vix.ing · top · new · best · stats · spec

Wang, Kaihong

  1. A Broad Study of Pre-training for Domain Generalization and Adaptation
    2022/03/22 by Kim, Donghyun, Wang, Kaihong, Sclaroff, Stan +1 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  2. Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types
    2019/08/31 by Wang, Kaihong, Jalal, Mona, Jefferson, Sankara +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  3. Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow
    2022/01/15 by Kaihong Wang, Kumar Akash, Wang, Kaihong +3 · 1 citation
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  4. A Unified Framework for Domain Adaptive Pose Estimation
    2022/04/01 by Kim, Donghyun, Wang, Kaihong, Saenko, Kate +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation
    2022/11/27 by Wang, Kaihong, Kim, Donghyun, Feris, Rogerio +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. Detecting Human Artifacts from Text-to-Image Models
    2024/11/21 by Kaihong Wang, Wang, Kaihong, Lingzhi Zhang +3 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction
  7. LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning
    2025/07/17 by Wang, Kaihong, Kim, Donghyun, Betke, Margrit · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences