{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:46:35Z","timestamp":1767033995736,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":50,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Nature Science Foundation of China","award":["62072334"],"award-info":[{"award-number":["62072334"]}]},{"name":"National Nature Science Foundation of China","award":["U1803264"],"award-info":[{"award-number":["U1803264"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3547822","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:42:35Z","timestamp":1665416555000},"page":"5990-5998","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Self-Supervised Representation Learning for Skeleton-Based Group Activity Recognition"],"prefix":"10.1145","author":[{"given":"Cunling","family":"Bian","sequence":"first","affiliation":[{"name":"Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Feng","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song","family":"Wang","sequence":"additional","affiliation":[{"name":"University of South Carolina, Columbia, SC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Hirf: Hierarchical random field for collective activity recognition in videos. In ECCV.","author":"Amer Mohamed Rabie","year":"2014","unstructured":"Mohamed Rabie Amer , Peng Lei , and Sinisa Todorovic . 2014 . Hirf: Hierarchical random field for collective activity recognition in videos. In ECCV. Mohamed Rabie Amer, Peng Lei, and Sinisa Todorovic. 2014. Hirf: Hierarchical random field for collective activity recognition in videos. In ECCV."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"crossref","unstructured":"Mohamed R Amer Dan Xie Mingtian Zhao Sinisa Todorovic and Song-Chun Zhu. 2012. Cost-sensitive top-down\/bottom-up inference for multiscale activity recognition. In ECCV.  Mohamed R Amer Dan Xie Mingtian Zhao Sinisa Todorovic and Song-Chun Zhu. 2012. Cost-sensitive top-down\/bottom-up inference for multiscale activity recognition. In ECCV.","DOI":"10.1007\/978-3-642-33765-9_14"},{"key":"e_1_3_2_2_3_1","volume-title":"Pascal Fua, and Silvio Savarese.","author":"Bagautdinov Timur","year":"2017","unstructured":"Timur Bagautdinov , Alexandre Alahi , Francc ois Fleuret , Pascal Fua, and Silvio Savarese. 2017 . Social scene understanding: End-to-end multi-person action localization and collective activity recognition. In CVPR. Timur Bagautdinov, Alexandre Alahi, Francc ois Fleuret, Pascal Fua, and Silvio Savarese. 2017. Social scene understanding: End-to-end multi-person action localization and collective activity recognition. In CVPR."},{"key":"e_1_3_2_2_4_1","unstructured":"Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML.  Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Yuxin Chen Ziqi Zhang Chunfeng Yuan Bing Li Ying Deng and Weiming Hu. 2021. Channel-wise topology refinement graph convolution for skeleton-based action recognition. In ICCV.  Yuxin Chen Ziqi Zhang Chunfeng Yuan Bing Li Ying Deng and Weiming Hu. 2021. Channel-wise topology refinement graph convolution for skeleton-based action recognition. In ICCV.","DOI":"10.1109\/ICCV48922.2021.01311"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Ke Cheng Yifan Zhang Xiangyu He Weihan Chen Jian Cheng and Hanqing Lu. 2020. Skeleton-based action recognition with shift graph convolutional network. In CVPR.  Ke Cheng Yifan Zhang Xiangyu He Weihan Chen Jian Cheng and Hanqing Lu. 2020. Skeleton-based action recognition with shift graph convolutional network. In CVPR.","DOI":"10.1109\/CVPR42600.2020.00026"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.220"},{"key":"e_1_3_2_2_8_1","volume-title":"ICCV workshop.","author":"Choi Wongun","year":"2009","unstructured":"Wongun Choi , Khuram Shahid , and Silvio Savarese . 2009 . What are they doing?: Collective activity classification using spatio-temporal relationship among people . In ICCV workshop. Wongun Choi, Khuram Shahid, and Silvio Savarese. 