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Son, Jeany

  1. Rank-N-Contrast: Learning Continuous Representations for Regression
    2022/10/03 by Zha, Kaiwen, Cao, Peng, Son, Jeany +2 · 21 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Zero-shot Referring Image Segmentation with Global-Local Context Features
    2023/03/31 by Seonghoon Yu, Paul Hongsuck Seo, Yu, Seonghoon +3 · 9 citations
    Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Subtitles and Audiovisual Media
  3. Real-Time MDNet
    2018/08/27 by Ilchae Jung, Jung, Ilchae, Jeany Son +5 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications
  4. Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation
    2024/07/10 by Seonghoon Yu, Paul Hongsuck Seo, Yu, Seonghoon +3 · 3 citations
    Computer Science · Neuroscience · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
  5. A Simple Baseline with Single-encoder for Referring Image Segmentation
    2024/08/28 by Seonghoon Yu, Ilchae Jung, Yu, Seonghoon +10 · 1 citation
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimedia (cs.MM)
  6. Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
    2025/02/28 by Chanhui Lee, Lee, Chanhui, Yeonghwan Song +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis