{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:10:46Z","timestamp":1750219846973,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T00:00:00Z","timestamp":1672876800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,1,5]]},"DOI":"10.1145\/3583788.3583813","type":"proceedings-article","created":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T22:12:05Z","timestamp":1685916725000},"page":"168-174","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Self-supervised Depth Completion with Adaptive Online Adaptation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0457-3637","authenticated-orcid":false,"given":"Yang","family":"Chen","sequence":"first","affiliation":[{"name":"Southeast University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4673-9225","authenticated-orcid":false,"given":"Yang","family":"Tan","sequence":"additional","affiliation":[{"name":"Southeast University, China"}]}],"member":"320","published-online":{"date-parts":[[2023,6,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2229264"},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 244\u2013253","author":"Xu Danfei","year":"2018","unstructured":"Danfei Xu , Dragomir Anguelov , and Ashesh Jain . 2018 . Pointfusion: Deep sensor fusion for 3d bounding box estimation . In Proceedings of the IEEE conference on computer vision and pattern recognition. 244\u2013253 . Danfei Xu, Dragomir Anguelov, and Ashesh Jain. 2018. Pointfusion: Deep sensor fusion for 3d bounding box estimation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 244\u2013253."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern Recognition. 5079\u20135088","author":"Moon Gyeongsik","year":"2018","unstructured":"Gyeongsik Moon , Ju Yong Chang , and Kyoung Mu Lee . 2018 . V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map . In Proceedings of the IEEE conference on computer vision and pattern Recognition. 5079\u20135088 . Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee. 2018. V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map. In Proceedings of the IEEE conference on computer vision and pattern Recognition. 5079\u20135088."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2903724"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561035"},{"key":"e_1_3_2_1_6_1","volume-title":"Dynamic Spatial Propagation Network for Depth Completion. arXiv preprint arXiv:2202.09769","author":"Lin Yuankai","year":"2022","unstructured":"Yuankai Lin , Tao Cheng , Qi Zhong , Wending Zhou , and Hua Yang . 2022. Dynamic Spatial Propagation Network for Depth Completion. arXiv preprint arXiv:2202.09769 ( 2022 ). Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, and Hua Yang. 2022. Dynamic Spatial Propagation Network for Depth Completion. arXiv preprint arXiv:2202.09769 (2022)."},{"key":"e_1_3_2_1_7_1","volume-title":"2017 international conference on 3D Vision (3DV). IEEE, 11-20","author":"Schneider Nick","year":"2017","unstructured":"Uhrig, Jonas, Nick Schneider , Lukas Schneider , Uwe Franke , Thomas Brox , and Andreas Geiger . 2017 . Sparsity invariant cnns . In 2017 international conference on 3D Vision (3DV). IEEE, 11-20 . Uhrig, Jonas, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, and Andreas Geiger. 2017. Sparsity invariant cnns. In 2017 international conference on 3D Vision (3DV). IEEE, 11-20."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 9661\u20139670","author":"Tonioni Alessio","year":"2019","unstructured":"Alessio Tonioni , Oscar Rahnama , Thomas Joy , Luigi Di Stefano , Thalaiyasingam Ajanthan , and Philip HS Torr . 2019 a. Learning to adapt for stereo . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 9661\u20139670 . Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, and Philip HS Torr. 2019a. Learning to adapt for stereo. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 9661\u20139670."},{"volume-title":"IJCAI.","author":"Hua Jiashen","key":"e_1_3_2_1_10_1","unstructured":"Jiashen Hua and Xiaojin Gong . 2018. A normalized convolutional neural network for guided sparse depth upsampling .. In IJCAI. Stockholm, Sweden , 2283\u20132290. Jiashen Hua and Xiaojin Gong. 2018. A normalized convolutional neural network for guided sparse depth upsampling.. In IJCAI. Stockholm, Sweden, 2283\u20132290."},{"key":"e_1_3_2_1_11_1","volume-title":"Propagating confidences through cnns for sparse data regression. arXiv preprint arXiv:1805.11913","author":"Eldesokey Abdelrahman","year":"2018","unstructured":"Abdelrahman Eldesokey , Michael Felsberg , and Fahad Shahbaz Khan . 2018. Propagating confidences through cnns for sparse data regression. arXiv preprint arXiv:1805.11913 ( 2018 ). Abdelrahman Eldesokey, Michael Felsberg, and Fahad Shahbaz Khan. 2018. Propagating confidences through cnns for sparse data regression. arXiv preprint arXiv:1805.11913 (2018)."},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"34","author":"Cheng Xinjing","year":"2020","unstructured":"Xinjing Cheng , Peng Wang , Chenye Guan , and Ruigang Yang . 2020 . Cspn++: Learning context and resource aware convolutional spatial propagation networks for depth completion . In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 34 . 10615\u201310622. Xinjing Cheng, Peng Wang, Chenye Guan, and Ruigang Yang. 2020. Cspn++: Learning context and resource aware convolutional spatial propagation networks for depth completion. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34. 10615\u201310622."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV). 103\u2013119","author":"Cheng Xinjing","year":"2018","unstructured":"Xinjing Cheng , Peng Wang , and Ruigang Yang . 2018 . Depth estimation via affinity learned with convolutional spatial propagation network . In Proceedings of the European Conference on Computer Vision (ECCV). 103\u2013119 . Xinjing Cheng, Peng Wang, and Ruigang Yang. 2018. Depth estimation via affinity learned with convolutional spatial propagation network. In Proceedings of the European Conference on Computer Vision (ECCV). 