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Browsing by Author "Wang, Fu Lee"

Now showing items 1-4 of 4

    • Contrastive Semantic-Guided Image Smoothing Network 

      Wang, Jie; Wang, Yongzhen; Feng, Yidan; Gong, Lina; Yan, Xuefeng; Xie, Haoran; Wang, Fu Lee; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Image smoothing is a fundamental low-level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning has been explored in image smoothing to deal with the complex ...

    • Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal 

      Shen, Yiyang; Wang, Yongzhen; Wei, Mingqiang; Chen, Honghua; Xie, Haoran; Cheng, Gary; Wang, Fu Lee (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Real-world rain is a mixture of rain streaks and rainy haze. However, current efforts formulate image rain streaks removal and rainy haze removal as separated models, worsening the loss of image details. This paper attempts ...

    • SPCNet: Stepwise Point Cloud Completion Network 

      Hu, Fei; Chen, Honghua; Lu, Xuequan; Zhu, Zhe; Wang, Jun; Wang, Weiming; Wang, Fu Lee; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      How will you repair a physical object with large missings? You may first recover its global yet coarse shape and stepwise increase its local details. We are motivated to imitate the above physical repair procedure to address ...

    • TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning 

      Wang, Yongzhen; Yan, Xuefeng; Zhang, Kaiwen; Gong, Lina; Xie, Haoran; Wang, Fu Lee; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Adverse weather conditions such as haze, rain, and snow often impair the quality of captured images, causing detection networks trained on normal images to generalize poorly in these scenarios. In this paper, we raise an ...