2009. What are they doing?: Collective activity classification using spatio-temporal relationship among people. In ICCV workshop."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Wongun Choi Khuram Shahid and Silvio Savarese. 2011. Learning context for collective activity recognition. In CVPR.  Wongun Choi Khuram Shahid and Silvio Savarese. 2011. Learning context for collective activity recognition. In CVPR.","DOI":"10.1109\/CVPR.2011.5995707"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Carl Doersch Abhinav Gupta and Alexei A Efros. 2015. Unsupervised visual representation learning by context prediction. In ICCV.  Carl Doersch Abhinav Gupta and Alexei A Efros. 2015. Unsupervised visual representation learning by context prediction. In ICCV.","DOI":"10.1109\/ICCV.2015.167"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Kirill Gavrilyuk Ryan Sanford Mehrsan Javan and Cees GM Snoek. 2020. Actor-transformers for group activity recognition. In CVPR.  Kirill Gavrilyuk Ryan Sanford Mehrsan Javan and Cees GM Snoek. 2020. Actor-transformers for group activity recognition. In CVPR.","DOI":"10.1109\/CVPR42600.2020.00092"},{"key":"e_1_3_2_2_12_1","unstructured":"Tianyu Guo Hong Liu Zhan Chen Mengyuan Liu Tao Wang and Runwei Ding. 2022. Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition. In AAAI.  Tianyu Guo Hong Liu Zhan Chen Mengyuan Liu Tao Wang and Runwei Ding. 2022. Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition. In AAAI."},{"key":"e_1_3_2_2_13_1","unstructured":"William L Hamilton Rex Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NIPS.  William L Hamilton Rex Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NIPS."},{"key":"e_1_3_2_2_14_1","unstructured":"Guyue Hu Bo Cui Yuan He and Shan Yu. 2020. Progressive relation learning for group activity recognition. In CVPR.  Guyue Hu Bo Cui Yuan He and Shan Yu. 2020. Progressive relation learning for group activity recognition. In CVPR."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Mostafa S Ibrahim Srikanth Muralidharan Zhiwei Deng Arash Vahdat and Greg Mori. 2016. A hierarchical deep temporal model for group activity recognition. In CVPR.  Mostafa S Ibrahim Srikanth Muralidharan Zhiwei Deng Arash Vahdat and Greg Mori. 2016. A hierarchical deep temporal model for group activity recognition. In CVPR.","DOI":"10.1109\/CVPR.2016.217"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"crossref","unstructured":"Dinesh Jayaraman and Kristen Grauman. 2015. Learning image representations tied to ego-motion. In ICCV.  Dinesh Jayaraman and Kristen Grauman. 2015. Learning image representations tied to ego-motion. In ICCV.","DOI":"10.1109\/ICCV.2015.166"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Dahun Kim Donghyeon Cho and In So Kweon. 2019. Self-supervised video representation learning with space-time cubic puzzles. In AAAI.  Dahun Kim Donghyeon Cho and In So Kweon. 2019. Self-supervised video representation learning with space-time cubic puzzles. In AAAI.","DOI":"10.1609\/aaai.v33i01.33018545"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Alexander Kolesnikov Xiaohua Zhai and Lucas Beyer. 2019. Revisiting self-supervised visual representation learning. CVPR.  Alexander Kolesnikov Xiaohua Zhai and Lucas Beyer. 2019. Revisiting self-supervised visual representation learning. CVPR.","DOI":"10.1109\/CVPR.2019.00202"},{"key":"e_1_3_2_2_19_1","unstructured":"Nikos Komodakis and Spyros Gidaris. 2018. Unsupervised representation learning by predicting image rotations. In ICLR.  Nikos Komodakis and Spyros Gidaris. 2018. Unsupervised representation learning by predicting image rotations. In ICLR."},{"key":"e_1_3_2_2_20_1","unstructured":"Bruno Korbar Du Tran and Lorenzo Torresani. 2018. Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. In NIPS.  Bruno Korbar Du Tran and Lorenzo Torresani. 