{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T17:56:07Z","timestamp":1772042167636,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":54,"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":"the Key Technological Innovation Projects of Hubei Province","award":["2018AAA062"],"award-info":[{"award-number":["2018AAA062"]}]},{"name":"National Natural Science Foundation of China","award":["61672390"],"award-info":[{"award-number":["61672390"]}]},{"name":"National Natural Science Foundation of China","award":["61902275"],"award-info":[{"award-number":["61902275"]}]},{"name":"National Natural Science Foundation of China","award":["61972298"],"award-info":[{"award-number":["61972298"]}]},{"name":"the National Key Research and Development Program of China","award":["2017YFB1002600"],"award-info":[{"award-number":["2017YFB1002600"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413586","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T12:27:35Z","timestamp":1602505655000},"page":"1873-1881","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":41,"title":["Learning to Detect Specular Highlights from Real-world Images"],"prefix":"10.1145","author":[{"given":"Gang","family":"Fu","sequence":"first","affiliation":[{"name":"Wuhan University, Wuhan, China"}]},{"given":"Qing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Guangzhou, China"}]},{"given":"Qifeng","family":"Lin","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}]},{"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, Hong Kong"}]},{"given":"Chunxia","family":"Xiao","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"crossref","unstructured":"Radhakrishna Achanta Sheila Hemami Francisco Estrada and Sabine Susstrunk. 2009. Frequency-tuned salient region detection. In CVPR. 1597--1604.  Radhakrishna Achanta Sheila Hemami Francisco Estrada and Sabine Susstrunk. 2009. Frequency-tuned salient region detection. In CVPR. 1597--1604.","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"e_1_3_2_2_2_1","volume-title":"Sang Wook Lee, and Alevs Leonardis","author":"Bajcsy Ruzena","year":"1990","unstructured":"Ruzena Bajcsy , Sang Wook Lee, and Alevs Leonardis . 1990 . Color image segmentation with detection of highlights and local illumination induced by inter-reflections. In CVPR. 785--790. Ruzena Bajcsy, Sang Wook Lee, and Alevs Leonardis. 1990. Color image segmentation with detection of highlights and local illumination induced by inter-reflections. In CVPR. 785--790."},{"key":"e_1_3_2_2_3_1","volume-title":"Barron and Yun-Ta Tsai","author":"Jonathan","year":"2017","unstructured":"Jonathan T. Barron and Yun-Ta Tsai . 2017 . Fast Fourier Color Constancy. In CVPR. 6950--6958. Jonathan T. Barron and Yun-Ta Tsai. 2017. Fast Fourier Color Constancy. In CVPR. 6950--6958."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Shida Beigpour and Joost van de Weijer. 2011. Object recoloring based on intrinsic image estimation. In ICCV. 327--334.  Shida Beigpour and Joost van de Weijer. 2011. Object recoloring based on intrinsic image estimation. In ICCV. 327--334.","DOI":"10.1109\/ICCV.2011.6126259"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601206"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2462002"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766946"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2487833"},{"key":"e_1_3_2_2_9_1","unstructured":"Gavin Brelstaff and Andrew Blake. 1988. Detecting Specular Reflections Using Lambertian Constraints. In ICCV. 297--302.  Gavin Brelstaff and Andrew Blake. 1988. Detecting Specular Reflections Using Lambertian Constraints. In ICCV. 297--302."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff and Hartwig Adam. 2018a. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. In ECCV. 833--851.  Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff and Hartwig Adam. 2018a. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. In ECCV. 833--851.","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff and Hartwig Adam. 2018b. Encoder-decoder with atrous separable convolution for semantic image segmentation. In ECCV. 801--818.  Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff and Hartwig Adam. 2018b. Encoder-decoder with atrous separable convolution for semantic image segmentation. In ECCV. 801--818.","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"e_1_3_2_2_12_1","volume-title":"Xception: Deep learning with depthwise separable convolutions. In CVPR. 1251--1258.","author":"Chollet Francc","year":"2017","unstructured":"Francc ois Chollet . 2017 . Xception: Deep learning with depthwise separable convolutions. In CVPR. 1251--1258. Francc ois Chollet. 2017. Xception: Deep learning with depthwise separable convolutions. In CVPR. 1251--1258."},{"key":"e_1_3_2_2_13_1","volume-title":"Ai Qun Liu, and Gang Wang","author":"Ding Henghui","year":"2018","unstructured":"Henghui Ding , Xudong Jiang , Bing Shuai , Ai Qun Liu, and Gang Wang . 2018 . Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation. In CVPR. 2393--2402. Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, and Gang Wang. 2018. Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation. In CVPR. 2393--2402."},{"key":"e_1_3_2_2_14_1","volume-title":"Structure-measure: A new way to evaluate foreground maps. In ICCV. 4548--4557.","author":"Fan Deng-Ping","year":"2017","unstructured":"Deng-Ping Fan , Ming-Ming Cheng , Yun Liu , Tao Li , and Ali Borji . 2017 . Structure-measure: A new way to evaluate foreground maps. In ICCV. 4548--4557. Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, and Ali Borji. 2017. Structure-measure: A new way to evaluate foreground maps. In ICCV. 4548--4557."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF03192386"},{"key":"e_1_3_2_2_16_1","unstructured":"Gang Fu Lian Duan and Chunxia Xiao. 2019 a. A Hybrid L2-Lp Variational Model for Single Low-light Image Enhancement with Bright Channel Prior. In ICIP. 1925--1929.  Gang Fu Lian Duan and Chunxia Xiao. 2019 a. A Hybrid L2-Lp Variational Model for Single Low-light Image Enhancement with Bright Channel Prior. In ICIP. 1925--1929."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13834"},{"key":"e_1_3_2_2_18_1","unstructured":"Gang Fu Qing Zhang and Chunxia Xiao. 2019 b. Towards high-quality intrinsic images in the wild. In ICME. 175--180.  Gang Fu Qing Zhang and Chunxia Xiao. 2019 b. Towards high-quality intrinsic images in the wild. In ICME. 175--180."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2815688"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1044709"},{"key":"e_1_3_2_2_21_1","volume-title":"Direction-Aware Spatial Context Features for Shadow Detection and Removal","author":"Hu Xiaowei","year":"2019","unstructured":"Xiaowei Hu , Chi-Wing Fu , Lei Zhu , Jing Qin , and Pheng-Ann Heng . 2019. Direction-Aware Spatial Context Features for Shadow Detection and Removal . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2019 ). to appear. Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, and Pheng-Ann Heng. 2019. Direction-Aware Spatial Context Features for Shadow Detection and Removal. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019). to appear."},{"key":"e_1_3_2_2_22_1","unstructured":"Xiaowei Hu Lei Zhu Chi-Wing Fu Jing Qin and Pheng-Ann Heng. 2018. Direction-aware spatial context features for shadow detection. In CVPR. 7454--7462.  Xiaowei Hu Lei Zhu Chi-Wing Fu Jing Qin and Pheng-Ann Heng. 2018. Direction-aware spatial context features for shadow detection. In CVPR. 7454--7462."},{"key":"e_1_3_2_2_23_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In ICLR . Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR ."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00836279"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.3.001694"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2926501"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Xin Li Fan Yang Hong Cheng Wei Liu and Dinggang Shen. 2018. Contour knowledge transfer for salient object detection. In ECCV. 355--370.  