{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T17:10:04Z","timestamp":1750957804874,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,10,19]],"date-time":"2017-10-19T00:00:00Z","timestamp":1508371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key Research and Development of China","award":["No.2016YFB08004 04"],"award-info":[{"award-number":["No.2016YFB08004 04"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61532005, No.61572065, No.61572493, Grant U1536203"],"award-info":[{"award-number":["No.61532005, No.61572065, No.61572493, Grant U1536203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for the Central Universities","award":["No.2017YJS055"],"award-info":[{"award-number":["No.2017YJS055"]}]},{"name":"Joint Fund of Ministry of Education of China and China Mobile","award":["No.MCM20160102"],"award-info":[{"award-number":["No.MCM20160102"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,10,19]]},"DOI":"10.1145\/3123266.3123398","type":"proceedings-article","created":{"date-parts":[[2017,10,20]],"date-time":"2017-10-20T13:04:26Z","timestamp":1508504666000},"page":"429-437","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Magic-wall"],"prefix":"10.1145","author":[{"given":"Ting","family":"Liu","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}]},{"given":"Yunchao","family":"Wei","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"given":"Yao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}]},{"given":"Si","family":"Liu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}]},{"given":"Shikui","family":"Wei","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2017,10,19]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"K. Alex I. Sutskever and G.E. Hinton ImageNet Classification with Deep Convolutional Neural Networks. NIPS. K. Alex I. Sutskever and G.E. Hinton ImageNet Classification with Deep Convolutional Neural Networks. NIPS."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.113"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2462002"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"G. Bertasius J. Shi and L. Torresani. 2015 a. Deepedge: A multi-scale bifurcated deep network for top-down contour detection CVPR. 4380--4389. G. Bertasius J. Shi and L. Torresani. 2015 a. Deepedge: A multi-scale bifurcated deep network for top-down contour detection CVPR. 4380--4389.","DOI":"10.1109\/CVPR.2015.7299067"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.65"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1730804.1730833"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818096"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"L. Chen J. T. Barron G. Papandreou K. Murphy and A. L. Yuille. 2016. Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform. In CVPR. 4545--4554. L. Chen J. T. Barron G. Papandreou K. Murphy and A. L. Yuille. 2016. Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform. In CVPR. 4545--4554.","DOI":"10.1109\/CVPR.2016.492"},{"key":"e_1_3_2_1_9_1","unstructured":"L. Chen P. George K. Iasonas M. Kevin and A. L. Yuille. 2015. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs ICLR. L. Chen P. George K. Iasonas M. Kevin and A. L. Yuille. 2015. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs ICLR."},{"key":"e_1_3_2_1_10_1","unstructured":"L. Chen P. George K. Iasonas M. Kevin and A. L. Yuille. 2016. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets Atrous Convolution and Fully Connected CRFs. arXiv:1606.00915 (2016). L. Chen P. George K. Iasonas M. Kevin and A. L. Yuille. 2016. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets Atrous Convolution and Fully Connected CRFs. arXiv:1606.00915 (2016)."},{"key":"e_1_3_2_1_11_1","unstructured":"C. Couprie C. Farabet L. Najman and Y. Lecun. 2013. Indoor semantic segmentation using depth information ICLR. C. Couprie C. Farabet L. Najman and Y. Lecun. 2013. Indoor semantic segmentation using depth information ICLR."},{"volume-title":"Delay: Robust spatial layout estimation for cluttered indoor scenes CVPR. 616--624.","year":"2016","author":"Dasgupta S.","key":"e_1_3_2_1_12_1"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database CVPR. J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database CVPR.","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995495"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"K. He X. Zhang S. Ren and J. Sun. 2016. Deep residual learning for image recognition. In CVPR. 770--778. K. He X. Zhang S. Ren and J. Sun. 2016. Deep residual learning for image recognition. In CVPR. 770--778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"V. Hedau D. Hoiem and D. Forsyth. 2009. Recovering the Spatial Layout of Cluttered Rooms. ICCV. V. Hedau D. Hoiem and D. Forsyth. 