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Ke Mei

  1. Instance Adaptive Self-Training for Unsupervised Domain Adaptation
    2020/08/27 by Ke Mei, Chuang Zhu, Mei, Ke +5 · 7 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  2. Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
    2020/06/29 by Chuang Zhu, Zhu, Chuang, Ke Mei +11 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  3. Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
    2023/02/14 by Chuang Zhu, Zhu, Chuang, Kebin Liu +9 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification #Multimodal Machine Learning Applications
  4. HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization
    2025/03/03 by Zitang Zhou, Zhou, Zitang, Ke Mei +7 · 2 citations
    Arts and Humanities · Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Diverse Musicological Studies #FOS: Computer and information sciences #Music Technology and Sound Studies #Music and Audio Processing
  5. WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM
    2025/09/26 by Changli Tang, Qiyan Xiao, Tang, Changli +9 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Sound (cs.SD) #Topic Modeling