{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:25Z","timestamp":1750220245253,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T00:00:00Z","timestamp":1637280000000},"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":[[2021,11,19]]},"DOI":"10.1145\/3503961.3503978","type":"proceedings-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T22:04:56Z","timestamp":1646777096000},"page":"104-109","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Attention-based Multi-View Stereo Network"],"prefix":"10.1145","author":[{"given":"Liufeng","family":"Chen","sequence":"first","affiliation":[{"name":"College of Informatics, Huazhong Agricultural University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruifang","family":"Zhai","sequence":"additional","affiliation":[{"name":"College of Informatics, Huazhong Agricultural University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Informatics, Huazhong Agricultural University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wanneng","family":"Yang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, China and College of Plant Science&amp;Technology, Huazhong Agricultural University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,3,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.59"},{"key":"e_1_3_2_1_2_1","volume-title":"European Conference on Computer Vision (ECCV). Springer","author":"Schnberger J L","year":"2016","unstructured":"Schnberger J L , Zheng E , Pollefeys M , Pixelwise View Selection for Unstructured Multi-View Stereo[C]\/\/ European Conference on Computer Vision (ECCV). Springer , Cham , 2016 . Schnberger J L , Zheng E , Pollefeys M , Pixelwise View Selection for Unstructured Multi-View Stereo[C]\/\/ European Conference on Computer Vision (ECCV). Springer, Cham, 2016."},{"key":"e_1_3_2_1_3_1","volume-title":"IEEE","author":"Huang P H","year":"2018","unstructured":"Huang P H , Matzen K , Kopf J , DeepMVS : Learning Multi-view Stereopsis[C]\/\/ 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE , 2018 . Huang P H , Matzen K , Kopf J , DeepMVS: Learning Multi-view Stereopsis[C]\/\/ 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2018."},{"key":"e_1_3_2_1_4_1","first-page":"767","article-title":"Depth inference for unstructured multi-view stereo.In","volume":"2018","author":"Yao Yao","year":"2018","unstructured":"Yao Yao , Zixin Luo , Shiwei Li , Tian Fang , and Long Quan .Mvsnet : Depth inference for unstructured multi-view stereo.In ECCV , 2018 , pages 767 \u2013 783 , 2018 . Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan.Mvsnet: Depth inference for unstructured multi-view stereo.In ECCV, 2018, pages 767\u2013783, 2018.","journal-title":"ECCV"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00567"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00162"},{"key":"e_1_3_2_1_7_1","volume-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Gu X","year":"2020","unstructured":"Gu X , Fan Z , Zhu S , Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching[C]\/\/ 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , 2020 . Gu X , Fan Z , Zhu S , Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching[C]\/\/ 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020."},{"key":"e_1_3_2_1_8_1","volume-title":"Pyramid methods in image processinh. RCA engineer","author":"Adelson E. H.","year":"1984","unstructured":"E. H. Adelson , C. H. Anderson , J. R. Bergen , P. J. Burt , and J. M. Ogden . Pyramid methods in image processinh. RCA engineer , 1984 . E. H. Adelson, C. H. Anderson, J. R. Bergen, P. J. Burt, and J. M. Ogden. Pyramid methods in image processinh. RCA engineer, 1984."},{"key":"e_1_3_2_1_9_1","volume-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society","author":"Lin T Y","year":"2017","unstructured":"Lin T Y , Dollar P , Girshick R , Feature Pyramid Networks for Object Detection[C]\/\/ 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society , 2017 . Lin T Y , Dollar P , Girshick R , Feature Pyramid Networks for Object Detection[C]\/\/ 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, 2017."},{"key":"e_1_3_2_1_10_1","volume-title":"PatchmatchNet: Learned Multi-View Patchmatch Stereo[J]","author":"Wang F","year":"2020","unstructured":"Wang F , Galliani S , Vogel C , PatchmatchNet: Learned Multi-View Patchmatch Stereo[J] . 2020 . Wang F , Galliani S , Vogel C , PatchmatchNet: Learned Multi-View Patchmatch Stereo[J]. 2020."},{"key":"e_1_3_2_1_11_1","unstructured":"K. Lasinger S. Galliani and K. Schindler. Massively parallel multiview stereopsis by surface normal diffusion. https: \/\/github.com\/kysucix\/fusibile\/.  