2018. Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. In NIPS."},{"key":"e_1_3_2_2_21_1","volume-title":"OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association. arXiv preprint arXiv:2103.02440","author":"Kreiss Sven","year":"2021","unstructured":"Sven Kreiss , Lorenzo Bertoni , and Alexandre Alahi . 2021. OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association. arXiv preprint arXiv:2103.02440 ( 2021 ). Sven Kreiss, Lorenzo Bertoni, and Alexandre Alahi. 2021. OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association. arXiv preprint arXiv:2103.02440 (2021)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Tian Lan Leonid Sigal and Greg Mori. 2012. Social roles in hierarchical models for human activity recognition. In CVPR.  Tian Lan Leonid Sigal and Greg Mori. 2012. Social roles in hierarchical models for human activity recognition. In CVPR.","DOI":"10.1109\/CVPR.2012.6247821"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.228"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"Linguo Li Minsi Wang Bingbing Ni Hang Wang Jiancheng Yang and Wenjun Zhang. 2021b. 3d human action representation learning via cross-view consistency pursuit. In CVPR.  Linguo Li Minsi Wang Bingbing Ni Hang Wang Jiancheng Yang and Wenjun Zhang. 2021b. 3d human action representation learning via cross-view consistency pursuit. In CVPR.","DOI":"10.1109\/CVPR46437.2021.00471"},{"key":"e_1_3_2_2_25_1","unstructured":"Shuaicheng Li Qianggang Cao Lingbo Liu Kunlin Yang Shinan Liu Jun Hou and Shuai Yi. 2021a. GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. In ICCV.  Shuaicheng Li Qianggang Cao Lingbo Liu Kunlin Yang Shinan Liu Jun Hou and Shuai Yi. 2021a. GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. In ICCV."},{"key":"e_1_3_2_2_26_1","unstructured":"Lilang Lin Sijie Song Wenhan Yang and Jiaying Liu. 2020. MS2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition. In ACM MM.  Lilang Lin Sijie Song Wenhan Yang and Jiaying Liu. 2020. MS2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition. In ACM MM."},{"key":"e_1_3_2_2_27_1","volume-title":"Ntu rgb d 120: A large-scale benchmark for 3d human activity understanding","author":"Liu Jun","year":"2019","unstructured":"Jun Liu , Amir Shahroudy , Mauricio Perez , Gang Wang , Ling-Yu Duan , and Alex C Kot . 2019. Ntu rgb d 120: A large-scale benchmark for 3d human activity understanding . IEEE transactions on pattern analysis and machine intelligence, Vol. 42 , 10 ( 2019 ), 2684--2701. Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, and Alex C Kot. 2019. Ntu rgb d 120: A large-scale benchmark for 3d human activity understanding. IEEE transactions on pattern analysis and machine intelligence, Vol. 42, 10 (2019), 2684--2701."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Aravindh Mahendran James Thewlis and Andrea Vedaldi. 2018. Cross pixel optical-flow similarity for self-supervised learning. In ACCV.  Aravindh Mahendran James Thewlis and Andrea Vedaldi. 2018. Cross pixel optical-flow similarity for self-supervised learning. In ACCV.","DOI":"10.1007\/978-3-030-20873-8_7"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Mehdi Noroozi and Paolo Favaro. 2016. Unsupervised learning of visual representations by solving jigsaw puzzles. In ECCV.  Mehdi Noroozi and Paolo Favaro. 2016. Unsupervised learning of visual representations by solving jigsaw puzzles. In ECCV.","DOI":"10.1007\/978-3-319-46466-4_5"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Mehdi Noroozi Hamed Pirsiavash and Paolo Favaro. 2017. Representation learning by learning to count. In ICCV.  Mehdi Noroozi Hamed Pirsiavash and Paolo Favaro. 2017. Representation learning by learning to count. In ICCV.","DOI":"10.1109\/ICCV.2017.628"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell and Alexei A Efros. 