{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T11:09:31Z","timestamp":1779361771184,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["61871185"],"award-info":[{"award-number":["61871185"]}]},{"name":"the Key Project of the National Natural Science Foundation of China","award":["61731009"],"award-info":[{"award-number":["61731009"]}]},{"name":"the NSFC-RGC","award":["61961160734"],"award-info":[{"award-number":["61961160734"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1145\/3474085.3475356","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T20:56:12Z","timestamp":1634590572000},"page":"1985-1993","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":63,"title":["Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation"],"prefix":"10.1145","author":[{"given":"Qinyan","family":"Dai","sequence":"first","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juncheng","family":"Li","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiaosi","family":"Yi","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Faming","family":"Fang","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guixu","family":"Zhang","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.90"},{"key":"e_1_3_2_1_2_1","volume-title":"StereoDRNet: Dilated Residual StereoNet. 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Chabra Rohan","year":"2019"},{"key":"e_1_3_2_1_3_1","volume-title":"Pyramid Stereo Matching Network. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Chang Jia-Ren","year":"2018"},{"key":"e_1_3_2_1_4_1","volume-title":"Kaiming He, and X. Tang.","author":"Dong Chao","year":"2014"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2354978"},{"key":"e_1_3_2_1_6_1","volume-title":"Cascade Cost","volume":"2020","author":"Gu X.","year":"2020"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00185"},{"key":"e_1_3_2_1_8_1","volume-title":"End-to-End Learning of Geometry and Context for Deep Stereo Regression. 2017 IEEE International Conference on Computer Vision (ICCV)","author":"Kendall Alex","year":"2017"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"S. Khamis S. Fanello Christoph Rhemann Adarsh Kowdle Julien P. C. Valentin and S. Izadi. 2018. StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction. In ECCV.  S. Khamis S. Fanello Christoph Rhemann Adarsh Kowdle Julien P. C. Valentin and S. Izadi. 2018. StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction. In ECCV.","DOI":"10.1007\/978-3-030-01267-0_35"},{"key":"e_1_3_2_1_10_1","volume-title":"Accurate Image Super-Resolution Using Very Deep Convolutional Networks. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Kim Jiwon","year":"2016"},{"key":"e_1_3_2_1_11_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.43"},{"key":"e_1_3_2_1_13_1","volume-title":"Deep Stereoscopic Image Super-Resolution via Interaction Module","author":"Lei Jianjun","year":"2020"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Ang Li and Zejian Yuan. 2018. Occlusion Aware Stereo Matching via Cooperative Unsupervised Learning. In ACCV.  Ang Li and Zejian Yuan. 2018. Occlusion Aware Stereo Matching via Cooperative Unsupervised Learning. In ACCV.","DOI":"10.1007\/978-3-030-20876-9_13"},{"key":"e_1_3_2_1_15_1","unstructured":"Juncheng Li F. Fang Kangfu Mei and Guixu Zhang. 2018. Multi-scale Residual Network for Image Super-Resolution. In ECCV.  Juncheng Li F. Fang Kangfu Mei and Guixu Zhang. 2018. Multi-scale Residual Network for Image Super-Resolution. In ECCV."},{"key":"e_1_3_2_1_16_1","volume-title":"Feedback Network for Image Super-Resolution. 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Li Z.","year":"2019"},{"key":"e_1_3_2_1_17_1","volume-title":"Learning for Disparity Estimation Through Feature Constancy. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Liang Zhengfa","year":"2018"},{"key":"e_1_3_2_1_18_1","volume-title":"Enhanced Deep Residual Networks for Single Image Super-Resolution. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","author":"Lim Bee","year":"2017"},{"key":"e_1_3_2_1_19_1","volume-title":"Efficient Deep Learning for Stereo Matching. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Luo W.","year":"2016"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"e_1_3_2_1_22_1","volume-title":"Multi-Level Context Ultra-Aggregation for Stereo Matching. 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Nie Guang-Yu","year":"2019"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference","author":"Park Haesol","year":"2012"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2942928"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014573219977"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/3326943.3326992"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Wonil Song S. Choi Somi Jeong and K. Sohn. 2020. Stereoscopic Image Super-Resolution with Stereo Consistent Feature. In AAAI.  Wonil Song S. Choi Somi Jeong and K. Sohn. 2020. Stereoscopic Image Super-Resolution with Stereo Consistent Feature. In AAAI.","DOI":"10.1609\/aaai.v34i07.6880"},{"key":"e_1_3_2_1_28_1","volume-title":"Image Super-Resolution Using Dense Skip Connections. 2017 IEEE International Conference on Computer Vision (ICCV)","author":"Tong T.","year":"2017"},{"key":"e_1_3_2_1_29_1","volume-title":"2020 a. Parallax Attention for Unsupervised Stereo Correspondence Learning","author":"Wang Longguang"},{"key":"e_1_3_2_1_30_1","volume-title":"Learning Parallax Attention for Stereo Image Super-Resolution. 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Wang Longguang","year":"2019"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00478"},{"key":"e_1_3_2_1_32_1","volume-title":"2020 b. Symmetric Parallax Attention for Stereo Image Super-Resolution. ArXiv","author":"Wang Yingqian","year":"2020"},{"key":"e_1_3_2_1_33_1","volume-title":"AANet: Adaptive Aggregation Network for Efficient Stereo Matching. 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","author":"Xu H."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3066125"},{"key":"e_1_3_2_1_35_1","volume-title":"Disparity-Aware Domain Adaptation in Stereo Image Restoration. 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Yan Bo","year":"2020"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Guorun Yang Hengshuang Zhao J. Shi Z. Deng and J. Jia. 2018. SegStereo: Exploiting Semantic Information for Disparity Estimation. In ECCV.  Guorun Yang Hengshuang Zhao J. Shi Z. Deng and J. Jia. 2018. SegStereo: Exploiting Semantic Information for Disparity Estimation. In ECCV.","DOI":"10.1007\/978-3-030-01234-2_39"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2973813"},{"key":"e_1_3_2_1_38_1","volume-title":"GA-Net: Guided Aggregation Net for End-To-End Stereo Matching. 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Zhang F.","year":"2019"},{"key":"e_1_3_2_1_39_1","volume-title":"Residual Dense Network for Image Super-Resolution. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Zhang Yulun","year":"2018"},{"key":"e_1_3_2_1_40_1","volume-title":"Unsupervised Learning of Stereo Matching. 2017 IEEE International Conference on Computer Vision (ICCV)","author":"Zhou Chao","year":"2017"}],"event":{"name":"MM '21: ACM Multimedia Conference","location":"Virtual Event China","acronym":"MM '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 29th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475356","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3475356","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:19Z","timestamp":1750193359000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475356"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":40,"alternative-id":["10.1145\/3474085.3475356","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3475356","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]},"assertion":[{"value":"2021-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}