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检索条件"机构=Key Laboratory for Computer Vision and Pattern Recognition"
590 条 记 录,以下是191-200 订阅
Isoform Function Prediction Based on Heterogeneous Graph Attention Networks
Isoform Function Prediction Based on Heterogeneous Graph Att...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Kuo Guo Yifan Li Hao Chen Hong-Bin Shen Yang Yang Department of Computer Science and Engineering Shanghai Jiao Tong University and Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Computational Biology Department School of Computer Science Carnegie Mellon University Pittsburgh PA USA
Isoforms refer to different mRNA molecules transcribed from the same gene, which can be translated into proteins with varying structures and functions. Predicting the functions of isoforms is an essential topic in bio...
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Learning referee evaluation and assessing action quality from coarse to fine in diving sport
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Neurocomputing 2025年
作者: Hong-Ming Qiu Hong-Bo Zhang Qing Lei Jing-Hua Liu Ji-Xiang Du Department of Computer Science and Technology Huaqiao University Xiamen 361021 China Fujian Key Laboratory of Big Data Intelligence and Security Huaqiao University Xiamen 361021 China Key Laboratory of Computer Vision and Machine Learning (Huaqiao University) Fujian Province University Xiamen 361021 China Xiamen Key Laboratory of Computer Vision and Pattern Recognition Huaqiao University Xiamen 361021 China
Intelligently assessing the quality of athletic performances in sports scenarios remains a fascinating challenge in computer vision. However, unraveling the subtle distinctions between two similar actions in videos an...
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Learning dynamical human-joint affinity for 3D pose estimation in videos
arXiv
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arXiv 2021年
作者: Zhang, Junhao Wang, Yali Zhou, Zhipeng Luan, Tianyu Wang, Zhe Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences University of California Irvine United States Shanghai AI Laboratory Shanghai China
Graph Convolution Network (GCN) has been successfully used for 3D human pose estimation in videos. However, it is often built on the fixed human-joint affinity, according to human skeleton. This may reduce adaptation ... 详细信息
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Spatial Reconstructed Local Attention Res2Net with F0 Subband for Fake Speech Detection
arXiv
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arXiv 2023年
作者: Fan, Cunhang Xue, Jun Tao, Jianhua Yi, Jiangyan Wang, Chenglong Zheng, Chengshi Lv, Zhao Anhui Province Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China Department of Automation Tsinghua University Beijing100190 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China Key Laboratory of Noise and Vibration Research Institute of Acoustics Chinese Academy of Sciences Beijing100190 China
The rhythm of bonafide speech is often difficult to replicate, which causes that the fundamental frequency (F0) of synthetic speech is significantly different from that of real speech. It is expected that the F0 featu... 详细信息
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Stable and Feature Decoupled of Deep Mutual Information Maximization Based on Wasserstein Distance
SSRN
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SSRN 2023年
作者: He, Xing Peng, Changgen Wang, Lin Tan, Weijie State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University PR Guiyang550025 China Guizhou Key Laboratory of Pattern Recognition and Intelligent System Guizhou Minzu University PR Guiyang550025 China Guizhou Big Data Academy Guizhou University PR Guiyang550025 China Key Laboratory of Advanced Manufacturing Technology Ministry of Education Guizhou University PR Guiyang550025 China
Deep learning techniques usually require large amounts of expensive labeled data to train networks, and the extracted deep representations are usually mixed with multiple attributes having uninterpretability, which li... 详细信息
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Synchronization of Nonlinear Neural Networks with Hybrid Couplings and Uncertain Time-Varying Perturbations: A Novel Distributed-Delay Impulsive Comparison Principle
SSRN
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SSRN 2024年
作者: Fan, Hongguang Shi, Kaibo Zhao, Yi College of Computer Chengdu University Chengdu610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province Chengdu University Chengdu610106 China School of Electronic Information and Electrical Engineering Chengdu University Chengdu610106 China School of Mathematical Sciences Shenzhen University Shenzhen518060 China
In this paper, the synchronization of nonlinear drive-response neural networks with uncertain time-varying perturbations, non-delayed coupling, and distributed delay coupling is studied. To address the impact of distr... 详细信息
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High-Resolution Natural Image Matting by Refining Low-resolution Alpha Mattes
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IEEE Transactions on Image Processing 2025年 34卷 3323-3335页
作者: Ye, Xianmin Liang, Yihui Tan, Mian Feng, Fujian Wang, Lin Huang, Han Guizhou Minzu University College of Data Science and Information Engineering Guiyang 550025 China Guizhou Minzu University Guizhou Key Laboratory of Pattern Recognition and Intelligent System Guiyang 550025 China University of Electronic Science and Technology of China School of Computer Science Zhongshan Institute Zhongshan 528400 China South China University of Technology School of Software Engineering Guangzhou 510006 China Key Laboratory of Big Data and Intelligent Robot (SCUT) MOE of China Guangzhou 510006 China Guangdong Engineering Center for Large Model and GenAI Technology Guangzhou 510006 China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun 130012 China
High-resolution natural image matting plays an important role in image editing, film-making and remote sensing due to its ability of accurately extract the foreground from a natural background. However, due to the com... 详细信息
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Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
arXiv
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arXiv 2025年
作者: Zou, Yueying Li, Peipei Li, Zekun Huang, Huaibo Cui, Xing Liu, Xuannan Zhang, Chenghanyu He, Ran School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China School of Science Beijing University of Posts and Telecommunications Beijing100876 China School of Computer Science University of California Santa Barbara United States State Key Laboratory of Multimodal Artificial Intelligence Systems CASIA New Laboratory of Pattern Recognition CASIA School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100190 China
The proliferation of AI-generated media poses significant challenges to information authenticity and social trust, making reliable detection methods highly demanded. Methods for detecting AI-generated media have evolv... 详细信息
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Zero-Shot Audio Captioning Using Soft and Hard Prompts
arXiv
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arXiv 2024年
作者: Zhang, Yiming Xu, Xuenan Du, Ruoyi Liu, Haohe Dong, Yuan Tan, Zheng-Hua Wang, Wenwu Ma, Zhanyu The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China The Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China The Department of Electronic Systems Aalborg University Aalborg9220 Denmark The Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
In traditional audio captioning methods, a model is usually trained in a fully supervised manner using a human-annotated dataset containing audio-text pairs and then evaluated on the test sets from the same dataset. S... 详细信息
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Cross Domain Object Detection by Target-Perceived Dual Branch Distillation
arXiv
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arXiv 2022年
作者: He, Mengzhe Wang, Yali Wu, Jiaxi Wang, Yiru Li, Hanqing Li, Bo Gan, Weihao Wu, Wei Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China SenseTime Research University of Chinese Academy of Science China Shanghai AI Laboratory Shanghai China Beihang University China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society China
Cross domain object detection is a realistic and challenging task in the wild. It suffers from performance degradation due to large shift of data distributions and lack of instance-level annotations in the target doma... 详细信息
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