2016. Context encoders: Feature learning by inpainting. In CVPR.  Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell and Alexei A Efros. 2016. Context encoders: Feature learning by inpainting. In CVPR.","DOI":"10.1109\/CVPR.2016.278"},{"key":"e_1_3_2_2_32_1","unstructured":"Senthil Purushwalkam Shiva Prakash and Abhinav Gupta. 2020. Demystifying Contrastive Self-Supervised Learning: Invariances Augmentations and Dataset Biases. In NIPS.  Senthil Purushwalkam Shiva Prakash and Abhinav Gupta. 2020. Demystifying Contrastive Self-Supervised Learning: Invariances Augmentations and Dataset Biases. In NIPS."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","unstructured":"Lei Shi Yifan Zhang Jian Cheng and Hanqing Lu. 2019a. Skeleton-based action recognition with directed graph neural networks. In CVPR.  Lei Shi Yifan Zhang Jian Cheng and Hanqing Lu. 2019a. Skeleton-based action recognition with directed graph neural networks. In CVPR.","DOI":"10.1109\/CVPR.2019.00810"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Lei Shi Yifan Zhang Jian Cheng and Hanqing Lu. 2019b. Two-stream adaptive graph convolutional networks for skeleton-based action recognition. In CVPR.  Lei Shi Yifan Zhang Jian Cheng and Hanqing Lu. 2019b. Two-stream adaptive graph convolutional networks for skeleton-based action recognition. In CVPR.","DOI":"10.1109\/CVPR.2019.01230"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Tianmin Shu Dan Xie Brandon Rothrock Sinisa Todorovic and Song Chun Zhu. 2015. Joint inference of groups events and human roles in aerial videos. In CVPR.  Tianmin Shu Dan Xie Brandon Rothrock Sinisa Todorovic and Song Chun Zhu. 2015. Joint inference of groups events and human roles in aerial videos. In CVPR.","DOI":"10.1109\/CVPR.2015.7299088"},{"key":"e_1_3_2_2_36_1","volume-title":"Hierarchical long short-term concurrent memory for human interaction recognition. PAMI","author":"Shu Xiangbo","year":"2019","unstructured":"Xiangbo Shu , Jinhui Tang , Guojun Qi , Wei Liu , and Jian Yang . 2019. Hierarchical long short-term concurrent memory for human interaction recognition. PAMI ( 2019 ), 1110 -- 1118. Xiangbo Shu, Jinhui Tang, Guojun Qi, Wei Liu, and Jian Yang. 2019. Hierarchical long short-term concurrent memory for human interaction recognition. PAMI (2019), 1110 -- 1118."},{"key":"e_1_3_2_2_37_1","volume-title":"Host-parasite: Graph LSTM-in-LSTM for group activity recognition. PAMI","author":"Shu Xiangbo","year":"2020","unstructured":"Xiangbo Shu , Liyan Zhang , Yunlian Sun , and Jinhui Tang . 2020 . Host-parasite: Graph LSTM-in-LSTM for group activity recognition. PAMI (2020), 663 -- 674. Xiangbo Shu, Liyan Zhang, Yunlian Sun, and Jinhui Tang. 2020. Host-parasite: Graph LSTM-in-LSTM for group activity recognition. PAMI (2020), 663 -- 674."},{"key":"e_1_3_2_2_38_1","unstructured":"Nitish Srivastava Elman Mansimov and Ruslan Salakhudinov. 2015. Unsupervised learning of video representations using lstms. In ICML.  Nitish Srivastava Elman Mansimov and Ruslan Salakhudinov. 2015. Unsupervised learning of video representations using lstms. In ICML."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"crossref","unstructured":"Kun Su Xiulong Liu and Eli Shlizerman. 2020. Predict & cluster: Unsupervised skeleton based action recognition. In CVPR.  Kun Su Xiulong Liu and Eli Shlizerman. 2020. Predict & cluster: Unsupervised skeleton based action recognition. In CVPR.","DOI":"10.1109\/CVPR42600.2020.00965"},{"key":"e_1_3_2_2_40_1","article-title":"Visualizing data using t-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of machine learning research , Vol. 9 , 11 (2008). Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research, Vol. 9, 11 (2008).","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_41_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Petar Velivc","year":"2017","unstructured":"Petar Velivc kovi\u0107, Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 ( 2017 ). Petar Velivc kovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)."