Xin Li Fan Yang Hong Cheng Wei Liu and Dinggang Shen. 2018. Contour knowledge transfer for salient object detection. In ECCV. 355--370.","DOI":"10.1007\/978-3-030-01267-0_22"},{"key":"e_1_3_2_2_28_1","unstructured":"Peiwen Lin Peng Sun Guangliang Cheng Sirui Xie Xi Li and Jianping Shi. 2020. Graph-Guided Architecture Search for Real-Time Semantic Segmentation. In CVPR. 4203--4212.  Peiwen Lin Peng Sun Guangliang Cheng Sirui Xie Xi Li and Jianping Shi. 2020. Graph-Guided Architecture Search for Real-Time Semantic Segmentation. In CVPR. 4203--4212."},{"key":"e_1_3_2_2_29_1","unstructured":"Tsung-Yi Lin Piotr Doll\u00e1r Ross Girshick Kaiming He Bharath Hariharan and Serge Belongie. 2017. Feature pyramid networks for object detection. In CVPR. 2117--2125.  Tsung-Yi Lin Piotr Doll\u00e1r Ross Girshick Kaiming He Bharath Hariharan and Serge Belongie. 2017. Feature pyramid networks for object detection. In CVPR. 2117--2125."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Jonathan Long Evan Shelhamer and Trevor Darrell. 2015. Fully convolutional networks for semantic segmentation. In CVPR. 3431--3440.  Jonathan Long Evan Shelhamer and Trevor Darrell. 2015. Fully convolutional networks for semantic segmentation. In CVPR. 3431--3440.","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.3.000029"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.2478\/s13537-011-0020-2"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.127"},{"key":"e_1_3_2_2_34_1","volume-title":"Fernando Torres Medina, and Pablo Gil","author":"Ortiz Francisco","year":"2005","unstructured":"Francisco Ortiz , Fernando Torres Medina, and Pablo Gil . 2005 . A Comparative Study of Highlights Detection and Elimination by Color Morphology and Polar Color Models. In Pattern Recognition and Image Analysis . 295--302. Francisco Ortiz, Fernando Torres Medina, and Pablo Gil. 2005. A Comparative Study of Highlights Detection and Elimination by Color Morphology and Polar Color Models. In Pattern Recognition and Image Analysis. 295--302."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Margarita Osadchy David W. Jacobs and Ravi Ramamoorthi. 2003. Using Specularities for Recognition. In ICCV. 1512--1519.  Margarita Osadchy David W. Jacobs and Ravi Ramamoorthi. 2003. Using Specularities for Recognition. In ICCV. 1512--1519.","DOI":"10.1109\/ICCV.2003.1238669"},{"key":"e_1_3_2_2_36_1","volume-title":"The IEEE International Conference on Robotics and Automation. 1397--1403","author":"Park Jae Byung","year":"2003","unstructured":"Jae Byung Park and Avinash C Kak . 2003 . A truncated least squares approach to the detection of specular highlights in color images . In The IEEE International Conference on Robotics and Automation. 1397--1403 . Jae Byung Park and Avinash C Kak. 2003. A truncated least squares approach to the detection of specular highlights in color images. In The IEEE International Conference on Robotics and Automation. 1397--1403."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","unstructured":"V\u00e9 ronique Prinet Michael Werman and Dani Lischinski. 2013. Specular highlight enhancement from video sequences. In ICIP. 558--562.  V\u00e9 ronique Prinet Michael Werman and Dani Lischinski. 2013. Specular highlight enhancement from video sequences. In ICIP. 558--562.","DOI":"10.1109\/ICIP.2013.6738115"},{"key":"e_1_3_2_2_38_1","unstructured":"Xuebin Qin Zichen Zhang Chenyang Huang Chao Gao Masood Dehghan and Martin Jagersand. 2019. BASNet: Boundary-Aware Salient Object Detection. In CVPR. 7479--7489.  Xuebin Qin Zichen Zhang Chenyang Huang Chao Gao Masood Dehghan and Martin Jagersand. 2019. BASNet: Boundary-Aware Salient Object Detection. In CVPR. 7479--7489."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2967857"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2477811"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/NEWCAS.2008.4606318"},{"key":"e_1_3_2_2_42_1","volume-title":"Real-Time Specularity Detection Using Unnormalized Wiener Entropy. In The International Conference on Computer and Robot Vision. 356--363","author":"Tian Qing","unstructured":"Qing Tian and James J. Clark . 2013 . Real-Time Specularity Detection Using Unnormalized Wiener Entropy. In The International Conference on Computer and Robot Vision. 