2009. Recovering the Spatial Layout of Cluttered Rooms. ICCV.","DOI":"10.1109\/ICCV.2009.5459411"},{"key":"e_1_3_2_1_17_1","unstructured":"J. Hwang and T. Liu. 2015. Pixel-wise deep learning for contour detection. arXiv preprint arXiv:1504.01989 (2015). J. Hwang and T. Liu. 2015. Pixel-wise deep learning for contour detection. arXiv preprint arXiv:1504.01989 (2015)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366162"},{"volume-title":"Caffe: Convolutional Architecture for Fast Feature Embedding. arXiv preprint arXiv:1408.5093","year":"2014","author":"Jia Y.","key":"e_1_3_2_1_19_1"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2537339"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.131"},{"key":"e_1_3_2_1_22_1","unstructured":"S. Liu X. Ou R. Qian W. Wang and X. Cao. 2016. Makeup like a superstar: Deep Localized Makeup Transfer Network. arXiv preprint arXiv:1604.07102 (2016). S. Liu X. Ou R. Qian W. Wang and X. Cao. 2016. Makeup like a superstar: Deep Localized Makeup Transfer Network. arXiv preprint arXiv:1604.07102 (2016)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"J. Long E. Shelhamer and T. Darrell. 2015. Fully convolutional networks for semantic segmentation CVPR. 3431--3440. J. Long E. Shelhamer and T. Darrell. 2015. Fully convolutional networks for semantic segmentation CVPR. 3431--3440.","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/2318896.2318902"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"X. Ren L. Bo and D. Fox. 2012. Rgb-(d) scene labeling: Features and algorithms. CVPR. 2759--2766. X. Ren L. Bo and D. Fox. 2012. Rgb-(d) scene labeling: Features and algorithms. CVPR. 2759--2766.","DOI":"10.1109\/CVPR.2012.6247999"},{"volume-title":"Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection CVPR. 3982--3991.","year":"2015","author":"Shen W.","key":"e_1_3_2_1_27_1"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"N. Silberman and R. Fergus. 2011. Indoor scene segmentation using a structured light sensor ICCV. 601--608. N. Silberman and R. Fergus. 2011. Indoor scene segmentation using a structured light sensor ICCV. 601--608.","DOI":"10.1109\/ICCVW.2011.6130298"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"e_1_3_2_1_30_1","unstructured":"K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR Vol. abs\/1409.1556 (2014). K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR Vol. abs\/1409.1556 (2014)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"C. Szegedy W. Liu Y. Jia P. Sermanet S. Reed D. Anguelov D. Erhan V. Vanhoucke and A. Rabinovich. 2015. Going deeper with convolutions. In CVPR. 1--9. C. Szegedy W. Liu Y. Jia P. Sermanet S. Reed D. Anguelov D. Erhan V. Vanhoucke and A. Rabinovich. 2015. Going deeper with convolutions. In CVPR. 1--9.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"M. W. Tao M. K. Johnson and S. Paris. 2010. Error-tolerant Image Compositing. In ECCV. M. W. Tao M. K. Johnson and S. Paris. 2010. Error-tolerant Image Compositing. In ECCV.","DOI":"10.1007\/978-3-642-15549-9_3"},{"volume-title":"Robotics: Science and Systems","year":"2013","author":"Taylor C. J.","key":"e_1_3_2_1_33_1"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925942"},{"volume-title":"Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. In CVPR.","year":"2017","author":"Wei Y.","key":"e_1_3_2_1_35_1"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.01.015"},{"volume-title":"2016 b. STC: A simple to complex framework for weakly-supervised semantic segmentation. TPAMI","year":"2016","author":"Wei Y.","key":"e_1_3_2_1_37_1"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2491929"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"e_1_3_2_1_40_1","unstructured":"H. Zhao J. Shi X. Qi X. Wang and J. Jia. 2016. Pyramid Scene Parsing Network. CoRR Vol. abs\/1612.01105 (2016). H. Zhao J. Shi X. Qi X. Wang and J. Jia. 2016. Pyramid Scene Parsing Network. CoRR Vol. abs\/1612.01105 (2016)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"B. Zhou H. Zhao X. Puig S. Fidler A. Barriuso and A. Torralba. 2016. Semantic understanding of scenes through the ade20k dataset. arXiv preprint arXiv:1608.05442 (2016). B. Zhou H. Zhao X. Puig S. Fidler A. Barriuso and A. Torralba. 2016. Semantic understanding of scenes through the ade20k dataset. arXiv preprint arXiv:1608.05442 (2016).","DOI":"10.1109\/CVPR.2017.544"}],"event":{"name":"MM '17: ACM Multimedia Conference","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Mountain View California USA","acronym":"MM '17"},"container-title":["Proceedings of the 25th ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3123266.3123398","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3123266.3123398","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T16:34:41Z","timestamp":1750955681000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3123266.3123398"}},"subtitle":["Visualizing Room Decoration"],"short-title":[],"issued":{"date-parts":[[2017,10,19]]},"references-count":41,"alternative-id":["10.1145\/3123266.3123398","10.1145\/3123266"],"URL":"https:\/\/doi.org\/10.1145\/3123266.3123398","relation":{},"subject":[],"published":{"date-parts":[[2017,10,19]]},"assertion":[{"value":"2017-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}