{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:33:16Z","timestamp":1750221196910,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,6]],"date-time":"2018-06-06T00:00:00Z","timestamp":1528243200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"This work has been funded by the Russian Academic Excellence Project '5-100'."}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,6,6]]},"DOI":"10.1145\/3210499.3210529","type":"proceedings-article","created":{"date-parts":[[2018,6,11]],"date-time":"2018-06-11T12:36:20Z","timestamp":1528720580000},"page":"18-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Fast Semi-dense Depth Map Estimation"],"prefix":"10.1145","author":[{"given":"Ilya","family":"Makarov","sequence":"first","affiliation":[{"name":"National Research University Higher School of Economics, Moscow, Russian Fed."}]},{"given":"Alisa","family":"Korinevskaya","sequence":"additional","affiliation":[{"name":"National Research University Higher School of Economics, Moscow, Russian Fed."}]},{"given":"Vladimir","family":"Aliev","sequence":"additional","affiliation":[{"name":"National Research University Higher School of Economics, Moscow, Russian Fed."}]}],"member":"320","published-online":{"date-parts":[[2018,6,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_44"},{"key":"e_1_3_2_1_2_1","unstructured":"Cesar Cadena Anthony R Dick and Ian D Reid. 2016. Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding Robotics: Science and Systems. RSS Foundation Pennsylvania USA.  Cesar Cadena Anthony R Dick and Ian D Reid. 2016. Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding Robotics: Science and Systems. RSS Foundation Pennsylvania USA."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00081"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2015.52"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Justin Johnson Alexandre Alahi and Li Fei-Fei. 2016. Perceptual losses for real-time style transfer and super-resolution European Conference on Computer Vision. Springer Amsterdam The Netherlands 694--711.  Justin Johnson Alexandre Alahi and Li Fei-Fei. 2016. Perceptual losses for real-time style transfer and super-resolution European Conference on Computer Vision. Springer Amsterdam The Netherlands 694--711.","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Yevhen Kuznietsov J\u00f6rg St\u00fcckler and Bastian Leibe. 2017. Semi-supervised deep learning for monocular depth map prediction Proc. of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE Honolulu HI USA 6647--6655.  Yevhen Kuznietsov J\u00f6rg St\u00fcckler and Bastian Leibe. 2017. Semi-supervised deep learning for monocular depth map prediction Proc. of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE Honolulu HI USA 6647--6655.","DOI":"10.1109\/CVPR.2017.238"},{"volume-title":"2016 Fourth International Conference on. IEEE, Stanford at the Frances C. Arrillaga Alumni Center, 239--248","year":"2016","author":"Laina Iro","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989590"},{"key":"e_1_3_2_1_10_1","unstructured":"Wei Liu Yijun Li Xiaogang Chen Jie Yang Qiang Wu and Jingyi Yu. 2015. Robust High Quality Image Guided Depth Upsampling. CoRR Vol. abs\/1506.05187 (2015). showeprint{arxiv}1506.05187deftempurl%http:\/\/arxiv.org\/abs\/1506.05187 tempurl  Wei Liu Yijun Li Xiaogang Chen Jie Yang Qiang Wu and Jingyi Yu. 2015. Robust High Quality Image Guided Depth Upsampling. CoRR Vol. abs\/1506.05187 (2015). showeprint{arxiv}1506.05187deftempurl%http:\/\/arxiv.org\/abs\/1506.05187 tempurl"},{"key":"e_1_3_2_1_11_1","unstructured":"Fangchang Ma and Sertac Karaman. 2017. Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image. CoRR Vol. abs\/1709.07492 (2017). showeprint{arxiv}1709.07492deftempurl%http:\/\/arxiv.org\/abs\/1709.07492 tempurl  Fangchang Ma and Sertac Karaman. 2017. Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image. CoRR Vol. abs\/1709.07492 (2017). showeprint{arxiv}1709.07492deftempurl%http:\/\/arxiv.org\/abs\/1709.07492 tempurl"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123360"},{"volume-title":"Depth Map Interpolation Using Perceptual Loss. In Mixed and Augmented Reality (ISMAR-Adjunct), 2017 IEEE International Symposium on. IEEE","year":"2017","author":"Makarov Ilya","key":"e_1_3_2_1_13_1"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2773141"},{"key":"e_1_3_2_1_16_1","unstructured":"Olaf Ronneberger Philipp Fischer and Thomas Brox . 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. CoRR Vol. abs\/1505.04597 (2015). showeprint{arxiv}1505.04597deftempurl%http:\/\/arxiv.org\/abs\/1505.04597 tempurl  Olaf Ronneberger Philipp Fischer and Thomas Brox . 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. CoRR Vol. abs\/1505.04597 (2015). showeprint{arxiv}1505.04597deftempurl%http:\/\/arxiv.org\/abs\/1505.04597 tempurl"},{"volume-title":"The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Ros German","key":"e_1_3_2_1_17_1"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383191"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45886-1_4"},{"volume-title":"Demon: Depth and motion network for learning monocular stereo.","year":"2017","author":"Ummenhofer Benjamin","key":"e_1_3_2_1_20_1"},{"key":"e_1_3_2_1_21_1","unstructured":"Yi Xiao Xiang Cao Xianyi Zhu Renzhi Yang and Yan Zheng . 2018. Joint convolutional neural pyramid for depth map super-resolution. arXiv preprint arXiv:1801.00968 (2018).  Yi Xiao Xiang Cao Xianyi Zhu Renzhi Yang and Yan Zheng . 2018. Joint convolutional neural pyramid for depth map super-resolution. arXiv preprint arXiv:1801.00968 (2018)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383211"}],"event":{"name":"ICMR '18: International Conference on Multimedia Retrieval","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Yokohama Japan","acronym":"ICMR '18"},"container-title":["Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3210499.3210529","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3210499.3210529","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:21Z","timestamp":1750210761000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3210499.3210529"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,6]]},"references-count":22,"alternative-id":["10.1145\/3210499.3210529","10.1145\/3210499"],"URL":"https:\/\/doi.org\/10.1145\/3210499.3210529","relation":{},"subject":[],"published":{"date-parts":[[2018,6,6]]},"assertion":[{"value":"2018-06-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}