356--363 . Qing Tian and James J. Clark. 2013. Real-Time Specularity Detection Using Unnormalized Wiener Entropy. In The International Conference on Computer and Robot Vision. 356--363."},{"key":"e_1_3_2_2_43_1","unstructured":"Kentaro Wada. 2016. labelme: Image Polygonal Annotation with Python. https:\/\/github.com\/wkentaro\/labelme .  Kentaro Wada. 2016. labelme: Image Polygonal Annotation with Python. https:\/\/github.com\/wkentaro\/labelme ."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Ruixing Wang Qing Zhang Chi-Wing Fu Xiaoyong Shen Wei-Shi Zheng and Jiaya Jia. 2019. Underexposed photo enhancement using deep illumination estimation. In CVPR. 6849--6857.  Ruixing Wang Qing Zhang Chi-Wing Fu Xiaoyong Shen Wei-Shi Zheng and Jiaya Jia. 2019. Underexposed photo enhancement using deep illumination estimation. In CVPR. 6849--6857.","DOI":"10.1109\/CVPR.2019.00701"},{"key":"e_1_3_2_2_45_1","unstructured":"Peter Welinder Steve Branson Pietro Perona and Serge J Belongie. 2010. The multidimensional wisdom of crowds. In NIPS. 2424--2432.  Peter Welinder Steve Branson Pietro Perona and Serge J Belongie. 2010. The multidimensional wisdom of crowds. In NIPS. 2424--2432."},{"key":"e_1_3_2_2_46_1","volume-title":"FDA: Fourier Domain Adaptation for Semantic Segmentation. In CVPR. 4085--4095.","author":"Yang Yanchao","year":"2020","unstructured":"Yanchao Yang and Stefano Soatto . 2020 . FDA: Fourier Domain Adaptation for Semantic Segmentation. In CVPR. 4085--4095. Yanchao Yang and Stefano Soatto. 2020. FDA: Fourier Domain Adaptation for Semantic Segmentation. In CVPR. 4085--4095."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2712283"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13833"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","unstructured":"Qing Zhang Ganzhao Yuan Chunxia Xiao Lei Zhu and Wei-Shi Zheng. 2018a. High-quality exposure correction of underexposed photos. In ACM MM. 582--590.  Qing Zhang Ganzhao Yuan Chunxia Xiao Lei Zhu and Wei-Shi Zheng. 2018a. High-quality exposure correction of underexposed photos. In ACM MM. 582--590.","DOI":"10.1145\/3240508.3240595"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2803179"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"crossref","unstructured":"Quanlong Zheng Xiaotian Qiao Ying Cao and Rynson WH Lau. 2019. Distraction-aware shadow detection. In CVPR. 5167--5176.  Quanlong Zheng Xiaotian Qiao Ying Cao and Rynson WH Lau. 2019. Distraction-aware shadow detection. In CVPR. 5167--5176.","DOI":"10.1109\/CVPR.2019.00531"},{"key":"e_1_3_2_2_52_1","volume-title":"Andrew Achkar, Justin A. Eichel, Shaozi Li, and Pierre-Marc Jodoin.","author":"Zhiming Luo","year":"2017","unstructured":"Luo Zhiming , Kumar Mishra Akshaya , Andrew Achkar, Justin A. Eichel, Shaozi Li, and Pierre-Marc Jodoin. 2017 . Non-local Deep Features for Salient Object Detection. In CVPR. 6593--6601. Luo Zhiming, Kumar Mishra Akshaya, Andrew Achkar, Justin A. Eichel, Shaozi Li, and Pierre-Marc Jodoin. 2017. Non-local Deep Features for Salient Object Detection. In CVPR. 6593--6601."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"crossref","unstructured":"Lei Zhu Zijun Deng Xiaowei Hu Chi-Wing Fu Xuemiao Xu Jing Qin and Pheng-Ann Heng. 2018a. Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection. In ECCV. 122--137.  Lei Zhu Zijun Deng Xiaowei Hu Chi-Wing Fu Xuemiao Xu Jing Qin and Pheng-Ann Heng. 2018a. Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection. In ECCV. 122--137.","DOI":"10.1007\/978-3-030-01231-1_8"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2889055"}],"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\/3394171.3413586","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413586","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:14Z","timestamp":1750193234000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413586"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":54,"alternative-id":["10.1145\/3394171.3413586","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413586","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"}}]}}