K. Lasinger S. Galliani and K. Schindler. Massively parallel multiview stereopsis by surface normal diffusion. https: \/\/github.com\/kysucix\/fusibile\/."},{"key":"e_1_3_2_1_12_1","volume":"2017","author":"Jie H","unstructured":"Jie H , Li S , Gang S , Squeeze-and- Excitation Networks[J] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2017 , PP(99). Jie H , Li S , Gang S , Squeeze-and-Excitation Networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, PP(99).","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_13_1","volume-title":"ICML","author":"Nair V.","year":"2010","unstructured":"V. Nair and G. E. Hinton , \u201c Rectified linear units improve restricted boltzmann machines ,\u201d in ICML , 2010 . V. Nair and G. E. Hinton, \u201cRectified linear units improve restricted boltzmann machines,\u201d in ICML, 2010."},{"key":"e_1_3_2_1_14_1","volume-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society","author":"Lin T Y","year":"2017","unstructured":"Lin T Y , Dollar P , Girshick R , Feature Pyramid Networks for Object Detection[C]\/\/ 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society , 2017 . Lin T Y , Dollar P , Girshick R , Feature Pyramid Networks for Object Detection[C]\/\/ 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, 2017."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073599"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.253"},{"key":"e_1_3_2_1_17_1","volume-title":"IEEE","author":"Yu Z","year":"2020","unstructured":"Yu Z , Gao S . Fast-MVS Net : Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement[C]\/\/ 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE , 2020 . Yu Z , Gao S . Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement[C]\/\/ 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020."},{"key":"e_1_3_2_1_18_1","first-page":"779","volume-title":"ECCV 2008","volume":"5302","author":"Campbell N. D. F.","year":"2008","unstructured":"N. D. F. Campbell , G. Vogiatzis , C. Hern\u00b4 andez, and R. Cipolla , \u201c Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo,\u201d in Computer Vision \u2013 ECCV 2008 , D. Forsyth, P. Torr, and A. Zisserman,Eds. , 2008 , vol. 5302 , pp. 766\u2013 779 N. D. F. Campbell, G. Vogiatzis, C. Hern\u00b4 andez, and R. Cipolla, \u201cUsing Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo,\u201d in Computer Vision \u2013 ECCV 2008, D. Forsyth, P. Torr, and A. Zisserman,Eds., 2008, vol. 5302, pp. 766\u2013779"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.106"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.03.010"},{"volume-title":"Cost","author":"Yang J","key":"e_1_3_2_1_21_1","unstructured":"Yang J , Mao W , Alvarez J M , Cost Volume Pyramid Based Depth Inference for Multi-View Stereo[J]. 2019 . Yang J , Mao W , Alvarez J M , Cost Volume Pyramid Based Depth Inference for Multi-View Stereo[J]. 2019."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.314"},{"key":"e_1_3_2_1_23_1","volume-title":"NeurIPS Workshop","author":"Paszke Adam","year":"2017","unstructured":"Adam Paszke , Sam Gross , Soumith Chintala , Gregory Chanan , Edward Yang , Zachary DeVito , Zeming Lin , Alban Desmaison , Luca Antiga , and Adam Lerer . Automatic differentiation in PyTorch . In NeurIPS Workshop , 2017 . Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. Automatic differentiation in PyTorch. In NeurIPS Workshop, 2017."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.12720\/joig.2.1.83-88"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.12720\/joig.1.2.99-103"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.3.2.107-111"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.6.1.21-26"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.6.1.33-38"}],"event":{"name":"VSIP 2021: 2021 3rd International Conference on Video, Signal and Image Processing","acronym":"VSIP 2021","location":"Wuhan China"},"container-title":["2021 3rd International Conference on Video, Signal and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503961.3503978","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503961.3503978","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:33Z","timestamp":1750188633000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503961.3503978"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,19]]},"references-count":28,"alternative-id":["10.1145\/3503961.3503978","10.1145\/3503961"],"URL":"https:\/\/doi.org\/10.1145\/3503961.3503978","relation":{},"subject":[],"published":{"date-parts":[[2021,11,19]]},"assertion":[{"value":"2022-03-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}