{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:47:58Z","timestamp":1771458478198,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"China Postdoctoral Science Foundation","award":["2019M660438"],"award-info":[{"award-number":["2019M660438"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["2019RC039"],"award-info":[{"award-number":["2019RC039"]}]},{"name":"National Key Research and Development Program of China","award":["2017YFC0820601"],"award-info":[{"award-number":["2017YFC0820601"]}]},{"name":"National Natural Science Foundation of China","award":["61720106004"],"award-info":[{"award-number":["61720106004"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413928","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T12:26:25Z","timestamp":1602505585000},"page":"1478-1487","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal"],"prefix":"10.1145","author":[{"given":"Chongyi","family":"Li","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}]},{"given":"Huazhu","family":"Fu","sequence":"additional","affiliation":[{"name":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"}]},{"given":"Runmin","family":"Cong","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}]},{"given":"Zechao","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, Nanjing, China"}]},{"given":"Qianqian","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2010.2084567"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2157513"},{"key":"e_1_3_2_2_3_1","volume-title":"Proc. of British Mach. Vis. Conf. (BMVC). 1--12","author":"Chen W.","unstructured":"W. Chen , W. Wang , W. Yang , and J. Liu . 2018. Deep retinex decomposition for low-light enhancement . In Proc. of British Mach. Vis. Conf. (BMVC). 1--12 . W. Chen, W. Wang, W. Yang, and J. Liu. 2018. Deep retinex decomposition for low-light enhancement. In Proc. of British Mach. Vis. Conf. (BMVC). 1--12."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2838550"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.34715"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.864170"},{"key":"e_1_3_2_2_7_1","volume-title":"Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 248--255","author":"Deng J.","unstructured":"J. Deng , W. Dong , R. Socher , L. Li , and L. Fei-Fei . 2009. Imagenet: A large-scale hierarchical image database . In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 248--255 . J. Deng, W. Dong, R. Socher, L. Li, and L. Fei-Fei. 2009. Imagenet: A large-scale hierarchical image database. In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 248--255."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2006.09.007"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2791488"},{"key":"e_1_3_2_2_10_1","volume-title":"Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 2782--2790","author":"Fu X.","unstructured":"X. Fu , D. Zeng , Y. Huang , X. Zhang , and X. Ding . 2016. A weighted variational model for simultaneous reflectance and illumination estimation . In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 2782--2790 . X. Fu, D. Zeng, Y. Huang, X. Zhang, and X. Ding. 2016. A weighted variational model for simultaneous reflectance and illumination estimation. In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 2782--2790."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2887029"},{"key":"e_1_3_2_2_13_1","volume-title":"Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 1780--1789","author":"Guo C.","unstructured":"C. Guo , C. Li , J. Guo , C. C. Loy , J. Hou , S. Kwong , and R. Cong . 2020. Zero-reference deep curve estimation for low-light image enhancement . In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 1780--1789 . C. Guo, C. Li, J. Guo, C. C. Loy, J. Hou, S. Kwong, and R. Cong. 2020. Zero-reference deep curve estimation for low-light image enhancement. In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 1780--1789."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2639450"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.4236\/jbise.2009.27079"},{"key":"e_1_3_2_2_16_1","volume-title":"Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 770--778","author":"He K.","unstructured":"K. He , X. Zhang , S. Ren , and J. Sun . 2016. Deep residual learning for image recognition . In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 770--778 . K. He, X. Zhang, S. Ren, and J. Sun. 2016. Deep residual learning for image recognition. In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 770--778."},{"key":"e_1_3_2_2_17_1","volume-title":"Proc. American Med. Inform. Asso. Sympo. 931--935","author":"Hoover A.","unstructured":"A. Hoover , V. Kouznetsova , and M. Goldbaum . 1998. Locating blood vessels in retinal images by piece-wise threhshold probing of a matched filter resonse . In Proc. American Med. Inform. Asso. Sympo. 931--935 . A. Hoover, V. Kouznetsova, and M. Goldbaum. 1998. Locating blood vessels in retinal images by piece-wise threhshold probing of a matched filter resonse. In Proc. American Med. Inform. Asso. Sympo. 931--935."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2007.4429280"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2885331"},{"key":"e_1_3_2_2_20_1","volume-title":"Proc. of Eur. Conf. Comput. Vis. (ECCV). 694--711","author":"Johnson J.","unstructured":"J. Johnson , A. Alahi , and L. Fei-Fei . 2016. Perceptual losses for real-time style transfer and super-resolution . In Proc. of Eur. Conf. Comput. Vis. (ECCV). 694--711 . J. Johnson, A. Alahi, and L. Fei-Fei. 2016. Perceptual losses for real-time style transfer and super-resolution. In Proc. of Eur. Conf. Comput. Vis. (ECCV). 694--711."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.83.10.3078"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2284059"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican1277-108"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107038"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2925070"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.05.023"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2612882"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2792050"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.01.010"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2003.820400"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2810539"},{"key":"e_1_3_2_2_32_1","volume-title":"Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 2752--2759","author":"Li Y.","unstructured":"Y. Li and M. Brown . 2014. Single image layer separation using relative smoothness . In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 2752--2759 . Y. Li and M. Brown. 2014. Single image layer separation using relative smoothness. In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 2752--2759."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.06.008"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.01.001"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2710798"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.41493"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910412"},{"key":"e_1_3_2_2_39_1","unstructured":"C. Rother M. Kiefei L. Zhang B. Scholkopf and P. Gehler. 2011. Recovering intrinsic images with a global sparsity prior on reflectance. In Adcances in Neural Inf. Process. Sys. (NeuralPS). 765--773.  C. Rother M. Kiefei L. Zhang B. Scholkopf and P. Gehler. 2011. Recovering intrinsic images with a global sparsity prior on reflectance. In Adcances in Neural Inf. Process. Sys. (NeuralPS). 765--773."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.01.005"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2920608"},{"key":"e_1_3_2_2_42_1","unstructured":"K. Simonyan and A. Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv: 1409.1556 (2014).  K. Simonyan and A. Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv: 1409.1556 (2014)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2004.825627"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.841534"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1364\/OL.18.001864"},{"key":"e_1_3_2_2_46_1","volume-title":"Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 6849--6857","author":"Wang R.","unstructured":"R. Wang , Q. Zhang , C. Fu , X. Shen , W. Zheng , and J. Jia . 2019. Underexposed phto enhancement using deep illumination estimation . In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 6849--6857 . R. Wang, Q. Zhang, C. Fu, X. Shen, W. Zheng, and J. Jia. 2019. Underexposed phto enhancement using deep illumination estimation. In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 6849--6857."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2261309"},{"key":"e_1_3_2_2_48_1","volume-title":"Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 7794--7803","author":"Wang X.","unstructured":"X. Wang , R. Girshick , A. Gupta , and K. He . 2018. Non-local neural networks . In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 7794--7803 . X. Wang, R. Girshick, A. Gupta, and K. He. 2018. Non-local neural networks. In Proc. of IEEE Int. Conf. Comput. Vis. Pattern Rec. (CVPR). 7794--7803."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2872813"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2700627"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"crossref","unstructured":"Karel Zuiderveld. 1994. Contrast Limited Adaptive Histogram Equalization.  Karel Zuiderveld. 1994. Contrast Limited Adaptive Histogram Equalization.","DOI":"10.1016\/B978-0-12-336156-1.50061-6"}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","location":"Seattle WA USA","acronym":"MM '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413928","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:32:06Z","timestamp":1750195926000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":52,"alternative-id":["10.1145\/3394171.3413928","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413928","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}