103\u2013119."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3079821"},{"key":"e_1_3_2_1_15_1","volume-title":"2019 International Conference on Robotics and Automation (ICRA). IEEE, 3288\u20133295","author":"Ma Fangchang","year":"2019","unstructured":"Fangchang Ma , Guilherme Venturelli Cavalheiro , and Sertac Karaman . 2019 . Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera . In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 3288\u20133295 . Fangchang Ma, Guilherme Venturelli Cavalheiro, and Sertac Karaman. 2019. Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 3288\u20133295."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2969938"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the Asian Conference on Computer Vision.","author":"Lopez-Rodriguez Adrian","year":"2020","unstructured":"Adrian Lopez-Rodriguez , Benjamin Busam , and Krystian Mikolajczyk . 2020 . Project to adapt: Domain adaptation for depth completion from noisy and sparse sensor data . In Proceedings of the Asian Conference on Computer Vision. Adrian Lopez-Rodriguez, Benjamin Busam, and Krystian Mikolajczyk. 2020. Project to adapt: Domain adaptation for depth completion from noisy and sparse sensor data. In Proceedings of the Asian Conference on Computer Vision."},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 3353\u20133362","author":"Yang Yanchao","year":"2019","unstructured":"Yanchao Yang , Alex Wong , and Stefano Soatto . 2019 . Dense depth posterior (ddp) from single image and sparse range . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 3353\u20133362 . Yanchao Yang, Alex Wong, and Stefano Soatto. 2019. Dense depth posterior (ddp) from single image and sparse range. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 3353\u20133362."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision. 7063\u20137072","author":"Chen Yuhua","year":"2019","unstructured":"Yuhua Chen , Cordelia Schmid , and Cristian Sminchisescu . 2019 . Self-supervised learning with geometric constraints in monocular video: Connecting flow, depth, and camera . In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 7063\u20137072 . Yuhua Chen, Cordelia Schmid, and Cristian Sminchisescu. 2019. Self-supervised learning with geometric constraints in monocular video: Connecting flow, depth, and camera. In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 7063\u20137072."},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 195\u2013204","author":"Tonioni Alessio","year":"2019","unstructured":"Alessio Tonioni , Fabio Tosi , Matteo Poggi , Stefano Mattoccia , and Luigi Di Stefano . 2019 b. Real-time self-adaptive deep stereo . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 195\u2013204 . Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, and Luigi Di Stefano. 2019b. Real-time self-adaptive deep stereo. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 195\u2013204."},{"key":"e_1_3_2_1_21_1","volume-title":"MetaComp: Learning to Adapt for Online Depth Completion. arXiv preprint arXiv:2207.10623","author":"Chen Yang","year":"2022","unstructured":"Yang Chen , Shanshan Zhao , Wei Ji , Mingming Gong , and Liping Xie . 2022. MetaComp: Learning to Adapt for Online Depth Completion. arXiv preprint arXiv:2207.10623 ( 2022 ). Yang Chen, Shanshan Zhao, Wei Ji, Mingming Gong, and Liping Xie. 2022. MetaComp: Learning to Adapt for Online Depth Completion. arXiv preprint arXiv:2207.10623 (2022)."},{"key":"e_1_3_2_1_22_1","volume-title":"Scandinavian conference on image analysis. Springer, 61\u201370","author":"Ahonen Timo","year":"2009","unstructured":"Timo Ahonen , Ji\u02c7r \u0301\u0131 Matas , Chu He , and Matti Pietik \u0308ainen . 2009 . Rotation invariant image description with local binary pattern histogram fourier features . In Scandinavian conference on image analysis. Springer, 61\u201370 . Timo Ahonen, Ji\u02c7r \u0301\u0131 Matas, Chu He, and Matti Pietik \u0308ainen. 2009. Rotation invariant image description with local binary pattern histogram fourier features. In Scandinavian conference on image analysis. Springer, 61\u201370."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"e_1_3_2_1_24_1","volume-title":"Virtual kitti 2. arXiv preprint arXiv:2001.10773","author":"Cabon Yohann","year":"2020","unstructured":"Yohann Cabon , Naila Murray , and Martin Humenberger . 2020. Virtual kitti 2. arXiv preprint arXiv:2001.10773 ( 2020 ). Yohann Cabon, Naila Murray, and Martin Humenberger. 2020. Virtual kitti 2. arXiv preprint arXiv:2001.10773 (2020)."},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 4494\u20134503","author":"Zhang Zhenyu","year":"2020","unstructured":"Zhenyu Zhang , Stephane Lathuiliere , Elisa Ricci , Nicu Sebe , Yan Yan , and Jian Yang . 2020 . Online depth learning against forgetting in monocular videos . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 4494\u20134503 . Zhenyu Zhang, Stephane Lathuiliere, Elisa Ricci, Nicu Sebe, Yan Yan, and Jian Yang. 2020. Online depth learning against forgetting in monocular videos. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 4494\u20134503."}],"event":{"name":"ICMLSC 2023: 2023 The 7th International Conference on Machine Learning and Soft Computing","acronym":"ICMLSC 2023","location":"Chongqing China"},"container-title":["2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583788.3583813","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583788.3583813","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:00Z","timestamp":1750178820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583788.3583813"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,5]]},"references-count":25,"alternative-id":["10.1145\/3583788.3583813","10.1145\/3583788"],"URL":"https:\/\/doi.org\/10.1145\/3583788.3583813","relation":{},"subject":[],"published":{"date-parts":[[2023,1,5]]},"assertion":[{"value":"2023-06-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}