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检索条件"机构=Center for Visual Computing and Computer Science"
348 条 记 录,以下是41-50 订阅
Mixture of experts for audio-visual learning  24
Mixture of experts for audio-visual learning
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Proceedings of the 38th International Conference on Neural Information Processing Systems
作者: Ying Cheng Yang Li Junjie He Rui Feng School of Computer Science Fudan University and Shanghai Key Laboratory of Intelligent Information Processing and Shanghai Collaborative Innovation Center of Intelligent Visual Computing School of Computer Science Fudan University and Shanghai Key Laboratory of Intelligent Information Processing
With the rapid development of multimedia technology, audio-visual learning has emerged as a promising research topic within the field of multimodal analysis. In this paper, we explore parameter-efficient transfer lear...
来源: 评论
Fast Peer Adaptation with Context-aware Exploration  41
Fast Peer Adaptation with Context-aware Exploration
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41st International Conference on Machine Learning, ICML 2024
作者: Ma, Long Wang, Yuanfei Zhong, Fangwei Zhu, Song-Chun Wang, Yizhou Academy for Advanced Interdisciplinary Studies Peking University China Nat'l Key Laboratory of General Artificial Intelligence BIGAI&PKU China Center on Frontiers of Computing Studies School of Computer Science Peking University China School of Intelligence Science and Technology Peking University China Inst. for Artificial Intelligence Peking University China Nat'l Eng. Research Center of Visual Technology Peking University China
Fast adapting to unknown peers (partners or opponents) with different strategies is a key challenge in multi-agent games. To do so, it is crucial for the agent to probe and identify the peer's strategy efficiently... 详细信息
来源: 评论
Unveiling Linguistic Regions in Large Language Models
arXiv
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arXiv 2024年
作者: Zhang, Zhihao Zhao, Jun Zhang, Qi Gui, Tao Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Shanghai Collaborative Innovation Center of Intelligent Visual Computing China
Large Language Models (LLMs) have demonstrated considerable cross-lingual alignment and generalization ability. Current research primarily focuses on improving LLMs' crosslingual generalization capabilities. Howev... 详细信息
来源: 评论
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
arXiv
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arXiv 2024年
作者: Ye, Junjie Li, Sixian Li, Guanyu Huang, Caishuang Gao, Songyang Wu, Yilong Zhang, Qi Gui, Tao Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Shanghai Collaborative Innovation Center of Intelligent Visual Computing China
Tool learning is widely acknowledged as a foundational approach for deploying large language models (LLMs) in real-world scenarios. While current research primarily emphasizes leveraging tools to augment LLMs, it freq... 详细信息
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MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition
arXiv
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arXiv 2023年
作者: Zheng, Tianlun Chen, Zhineng Huang, Bingchen Zhang, Wei Jiang, Yu-Gang School of Computer Science Fudan University China Shanghai Collaborative Innovation Center of Intelligent Visual Computing China Gaoding AI China
Multilingual text recognition (MLTR) systems typically focus on a fixed set of languages, which makes it difficult to handle newly added languages or adapt to ever-changing data distribution. In this paper, we propose... 详细信息
来源: 评论
MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition
MRN: Multiplexed Routing Network for Incremental Multilingua...
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International Conference on computer Vision (ICCV)
作者: Tianlun Zheng Zhineng Chen Bingchen Huang Wei Zhang Yu-Gang Jiang School of Computer Science Fudan University China Shanghai Collaborative Innovation Center of Intelligent Visual Computing China Gaoding AI China
Multilingual text recognition (MLTR) systems typically focus on a fixed set of languages, which makes it difficult to handle newly added languages or adapt to ever-changing data distribution. In this paper, we propose...
来源: 评论
CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart  24
CT2C-QA: Multimodal Question Answering over Chinese Text, Ta...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Zhao, Bowen Cheng, Tianhao Zhang, Yuejie Cheng, Ying Feng, Rui Zhang, Xiaobo Fudan University Shanghai China Children's Hospital of Fudan University Shanghai China School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Fudan University China Shanghai Collaborative Innovation Center of Intelligent Visual Computing. China Fudan Zhangjiang Institute Shanghai China Children's Hospital of Fudan University National Children's Medical Center Shanghai China
Multimodal Question Answering (MMQA) is crucial as it enables comprehensive understanding and accurate responses by integrating insights from diverse data representations such as tables, charts, and text. Most existin... 详细信息
来源: 评论
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
arXiv
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arXiv 2024年
作者: Gong, Chao Chen, Kai Wei, Zhipeng Chen, Jingjing Jiang, Yu-Gang Shanghai Key Lab of Intell. Info. Processing School of Computer Science Fudan University China Shanghai Collaborative Innovation Center on Intelligent Visual Computing China
Text-to-image models encounter safety issues, including concerns related to copyright and Not-Safe-For-Work (NSFW) content. Despite several methods have been proposed for erasing inappropriate concepts from diffusion ... 详细信息
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Dynamic Graph Neural Networks-Based Alert Link Prediction for Online Service Systems  23
Dynamic Graph Neural Networks-Based Alert Link Prediction fo...
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Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering
作者: Yiru Chen Chenxi Zhang Zhen Dong Dingyu Yang Xin Peng Jiayu Ou Hong Yang Zheshun Wu Xiaojun Qu Wei Li School of Computer Science Fudan University China and Shanghai Key Laboratory of Data Science Fudan University China and Shanghai Collaborative Innovation Center of Intelligent Visual Computing China Alibaba Group China
A fault in large online service systems often triggers numerous alerts due to the complex business and component dependencies among services, which is known as "alert storm". In a short time, an online servi... 详细信息
来源: 评论
Downstream Task-agnostic Transferable Attacks on Language-Image Pre-training Models
Downstream Task-agnostic Transferable Attacks on Language-Im...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Yiqiang Lv Jingjing Chen Zhipeng Wei Kai Chen Zuxuan Wu Yu-Gang Jiang Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai Collaborative Innovation Center of Intelligent Visual Computing
Vision-language pre-trained models (e.g., CLIP) trained on large-scale datasets via self-supervised learning, are drawing increasing research attention since they can achieve superior performances on multi-modal downs...
来源: 评论