada, 2 November 2023 LGM3A@MM (2023)
Boyang Li
Unlocking Multimedia Capabilities of Gigantic Pretrained Language Models. LGM3A@MM (2023)
Ziwei Liu
Multi-Modal Generative AI with Foundation Models. LGM3A@MM (2023)
Mike Zheng Shou
Large Generative Models Meet Multimodal Video Intelligence. LGM3A@MM (2023)
Tasnim Mohiuddin, Tianyi Zhang, Maowen Nie, Jing Huang, Qianqian Chen, Wei Shi
ImEW: A Framework for Editing Image in the Wild. LGM3A@MM (2023)
Zheng Wang, Fei Li, Cheng Long
NeurSEG: A Segment Driven Deep Neural Model for Nested Named Entity Recognition. LGM3A@MM (2023)