{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:39Z","timestamp":1750220679665,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,7]],"date-time":"2021-03-07T00:00:00Z","timestamp":1615075200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976076, 61632007, 61932009 and 61806066"],"award-info":[{"award-number":["61976076, 61632007, 61932009 and 61806066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018AAA010200"],"award-info":[{"award-number":["2018AAA010200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,7]]},"DOI":"10.1145\/3444685.3446292","type":"proceedings-article","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T04:48:41Z","timestamp":1620103721000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["WFN-PSC"],"prefix":"10.1145","author":[{"given":"Lexuan","family":"Sun","sequence":"first","affiliation":[{"name":"Hefei University of Technology (HFUT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueliang","family":"Liu","sequence":"additional","affiliation":[{"name":"Hefei University of Technology (HFUT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenzhen","family":"Hu","sequence":"additional","affiliation":[{"name":"Hefei University of Technology (HFUT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richang","family":"Hong","sequence":"additional","affiliation":[{"name":"Hefei University of Technology (HFUT)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"NTIRE 2018 Challenge on Image Dehazing: Methods and Results. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).","author":"Ancuti Cosmin","year":"2018","unstructured":"Cosmin Ancuti , Codruta O. Ancuti , Radu Timofte , Luc Van Gool , and Ming Hsuan Yang . 2018 . NTIRE 2018 Challenge on Image Dehazing: Methods and Results. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Cosmin Ancuti, Codruta O. Ancuti, Radu Timofte, Luc Van Gool, and Ming Hsuan Yang. 2018. NTIRE 2018 Challenge on Image Dehazing: Methods and Results. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Codruta O Ancuti Cosmin Ancuti Radu Timofte and Christophe De Vleeschouwer. 2018. I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images. In arXiv:1804.05091v1.  Codruta O Ancuti Cosmin Ancuti Radu Timofte and Christophe De Vleeschouwer. 2018. I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images. In arXiv:1804.05091v1.","DOI":"10.1109\/CVPRW.2018.00119"},{"key":"e_1_3_2_1_3_1","volume-title":"O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).","author":"Ancuti Codruta O.","year":"2018","unstructured":"Codruta O. Ancuti , Cosmin Ancuti , Radu Timofte , and Christophe De Vleeschouwer . 2018 . O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, and Christophe De Vleeschouwer. 2018. O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598681"},{"key":"e_1_3_2_1_5_1","volume-title":"Gated Context Aggregation Network for Image Dehazing and Deraining. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 1375--1383","author":"Chen Dongdong","year":"2019","unstructured":"Dongdong Chen , Mingming He , Qingnan Fan , Jing Liao , Liheng Zhang , Dongdong Hou , Lu Yuan , and Gang Hua . 2019 . Gated Context Aggregation Network for Image Dehazing and Deraining. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 1375--1383 . Dongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, and Gang Hua. 2019. Gated Context Aggregation Network for Image Dehazing and Deraining. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 1375--1383."},{"key":"e_1_3_2_1_6_1","volume-title":"Rethinking Atrous Convolution for Semantic Image Segmentation. arXiv preprint arXiv:1706.05587","author":"Chen Liang Chieh","year":"2017","unstructured":"Liang Chieh Chen , George Papandreou , Florian Schroff , and Hartwig Adam . 2017. Rethinking Atrous Convolution for Semantic Image Segmentation. arXiv preprint arXiv:1706.05587 ( 2017 ). Liang Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam. 2017. Rethinking Atrous Convolution for Semantic Image Segmentation. arXiv preprint arXiv:1706.05587 (2017)."},{"key":"e_1_3_2_1_7_1","volume-title":"Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=HJMHpjC9Ym","author":"Fan Quanfu","year":"2018","unstructured":"Chun-Fu, Quanfu Fan , Neil Mallinar , Tom Sercu , and Rogerio Feris . 2018 . Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=HJMHpjC9Ym Chun-Fu, Quanfu Fan, Neil Mallinar, Tom Sercu, and Rogerio Feris. 2018. Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=HJMHpjC9Ym"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1399504.1360671"},{"key":"e_1_3_2_1_9_1","volume-title":"Single image haze removal using dark channel prior","author":"He Kaiming","year":"2009","unstructured":"Kaiming He , Jian Sun , and Xiaoou Tang . 2009. Single image haze removal using dark channel prior . IEEE transactions on pattern analysis and machine intelligence 33, 12 ( 2009 ), 1956--1963. Kaiming He, Jian Sun, and Xiaoou Tang. 2009. Single image haze removal using dark channel prior. IEEE transactions on pattern analysis and machine intelligence 33, 12 (2009), 1956--1963."},{"key":"e_1_3_2_1_10_1","unstructured":"Zhichun Lei. 2010. Adaptive histogram equalization for images with strong local contrast. (2010).  Zhichun Lei. 2010. Adaptive histogram equalization for images with strong local contrast. (2010)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.511"},{"key":"e_1_3_2_1_12_1","volume-title":"RESIDE: A Benchmark for Single Image Dehazing. arXiv preprint arXiv:1712.04143 (12","author":"Li Boyi","year":"2017","unstructured":"Boyi Li , Wenqi Ren , Dengpan Fu , Dacheng Tao , Dan Feng , Wenjun Zeng , and Zhangyang Wang . 2017 . RESIDE: A Benchmark for Single Image Dehazing. arXiv preprint arXiv:1712.04143 (12 2017). Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang. 2017. RESIDE: A Benchmark for Single Image Dehazing. arXiv preprint arXiv:1712.04143 (12 2017)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_37"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00615"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_3_2_1_16_1","volume-title":"SSD: Single Shot MultiBox Detector. In European conference on computer vision. Springer, 21--37","author":"Liu Wei","year":"2016","unstructured":"Wei Liu , Dragomir Anguelov , Dumitru Erhan , Christian Szegedy , Scott Reed , Cheng Yang Fu , and Alexander C Berg . 2016 . SSD: Single Shot MultiBox Detector. In European conference on computer vision. Springer, 21--37 . Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng Yang Fu, and Alexander C Berg. 2016. SSD: Single Shot MultiBox Detector. In European conference on computer vision. Springer, 21--37."},{"key":"e_1_3_2_1_17_1","volume-title":"PAD-Net: A Perception-Aided Single Image Dehazing Network. ArXiv abs\/1805.03146","author":"Liu Yu","year":"2018","unstructured":"Yu Liu and Guanlong Zhao . 2018. PAD-Net: A Perception-Aided Single Image Dehazing Network. ArXiv abs\/1805.03146 ( 2018 ). Yu Liu and Guanlong Zhao. 2018. PAD-Net: A Perception-Aided Single Image Dehazing Network. ArXiv abs\/1805.03146 (2018)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1063\/1.3037551"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.855874"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1016328200723"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00324"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00835"},{"key":"e_1_3_2_1_23_1","article-title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","volume":"39","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren , Kaiming He , Ross Girshick , and Jian Sun . 2015 . Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks . IEEE Transactions on Pattern Analysis and Machine Intelligence 39 , 6 (2015). Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 39, 6 (2015).","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00343"},{"key":"e_1_3_2_1_26_1","volume-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation. In International Conference on Medical image computing and computer-assisted intervention. Springer, 234--241","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger , Philipp Fischer , and Thomas Brox . 2015 . U-Net: Convolutional Networks for Biomedical Image Segmentation. In International Conference on Medical image computing and computer-assisted intervention. Springer, 234--241 . Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. In International Conference on Medical image computing and computer-assisted intervention. Springer, 234--241."},{"volume-title":"Fully Convolutional Networks for Semantic Segmentation","author":"Shelhamer Evan","key":"e_1_3_2_1_27_1","unstructured":"Evan Shelhamer , Jonathan Long , and Trevor Darrell . 2017. Fully Convolutional Networks for Semantic Segmentation . IEEE Computer Society . Evan Shelhamer, Jonathan Long, and Trevor Darrell. 2017. Fully Convolutional Networks for Semantic Segmentation. IEEE Computer Society."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_43"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Xitong Yang Zheng Xu and Jiebo Luo. 2018. Towards Perceptual Image Dehazing by Physics-based Disentanglement and Adversarial Training. In AAAI. 7485--7492.  Xitong Yang Zheng Xu and Jiebo Luo. 2018. Towards Perceptual Image Dehazing by Physics-based Disentanglement and Adversarial Training. In AAAI. 7485--7492.","DOI":"10.1609\/aaai.v32i1.12317"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00337"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2644865"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2446191"}],"event":{"name":"MMAsia '20: ACM Multimedia Asia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Virtual Event Singapore","acronym":"MMAsia '20"},"container-title":["Proceedings of the 2nd ACM International Conference on Multimedia in Asia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444685.3446292","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3444685.3446292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:03:19Z","timestamp":1750197799000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444685.3446292"}},"subtitle":["weighted-fusion network with poly-scale convolution for image dehazing"],"short-title":[],"issued":{"date-parts":[[2021,3,7]]},"references-count":35,"alternative-id":["10.1145\/3444685.3446292","10.1145\/3444685"],"URL":"https:\/\/doi.org\/10.1145\/3444685.3446292","relation":{},"subject":[],"published":{"date-parts":[[2021,3,7]]},"assertion":[{"value":"2021-05-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}