{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T16:57:35Z","timestamp":1784912255166,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":83,"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"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1145\/3474085.3475458","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T06:09:05Z","timestamp":1634537345000},"page":"3133-3142","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":75,"title":["Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning"],"prefix":"10.1145","author":[{"given":"Bi'an","family":"Du","sequence":"first","affiliation":[{"name":"Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Gao","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Hu","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Li","sequence":"additional","affiliation":[{"name":"West Virginia University, Morgantown, WV, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Conference on Machine Learning (ICML). PMLR, 40--49","author":"Achlioptas Panos","year":"2018"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201301"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455679"},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning (ICML). 609--618","author":"Bojchevski Aleksandar","year":"2018"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"e_1_3_2_1_6_1","volume-title":"Eurographics.","author":"Chen D."},{"key":"e_1_3_2_1_7_1","volume-title":"International Conference on Machine Learning. PMLR, 1597--1607","author":"Chen Ting","year":"2020"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/s18051641"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045705"},{"key":"e_1_3_2_1_10_1","volume-title":"MolGAN: An implicit generative model for small molecular graphs. arXiv preprint arXiv:1805.11973","author":"Cao Nicola De","year":"2018"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_37"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045590"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/mnras\/stv632"},{"key":"e_1_3_2_1_14_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Donahue Jeff","year":"2017"},{"key":"e_1_3_2_1_15_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Dumoulin Vincent","year":"2017"},{"key":"e_1_3_2_1_16_1","volume-title":"2020 IEEE International Conference on Robotics and Automation (ICRA).","author":"Engelmann F."},{"key":"e_1_3_2_1_17_1","volume-title":"3D Roto-Translation Equivariant Attention Networks. arXiv preprint arXiv:2006.10503","author":"Fuchs Fabian B","year":"2020"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_28"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_7"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"M. Gadelha R. Wang and S. Maji. 2018. Multiresolution Tree Networks for 3D Point Cloud Processing. (2018).  M. Gadelha R. Wang and S. Maji. 2018. Multiresolution Tree Networks for 3D Point Cloud Processing. (2018).","DOI":"10.1007\/978-3-030-01234-2_7"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00719"},{"key":"e_1_3_2_1_22_1","volume-title":"Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations. arXiv preprint arXiv:2103.00787","author":"Gao Xiang","year":"2021"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969110"},{"key":"e_1_3_2_1_24_1","volume-title":"European Conference on Computer Vision.","author":"Girdhar R."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"e_1_3_2_1_26_1","volume-title":"Computer Graphics Forum","author":"Guerrero Paul"},{"key":"e_1_3_2_1_27_1","volume-title":"PCT: Point Cloud Transformer. arXiv preprint arXiv:2012.09688","author":"Guo Meng-Hao","year":"2020"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01054"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00825"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/2029556.2029562"},{"key":"e_1_3_2_1_32_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Hjelm R Devon","year":"2018"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00113"},{"key":"e_1_3_2_1_34_1","volume-title":"Noe Pion, Philippe Weinzaepfel, and Diane Larlus.","author":"Kalantidis Yannis","year":"2020"},{"key":"e_1_3_2_1_35_1","volume-title":"Fahad Shahbaz Khan, and Mubarak Shah.","author":"Khan Salman","year":"2021"},{"key":"e_1_3_2_1_36_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014"},{"key":"e_1_3_2_1_37_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Kingma Diederik P","year":"2014"},{"key":"e_1_3_2_1_38_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Kipf Thomas N","year":"2017"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.99"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/882370.882392"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00021"},{"key":"e_1_3_2_1_42_1","unstructured":"Jan Eric Lenssen Matthias Fey and Pascal Libuschewski. 2018. Group equivariant capsule networks. In Neural Information Processing Systems (NeurIPS). 8844--8853.  Jan Eric Lenssen Matthias Fey and Pascal Libuschewski. 2018. Group equivariant capsule networks. In Neural Information Processing Systems (NeurIPS). 8844--8853."},{"key":"e_1_3_2_1_43_1","volume-title":"International Conference on Learning Representations Workshop.","author":"Li Chun-Liang","year":"2019"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00979"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.5555\/3326943.3327020"},{"key":"e_1_3_2_1_46_1","volume-title":"Learning deep generative models of graphs. arXiv preprint arXiv:1803.03324","author":"Li Yujia","year":"2018"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350960"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00910"},{"key":"e_1_3_2_1_50_1","volume-title":"Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748","author":"van den Oord Aaron","year":"2018"},{"key":"e_1_3_2_1_51_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 652--660","author":"Qi Charles R","year":"2017"},{"key":"e_1_3_2_1_52_1","unstructured":"Charles Ruizhongtai Qi Li Yi Hao Su and Leonidas J Guibas. 2017. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. In Advances in Neural Information Processing Systems (NIPS). 5099--5108.  Charles Ruizhongtai Qi Li Yi Hao Su and Leonidas J Guibas. 2017. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. In Advances in Neural Information Processing Systems (NIPS). 5099--5108."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00822"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00542"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.5555\/3104482.3104587"},{"key":"e_1_3_2_1_56_1","unstructured":"J. Robinson C. Y. Chuang S. Sra and S. Jegelka. 2020. Contrastive Learning with Hard Negative Samples. (2020).  J. Robinson C. Y. Chuang S. Sra and S. Jegelka. 2020. Contrastive Learning with Hard Negative Samples. (2020)."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_37"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455448"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"crossref","unstructured":"A. Sharma O. Grau and M. Fritz. 2016. VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. Springer Cham (2016).  A. Sharma O. Grau and M. Fritz. 2016. VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. Springer Cham (2016).","DOI":"10.1007\/978-3-319-49409-8_20"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093430"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240621"},{"key":"e_1_3_2_1_62_1","volume-title":"MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds. CoRR abs\/1904.00230","author":"Thabet Ali K.","year":"2019"},{"key":"e_1_3_2_1_63_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Valsesia Diego","year":"2018"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_4"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00055"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157096.3157106"},{"key":"e_1_3_2_1_70_1","volume-title":"Conditional Negative Sampling for Contrastive Learning of Visual Representations. arXiv preprint arXiv:2010.02037","author":"Wu Mike","year":"2020"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00985"},{"key":"e_1_3_2_1_72_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1912--1920","author":"Wu Zhirong","year":"2015"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_34"},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"crossref","unstructured":"Heng Yang and Luca Carlone. 2019. A polynomial-time solution for robust registration with extreme outlier rates. In Robotics: Science and Systems XV.  Heng Yang and Luca Carlone. 2019. A polynomial-time solution for robust registration with extreme outlier rates. In Robotics: Science and Systems XV.","DOI":"10.15607\/RSS.2019.XV.003"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00029"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403218"},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980238"},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.697"},{"key":"e_1_3_2_1_79_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning (ICML). 5694--5703","author":"You Jiaxuan","year":"2018"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00265"},{"key":"e_1_3_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2019.00051"},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462291"},{"key":"e_1_3_2_1_83_1","volume-title":"Point transformer. arXiv preprint arXiv:2012.09164","author":"Zhao Hengshuang","year":"2020"},{"key":"e_1_3_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00110"}],"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\/3474085.3475458","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3475458","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:33Z","timestamp":1750193313000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475458"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":83,"alternative-id":["10.1145\/3474085.3475458","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3475458","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"}}]}}