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检索条件"机构=Tianjin Key Lab Cognitive Computing and Application"
403 条 记 录,以下是1-10 订阅
排序:
OCLNet: Obfuscation feature Contrastive Learning Network for Weakly Supervised Semantic Segmentation on Ultrasound Images
OCLNet: Obfuscation feature Contrastive Learning Network for...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Gao, Jie Zhang, Xianzhi Zhang, Zijian Li, Xuewei Yu, Mei Yu, Ruiguo Liu, Zhiqiang College of Intelligence and Computing Tianjin University Tianjin300350 China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin300350 China Tianjin Key Laboratory of Advanced Networking Tianjin300350 China
Deep learning-based semantic segmentation technology has become a critical tool in assisting doctors with automatic lesion segmentation in medical images. However, the high cost of acquiring large-scale, pixel-level a... 详细信息
来源: 评论
Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement
Time-Graph Frequency Representation with Singular Value Deco...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Wang, Tingting Wang, Tianrui Ge, Meng Zhang, Qiquan Ge, Zirui Yang, Zhen Nanjing University of Posts and Telecommunications Nanjing China Tianjin Key Laboratory of Cognitive Computing and Application College of Intelligence and Computing Tianjin University Tianjin China The University of New South Wales Sydney Australia
Time-frequency (T-F) domain methods for monaural speech enhancement have benefited from the success of deep learning. Recently, focus has been put on designing two-stream network models to predict amplitude mask and p... 详细信息
来源: 评论
Class Semantic Prompts Enhanced Prototypical Fusion Method for Few-shot Named Entity Recognition
Class Semantic Prompts Enhanced Prototypical Fusion Method f...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Yu, Mei Tao, Yuang Zhao, Mankun Xu, Tianyi Meng, Zechen Zhang, Wenbin Yu, Jian School of Future Technology Tianjin University Tianjin300350 China College of Intelligence and Computing Tianjin University Tianjin300350 China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin300350 China Tianjin Key Laboratory of Advanced Networking Tianjin300350 China Information and Network Center Tianjin University Tianjin300350 China
Few-shot named entity recognition is to identify named entities in scenarios where labeled data is scarce. Existing prototype building methods ignore the use of class semantic and it is difficult to obtain accurate pr... 详细信息
来源: 评论
A Prompt Learning Framework with Large Language Model Augmentation for Few-shot Multi-label Intent Detection
A Prompt Learning Framework with Large Language Model Augmen...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Zhuang, Ning Wei, Xiao Li, Junlei Wang, Xiaobao Wang, Chenyang Wang, Longbiao Dang, Jianwu Tianjin Key Laboratory of Cognitive Computing and Application College of Intelligence and Computing Tianjin University Tianjin China Shenzhen China Co. Ltd. Tianjin China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China
Intent detection (ID) is essential in spoken language understanding, especially in multi-label settings where intent labels are interdependent and diverse. Existing methods like SE-MLP and QA-FT struggle in few-shot s... 详细信息
来源: 评论
Multi-Stage Confidence-Guided Diffusion and Emotional Bidirectional Mamba for Robust Speech Emotion Recognition
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IEEE Signal Processing Letters 2025年 32卷 2184-2188页
作者: Liu, Yang Chen, Xin Li, Yongwei Wang, Longbiao Zhao, Zhen Qingdao University of Science and Technology School of Information Science and Technology Qingdao266061 China Chinese Academy of Sciences CAS Key Laboratory of Behavioral Science Institute of Psychology Beijing100089 China Tianjin University Tianjin Key Laboratory of Cognitive Computing and Application College of Intelligence and Computing Tianjin300072 China
Speech Emotion Recognition (SER) in noisy environments is challenging due to the overlap between emotional and noise-related signals. We propose a novel emotion-diffusion approach to enhance SER performance in noisy c... 详细信息
来源: 评论
Augmenting Short Enrollment Speech via Synthesis for Target Speaker Extraction
Augmenting Short Enrollment Speech via Synthesis for Target ...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Huang, Zikang Lin, Jingru Ge, Meng Jiang, Yu Wang, Xiaobao Wang, Longbiao Dang, Jianwu Tianjin Key Laboratory of Cognitive Computing and Application College of Intelligence and Computing Tianjin University Tianjin China Shenzhen China Department of Electrical and Computer and Engineering National University of Singapore Singapore Co. Ltd. Tianjin China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China
A high-quality enrollment speech is crucial to target speaker extraction (TSE), since it provides essential cues for identifying the target speaker in the mixture. However, real applications usually only permit a shor... 详细信息
来源: 评论
TM2SP: A Transformer-based Multi-Level Spatiotemporal Feature Pyramid Network for Video Saliency Prediction
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Li, Chenming Liu, Shiguang Tianjin University School of Computer Science and Technology College of Intelligence and Computing Tianjin300350 China Tianjin University Tianjin Key Laboratory of Cognitive Computing and Application Tianjin300350 China
This paper proposes an end-to-end video saliency prediction network model, termed TM2SP-Net (Transformer-based Multi-level Spatiotemporal Feature Pyramid Network). Leveraging the strong encoding learning capability of... 详细信息
来源: 评论
Co-training with Progressive Distribution Alignment and Uncertainty-Interactive Relabeling for Semi-Supervised Domain Adaptive Semantic Segmentation
Co-training with Progressive Distribution Alignment and Unce...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Ruiguo Yu Yida Wang Xuewei Li Xuzhou Fu Zijian Zhang Yuan Tian Jie Gao College of Intelligence and Computing Tianjin University China Tianjin Key Laboratory of Cognitive Computing and Application China Tianjin Key Laboratory of Advanced Networking China
Self-training is a strong baseline for semi-supervised domain adaptive semantic segmentation. However, it inevitably introduces biased links between features and concepts in the prediction of certain "hard pixels... 详细信息
来源: 评论
A Novel Network for Short-Term Wind Speed Prediction: Mitigating Distribution Shift and Feature Loss
A Novel Network for Short-Term Wind Speed Prediction: Mitiga...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Mei Yu Shengkang Dong Xuewei Li Zewen Shang Yingzhou Sun Zhiqiang Liu College of Intelligence and Computing Tianjin University Tianjin China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China Tianjin Key Laboratory of Advanced Networking Tianjin China
Accurate wind speed forecasting is essential for mitigating the challenges of wind power grid integration. However, existing wind speed prediction models overlook the distributional shift problem within wind speed ser... 详细信息
来源: 评论
OCLNet: Obfuscation feature Contrastive Learning Network for Weakly Supervised Semantic Segmentation on Ultrasound Images
OCLNet: Obfuscation feature Contrastive Learning Network for...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Jie Gao Xianzhi Zhang Zijian Zhang Xuewei Li Mei Yu Ruiguo Yu Zhiqiang Liu College of Intelligence and Computing Tianjin University Tianjin China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China Tianjin Key Laboratory of Advanced Networking Tianjin China
Deep learning-based semantic segmentation technology has become a critical tool in assisting doctors with automatic lesion segmentation in medical images. However, the high cost of acquiring large-scale, pixel-level a... 详细信息
来源: 评论