Search Results - "Li, Lerenhan"

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  1. 1

    Domain Adaptation for Image Dehazing by Shao, Yuanjie, Li, Lerenhan, Ren, Wenqi, Gao, Changxin, Sang, Nong

    “…Image dehazing using learning-based methods has achieved state-of-the-art performance in recent years. However, most existing methods train a dehazing model on…”
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    Conference Proceeding
  2. 2

    Semi-Supervised Image Dehazing by Li, Lerenhan, Dong, Yunlong, Ren, Wenqi, Pan, Jinshan, Gao, Changxin, Sang, Nong, Yang, Ming-Hsuan

    Published in IEEE transactions on image processing (01-01-2020)
    “…We present an effective semi-supervised learning algorithm for single image dehazing. The proposed algorithm applies a deep Convolutional Neural Network (CNN)…”
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    Journal Article
  3. 3

    Blind Image Deblurring via Deep Discriminative Priors by Li, Lerenhan, Pan, Jinshan, Lai, Wei-Sheng, Gao, Changxin, Sang, Nong, Yang, Ming-Hsuan

    Published in International journal of computer vision (01-08-2019)
    “…We present an effective blind image deblurring method based on a data-driven discriminative prior. Our work is motivated by the fact that a good image prior…”
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    Journal Article
  4. 4

    Learning a Discriminative Prior for Blind Image Deblurring by Li, Lerenhan, Pan, Jinshan, Lai, Wei-Sheng, Gao, Changxin, Sang, Nong, Yang, Ming-Hsuan

    “…We present an effective blind image deblurring method based on a data-driven discriminative prior. Our work is motivated by the fact that a good image prior…”
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    Conference Proceeding
  5. 5

    Dynamic Scene Deblurring by Depth Guided Model by Li, Lerenhan, Pan, Jinshan, Lai, Wei-Sheng, Gao, Changxin, Sang, Nong, Yang, Ming-Hsuan

    Published in IEEE transactions on image processing (01-01-2020)
    “…Dynamic scene blur is usually caused by object motion, depth variation as well as camera shake. Most existing methods usually solve this problem using image…”
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    Journal Article
  6. 6

    Motion-blur kernel size estimation via learning a convolutional neural network by Li, Lerenhan, Sang, Nong, Yan, Luxin, Gao, Changxin

    Published in Pattern recognition letters (01-03-2019)
    “…•Motion blur kernel size is a significant input parameter of deblurring algorithms.•A regression CNN is proposed to estimate the kernel size of a blurry…”
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    Journal Article
  7. 7

    Aero-thermal radiation correction via multi-scale bias field estimation by Lerenhan Li, Luxin Yan, Nong Sang, Changxin Gao, Jing Hu

    “…In this paper, a multi-scale bias field estimation is proposed to carry out the aero-thermal radiation correction. The bias field is estimated at scales from…”
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    Conference Proceeding
  8. 8

    Domain Adaptation for Image Dehazing by Shao, Yuanjie, Li, Lerenhan, Ren, Wenqi, Gao, Changxin, Sang, Nong

    Published 10-05-2020
    “…Image dehazing using learning-based methods has achieved state-of-the-art performance in recent years. However, most existing methods train a dehazing model on…”
    Get full text
    Journal Article
  9. 9

    GTNet: Generative Transfer Network for Zero-Shot Object Detection by Zhao, Shizhen, Gao, Changxin, Shao, Yuanjie, Li, Lerenhan, Yu, Changqian, Ji, Zhong, Sang, Nong

    Published 19-01-2020
    “…We propose a Generative Transfer Network (GTNet) for zero shot object detection (ZSD). GTNet consists of an Object Detection Module and a Knowledge Transfer…”
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    Journal Article
  10. 10

    Learning a Discriminative Prior for Blind Image Deblurring by Li, Lerenhan, Pan, Jinshan, Lai, Wei-Sheng, Gao, Changxin, Sang, Nong, Yang, Ming-Hsuan

    Published 08-03-2018
    “…We present an effective blind image deblurring method based on a data-driven discriminative prior.Our work is motivated by the fact that a good image prior…”
    Get full text
    Journal Article