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检索条件"机构=Center for Visual Computing and Computer Science"
345 条 记 录,以下是141-150 订阅
Fast Peer Adaptation with Context-aware Exploration
arXiv
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arXiv 2024年
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
BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images
TechRxiv
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TechRxiv 2022年
作者: Li, Jiabao Li, Yuqi Wang, Chong Ye, Xulun Heidrich, Wolfgang The Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315600 China Zhejiang Engineering Research Center of Advanced Mass Spectrometry and Clinical Application China The Visual Computing Center King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia
Hyperspectral images (HSIs) provide rich spectral information that has been widely used in numerous computer vision tasks. However, their low spatial resolution often prevents their use in applications such as image s... 详细信息
来源: 评论
∂H: Differentiable Holography
Research Square
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Research Square 2023年
作者: Chen, Ni Wang, Congli Heidrich, Wolfgang Wyant College of Optical Sciences University of Arizona TucsonAZ85721 United States Department of Electrical Engineering & Computer Sciences University of California BerkeleyCA94720 United States Visual Computing Center King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia
Over the past decade, the field of holography has gained significant ground due to advances in computational imaging. However, the utilization of computational tools is hampered by the mismatch between experimental se... 详细信息
来源: 评论
Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling
arXiv
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arXiv 2022年
作者: Wang, Rui Wu, Zuxuan Chen, Dongdong Chen, Yinpeng Dai, Xiyang Liu, Mengchen Zhou, Luowei Yuan, Lu Jiang, Yu-Gang Shanghai Key Lab of Intelligent Info. Processing School of Computer Science Fudan University China Shanghai Collaborative Innovation Center on Intelligent Visual Computing China Microsoft Cloud&AI China
Transformer-based models have achieved top performance on major video recognition benchmarks. Benefiting from the self-attention mechanism, these models show stronger ability of modeling long-range dependencies compar... 详细信息
来源: 评论
Slimmable transformer with hybrid axial-attention for medical image segmentation
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computers in Biology and Medicine 2024年 173卷 108370-108370页
作者: Hu, Yiyue Mu, Nan Liu, Lei Zhang, Lei Jiang, Jingfeng Li, Xiaoning College of Computer Science Sichuan Normal University Chengdu610101 China School of Science and Engineering The Chinese University of Hong Kong Shenzhen Shenzhen518172 China Department of Biomedical Engineering Michigan Technological University HoughtonMI49931 United States Visual Computing and Virtual Reality Key Laboratory of Sichuan Sichuan Normal University Chengdu610068 China Education Big Data Collaborative Innovation Center of Sichuan 2011 Chengdu610101 China
The transformer architecture has achieved remarkable success in medical image analysis owing to its powerful capability for capturing long-range dependencies. However, due to the lack of intrinsic inductive bias in mo... 详细信息
来源: 评论
Towards Robust Polyp Segmentation: Multi-Focus Attention Network with Fine-grained Polyp Cues  25
Towards Robust Polyp Segmentation: Multi-Focus Attention Net...
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Proceedings of the 2025 International Conference on Multimedia Retrieval
作者: Nan Mu Xianchao Zhang Yazhou Feng Xiaoning Li Jingfeng Jiang Lei Liu College of Computer Science Sichuan Normal University Chengdu China Visual Computing and Virtual Reality Key Laboratory of Sichuan Sichuan Normal University Chengdu China Education Big Data Collaborative Innovation Center of Sichuan 2011 Sichuan Normal University Chengdu China Biomedical Engineering Department Michigan Technological University Houghton USA Ant Group Hangzhou China
Colorectal cancer (CRC) is one of the prominent causes of cancer-related morbidity and mortality worldwide. More AI-assisted methods are conducted for early polyp detection and segmentation to improve the screening ef... 详细信息
来源: 评论
Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
arXiv
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arXiv 2024年
作者: Wu, Lintai Cheng, Xianjing Xu, Yong Zeng, Huanqiang Hou, Junhui Bio-Computing Research Center Harbin Institute of Technology Shenzhen Guangdong Shenzhen518055 China Department of Computer Science City University of Hong Kong Hong Kong School of Computer Science and Technology Harbin Institute of Technology Shenzhen Guangdong Shenzhen518055 China Shenzhen Key Laboratory of Visual Object Detection and Recognition Guangdong Shenzhen518055 China School of Engineering Huaqiao University Quanzhou362021 China School of Information Science and Engineering Huaqiao University Xiamen361021 China
In real-world scenarios, scanned point clouds are often incomplete due to occlusion issues. The tasks of self-supervised and weakly-supervised point cloud completion involve reconstructing missing regions of these inc... 详细信息
来源: 评论
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
arXiv
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arXiv 2022年
作者: Huang, Bingchen Chen, Zhineng Zhou, Peng Chen, Jiayin Wu, Zuxuan Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University China Shanghai Collaborative Innovation Center on Intelligent Visual Computing China University of Maryland College ParkMD United States
The dynamic expansion architecture is becoming popular in class incremental learning, mainly due to its advantages in alleviating catastrophic forgetting. However, task confusion is not well assessed within this frame... 详细信息
来源: 评论
AN EMPIRICAL ANALYSIS OF UNCERTAINTY IN LARGE LANGUAGE MODEL EVALUATIONS
arXiv
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arXiv 2025年
作者: Xie, Qiujie Li, Qingqiu Yu, Zhuohao Zhang, Yuejie Zhang, Yue Yang, Linyi Zhejiang University China School of Engineering Westlake University China School of Computer Science Shanghai Key Lab of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University China Peking University China Westlake Institute for Advanced Study China University College London United Kingdom Huawei Noah’s Ark Lab Hong Kong
As LLM-as-a-Judge emerges as a new paradigm for assessing large language models (LLMs), concerns have been raised regarding the alignment, bias, and stability of LLM evaluators. While substantial work has focused on a... 详细信息
来源: 评论
SIMULATING HUMAN-LIKE DAILY ACTIVITIES WITH DESIRE-DRIVEN AUTONOMY
arXiv
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arXiv 2024年
作者: Wang, Yiding Chen, Yuxuan Zhong, Fangwei Ma, Long Wang, Yizhou Institute for Artificial Intelligence Peking University China The University of Hong Kong Hong Kong School of Artificial Intelligence Beijing Normal University China Academy for Advanced Interdisciplinary Studies Peking University China State Key Laboratory of General Artificial Intelligence BIGAI China Center on Frontiers of Computing Studies School of Computer Science Nat’l Eng. Research Center of Visual Technology Peking University China
Desires motivate humans to interact autonomously with the complex world. In contrast, current AI agents require explicit task specifications, such as instructions or reward functions, which constrain their autonomy an... 详细信息
来源: 评论