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Wu, Xiaohe

  1. VITAL: VIsual Tracking via Adversarial Learning
    2018/04/12 by Yibing Song, Song, Yibing, Chao Ma +15 · 6 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Fire Detection and Safety Systems #Video Surveillance and Tracking Methods
  2. Unpaired Learning of Deep Image Denoising
    2020/08/31 by Wu, Xiaohe, Liu, Ming, Cao, Yue +2 · 4 citations
    #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
  3. Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones
    2022/04/12 by Junyi Li, Xiaohe Wu, Li, Junyi +5 · 3 citations
    Computer Science · Engineering · #Image and Signal Denoising Methods #Photoacoustic and Ultrasonic Imaging #Image Processing Techniques and Applications
  4. MC2: Multi-concept Guidance for Customized Multi-concept Generation
    2024/04/08 by Jiang, Jiaxiu, Zhang, Yabo, Feng, Kailai +5 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. DeblurDiff: Real-World Image Deblurring with Generative Diffusion Models
    2025/02/06 by Kong, Lingshun, Zhang, Jiawei, Zou, Dongqing +4 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. Learning Diverse Tone Styles for Image Retouching
    2022/07/12 by Haolin Wang, Wang, Haolin, Jiawei Zhang +7 · 2 citations
    Computer Science · #Image Enhancement Techniques #Visual Attention and Saliency Detection #Image Retrieval and Classification Techniques
  7. Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution
    2022/12/10 by Wang, Ruohao, Liu, Xiaohui, Zhang, Zhilu +4 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  8. Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning
    2023/10/24 by Qing Miao, Miao, Qing, Xiaohe Wu +11 · 2 citations
    Computer Science · Engineering · #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications #Water Systems and Optimization
  9. Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking
    2018/07/29 by Yao, Yingjie, Wu, Xiaohe, Zhang, Lei +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  10. Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser
    2021/03/18 by Yue Cao, Cao, Yue, Xiaohe Wu +9 · 1 citation
    Computer Science · Engineering · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image and Signal Denoising Methods
  11. Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework with Misaligned Training Pairs
    2024/09/26 by Ren, Dongwei, Shu, Xinya, Li, Yu +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  12. Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention
    2024/12/04 by Hannan Lu, Lu, Hannan, Xiaohe Wu +13 · 2 citations
    Computer Science · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  13. Generative Inbetweening through Frame-wise Conditions-Driven Video Generation
    2024/12/16 by Tianyi Zhu, Zhu, Tianyi, Dongwei Ren +7 · 2 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques