Mei, Ke
- 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
- Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
2020/06/29 by Zhu, Chuang, Mei, Ke, Peng, Ting +4 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models
2025/07/30 by Wei, Zhixiang, Wang, Guangting, Ma, Xiaoxiao +4 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
2023/02/14 by Chuang Zhu, Kebin Liu, Zhu, Chuang +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
- HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization
2025/03/03 by Zitang Zhou, Ke Mei, Zhou, Zitang +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
- WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM
2025/09/26 by Changli Tang, Tang, Changli, Qiyan Xiao +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