},{"key":"e_1_3_2_2_42_1","unstructured":"Carl Vondrick Hamed Pirsiavash and Antonio Torralba. 2016. Generating videos with scene dynamics. In NIPS.  Carl Vondrick Hamed Pirsiavash and Antonio Torralba. 2016. Generating videos with scene dynamics. In NIPS."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","unstructured":"Carl Vondrick Abhinav Shrivastava Alireza Fathi Sergio Guadarrama and Kevin Murphy. 2018. Tracking emerges by colorizing videos. In ECCV.  Carl Vondrick Abhinav Shrivastava Alireza Fathi Sergio Guadarrama and Kevin Murphy. 2018. Tracking emerges by colorizing videos. In ECCV.","DOI":"10.1007\/978-3-030-01261-8_24"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Minsi Wang Bingbing Ni and Xiaokang Yang. 2017. Recurrent modeling of interaction context for collective activity recognition. In CVPR.  Minsi Wang Bingbing Ni and Xiaokang Yang. 2017. Recurrent modeling of interaction context for collective activity recognition. In CVPR.","DOI":"10.1109\/CVPR.2017.783"},{"key":"e_1_3_2_2_45_1","unstructured":"Donglai Wei Joseph J Lim Andrew Zisserman and William T Freeman. 2018. Learning and using the arrow of time. In CVPR.  Donglai Wei Joseph J Lim Andrew Zisserman and William T Freeman. 2018. Learning and using the arrow of time. In CVPR."},{"key":"e_1_3_2_2_46_1","unstructured":"Jianchao Wu Limin Wang Li Wang Jie Guo and Gangshan Wu. 2019. Learning actor relation graphs for group activity recognition. In CVPR.  Jianchao Wu Limin Wang Li Wang Jie Guo and Gangshan Wu. 2019. Learning actor relation graphs for group activity recognition. In CVPR."},{"key":"e_1_3_2_2_47_1","volume-title":"HiGCIN: Hierarchical Graph-based Cross Inference Network for Group Activity Recognition. PAMI","author":"Yan Rui","year":"2020","unstructured":"Rui Yan , Lingxi Xie , Jinhui Tang , Xiangbo Shu , and Qi Tian . 2020. HiGCIN: Hierarchical Graph-based Cross Inference Network for Group Activity Recognition. PAMI ( 2020 ), 1--1. Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, and Qi Tian. 2020. HiGCIN: Hierarchical Graph-based Cross Inference Network for Group Activity Recognition. PAMI (2020), 1--1."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"crossref","unstructured":"Sijie Yan Yuanjun Xiong and Dahua Lin. 2018. Spatial temporal graph convolutional networks for skeleton-based action recognition. In AAAI.  Sijie Yan Yuanjun Xiong and Dahua Lin. 2018. Spatial temporal graph convolutional networks for skeleton-based action recognition. In AAAI.","DOI":"10.1609\/aaai.v32i1.12328"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","unstructured":"Richard Zhang Phillip Isola and Alexei A Efros. 2016. Colorful image colorization. In ECCV.  Richard Zhang Phillip Isola and Alexei A Efros. 2016. Colorful image colorization. In ECCV.","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"crossref","unstructured":"Richard Zhang Phillip Isola and Alexei A Efros. 2017. Split-brain autoencoders: Unsupervised learning by cross-channel prediction. In CVPR.  Richard Zhang Phillip Isola and Alexei A Efros. 2017. Split-brain autoencoders: Unsupervised learning by cross-channel prediction. In CVPR.","DOI":"10.1109\/CVPR.2017.76"}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Lisboa Portugal","acronym":"MM '22"},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547822","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3547822","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:35Z","timestamp":1750186955000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547822"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":50,"alternative-id":["10.1145\/3503161.3547822","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3547822","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}