Perceiving and Modeling Density for Image Dehazing

[1]  Liang Wan,et al.  From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data , 2021, ACM Multimedia.

[2]  Tao Mei,et al.  Contextual Transformer Networks for Visual Recognition , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Ling Shao,et al.  NTIRE 2021 NonHomogeneous Dehazing Challenge Report , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[4]  Lizhuang Ma,et al.  Contrastive Learning for Compact Single Image Dehazing , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Ling Shao,et al.  Multi-Stage Progressive Image Restoration , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[6]  Yanyun Qu,et al.  Distilling Image Dehazing With Heterogeneous Task Imitation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Jongmin Park,et al.  NTIRE 2020 Challenge on NonHomogeneous Dehazing , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[8]  Lei Xiang,et al.  Multi-Scale Boosted Dehazing Network With Dense Feature Fusion , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Xiaodong Xie,et al.  FFA-Net: Feature Fusion Attention Network for Single Image Dehazing , 2019, AAAI.

[10]  Jun Chen,et al.  GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[11]  Radu Timofte,et al.  Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images , 2019, 2019 IEEE International Conference on Image Processing (ICIP).

[12]  Jun Fu,et al.  Dual Attention Network for Scene Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[13]  In-So Kweon,et al.  CBAM: Convolutional Block Attention Module , 2018, ECCV.

[14]  Radu Timofte,et al.  O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[15]  Dan Feng,et al.  Benchmarking Single-Image Dehazing and Beyond , 2017, IEEE Transactions on Image Processing.

[16]  Changming Sun,et al.  Image dehazing using adaptive bi-channel priors on superpixels , 2017, Comput. Vis. Image Underst..

[17]  Jizheng Xu,et al.  AOD-Net: All-in-One Dehazing Network , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[18]  Enhua Wu,et al.  Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Shai Avidan,et al.  Non-local Image Dehazing , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[20]  Neha Verma,et al.  Single Image Haze Removal Algorithm using Color Attenuation Prior and Multi-Scale Fusion , 2016 .

[21]  Dacheng Tao,et al.  DehazeNet: An End-to-End System for Single Image Haze Removal , 2016, IEEE Transactions on Image Processing.

[22]  Raanan Fattal,et al.  Dehazing Using Color-Lines , 2014, ACM Trans. Graph..

[23]  Michel Barlaud,et al.  Two deterministic half-quadratic regularization algorithms for computed imaging , 1994, Proceedings of 1st International Conference on Image Processing.

[24]  Mohinder Malhotra Single Image Haze Removal Using Dark Channel Prior , 2016 .