{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:05Z","timestamp":1750220645953,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T00:00:00Z","timestamp":1606867200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,2]]},"DOI":"10.1145\/3385958.3430473","type":"proceedings-article","created":{"date-parts":[[2020,12,4]],"date-time":"2020-12-04T22:57:31Z","timestamp":1607122651000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow"],"prefix":"10.1145","author":[{"given":"Ren\u00e9","family":"Schuster","sequence":"first","affiliation":[{"name":"German Research Center for Artificial Intelligence \u2010 DFKI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Didier","family":"Stricker","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence \u2010 DFKI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Unger","sequence":"additional","affiliation":[{"name":"BMW Group"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,12,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967739"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00815"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00287"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6630885"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.451"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409000"},{"volume-title":"Self-Supervised Monocular Scene Flow Estimation. In Conference on Computer Vision and Pattern Recognition (CVPR).","year":"2020","author":"Hur Junhwa","key":"e_1_3_2_1_11_1"},{"key":"e_1_3_2_1_12_1","unstructured":"Jin\u00a0Han Lee Myung-Kyu Han Dong\u00a0Wook Ko and Il\u00a0Hong Suh. 2019. From big to small: Multi-scale local planar guidance for monocular depth estimation. arXiv preprint arXiv:1907.10326(2019).  Jin\u00a0Han Lee Myung-Kyu Han Dong\u00a0Wook Ko and Il\u00a0Hong Suh. 2019. From big to small: Multi-scale local planar guidance for monocular depth estimation. arXiv preprint arXiv:1907.10326(2019)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00062"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33676-9_20"},{"volume-title":"DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR. In International Conference on Intelligent Robots and Systems (IROS).","year":"2020","author":"Battrawy Ramy","key":"e_1_3_2_1_16_1"},{"volume-title":"Combining Stereo Disparity and Optical Flow for Basic Scene Flow. In Commercial Vehicle Technology Symposium (CVT).","year":"2018","author":"Schuster Ren\u00e9","key":"e_1_3_2_1_17_1"},{"volume-title":"SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. In Winter Conference on Applications of Computer Vision (WACV).","year":"2018","author":"Schuster Ren\u00e9","key":"e_1_3_2_1_18_1"},{"volume-title":"Computer Science in Cars Symposium (CSCS).","year":"2018","author":"Schuster Ren\u00e9","key":"e_1_3_2_1_19_1"},{"volume-title":"SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. In Winter Conference on Applications of Computer Vision (WACV).","year":"2020","author":"Schuster Ren\u00e9","key":"e_1_3_2_1_20_1"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00931"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00012"},{"key":"e_1_3_2_1_23_1","unstructured":"Sundar Vedula Peter Rander Robert Collins and Takeo Kanade. 2005. Three-dimensional scene flow. Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) (2005).  Sundar Vedula Peter Rander Robert Collins and Takeo Kanade. 2005. Three-dimensional scene flow. Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) (2005)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.174"},{"volume-title":"Winter Conference on Applications of Computer Vision (WACV).","year":"2020","author":"Wang Zirui","key":"e_1_3_2_1_25_1"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_56"},{"key":"e_1_3_2_1_27_1","unstructured":"Gengshan Yang and Deva Ramanan. 2019. Volumetric correspondence networks for optical flow. In Advances in Neural Information Processing Systems (NeurIPS).  Gengshan Yang and Deva Ramanan. 2019. Volumetric correspondence networks for optical flow. In Advances in Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00141"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00620"}],"event":{"name":"CSCS '20: Computer Science in Cars Symposium","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Feldkirchen Germany","acronym":"CSCS '20"},"container-title":["Computer Science in Cars Symposium"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3385958.3430473","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3385958.3430473","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:15Z","timestamp":1750197735000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3385958.3430473"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,2]]},"references-count":29,"alternative-id":["10.1145\/3385958.3430473","10.1145\/3385958"],"URL":"https:\/\/doi.org\/10.1145\/3385958.3430473","relation":{},"subject":[],"published":{"date-parts":[[2020,12,2]]}}}