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ORCIDLGM3A@MM 2023: Ottawa, ON, Canada
- Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua:
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, LGM3A 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 - Mike Zheng Shou
:
Large Generative Models Meet Multimodal Video Intelligence. 1 - Boyang Li:
Unlocking Multimedia Capabilities of Gigantic Pretrained Language Models. 3-4 - Ziwei Liu:
Multi-Modal Generative AI with Foundation Models. 5 - Zheng Wang, Fei Li, Cheng Long:
NeurSEG: A Segment Driven Deep Neural Model for Nested Named Entity Recognition. 7-14 - Jing Huang, Tianyi Zhang, Wei Shi:
SAT: Self-Attention Control for Diffusion Models Training. 15-22 - Changrong Xiao, Sean Xin Xu, Kunpeng Zhang:
Multimodal Data Augmentation for Image Captioning using Diffusion Models. 23-33 - Tasnim Mohiuddin, Tianyi Zhang, Maowen Nie, Jing Huang, Qianqian Chen, Wei Shi:
ImEW: A Framework for Editing Image in the Wild. 34-44 - 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. 45-50 - Federico Rossetto, Jeffrey Dalton, Roderick Murray-Smith:
Generating Multimodal Augmentations with LLMs from Song Metadata for Music Information Retrieval. 51-59 - Mingliang Liang, Martha A. Larson:
Subsampling of Frequent Words in Text for Pre-training a Vision-Language Model. 61-67 - Qianqian Chen, Tianyi Zhang, Maowen Nie, Zheng Wang, Shihao Xu, Wei Shi, Zhao Cao:
Fashion-GPT: Integrating LLMs with Fashion Retrieval System. 69-78
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