{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T05:53:15Z","timestamp":1768801995678,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,15]],"date-time":"2019-10-15T00:00:00Z","timestamp":1571097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key Technology R&D Program of China","award":["2012BAH01F03"],"award-info":[{"award-number":["2012BAH01F03"]}]},{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672089, 61273274, 61572064"],"award-info":[{"award-number":["61672089, 61273274, 61572064"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"name":"China Postdoctoral Science Foundation","award":["2019M650469"],"award-info":[{"award-number":["2019M650469"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,15]]},"DOI":"10.1145\/3343031.3351073","type":"proceedings-article","created":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T16:32:26Z","timestamp":1571675546000},"page":"611-619","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":21,"title":["Prediction-CGAN"],"prefix":"10.1145","author":[{"given":"Wanru","family":"Xu","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University &amp; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Yu","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenjiang","family":"Miao","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University &amp; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lili","family":"Wan","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University &amp; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Ji","sequence":"additional","affiliation":[{"name":"Rensselaer Polytechnic Institute, Troy, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,10,15]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.39"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.343"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Jo?o Carreira and Andrew Zisserman. 2017. Quo Vadis Action Recognition? A New Model and the Kinetics Dataset. In Computer Vision and Pattern Recognition. 4724--4733.  Jo?o Carreira and Andrew Zisserman. 2017. Quo Vadis Action Recognition? A New Model and the Kinetics Dataset. In Computer Vision and Pattern Recognition. 4724--4733.","DOI":"10.1109\/CVPR.2017.502"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_26"},{"key":"e_1_3_2_1_5_1","volume-title":"Marginalized Denoising Autoencoders for Domain Adaptation. Computer Science","author":"Chen Minmin","year":"2012"},{"key":"e_1_3_2_1_6_1","volume-title":"IEEE International Conference on Computer Vision. 4489--4497","author":"Du Tran","year":"2015"},{"key":"e_1_3_2_1_7_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0683-3"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487478"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.396"},{"key":"e_1_3_2_1_11_1","volume-title":"Adam: A Method for Stochastic Optimization. Computer Science","author":"Kingma Diederik P","year":"2014"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2491928"},{"key":"e_1_3_2_1_13_1","volume-title":"Human Action Recognition and Prediction: A Survey. arXiv preprint arXiv:1806.11230","author":"Kong Yu","year":"2018"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Yu Kong Shangqian Gao Bin Sun and Yun Fu. 2018. Action Prediction From Videos via Memorizing Hard-to-Predict Samples.. In AAAI .  Yu Kong Shangqian Gao Bin Sun and Yun Fu. 2018. Action Prediction From Videos via Memorizing Hard-to-Predict Samples.. In AAAI .","DOI":"10.1609\/aaai.v32i1.12324"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2303090"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_39"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.390"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_45"},{"key":"e_1_3_2_1_19_1","first-page":"3221","article-title":"Accelerating t-SNE using tree-based algorithms","volume":"15","author":"Maaten Laurens Van Der","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33718-5_21"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00871"},{"key":"e_1_3_2_1_22_1","volume-title":"Learning Activity Progression in LSTMs for Activity Detection and Early Detection. In IEEE Conference on Computer Vision and Pattern Recognition. 1942--1950","author":"Ma Shugao","year":"2016"},{"key":"e_1_3_2_1_23_1","volume-title":"Deep multi-scale video prediction beyond mean square error. arXiv preprint arXiv:1511.05440","author":"Mathieu Michael","year":"2015"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.712"},{"key":"e_1_3_2_1_25_1","volume-title":"International Journal of Computer Vision","author":"Rezazadegan Fahimeh","year":"2018"},{"key":"e_1_3_2_1_26_1","volume-title":"Predictive Learning: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction.","author":"Runsheng Yu","year":"2017"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126349"},{"key":"e_1_3_2_1_28_1","volume-title":"IEEE International Conference on Pattern Recognition Workshops","volume":"2","author":"Ryoo Michael S","year":"2010"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_19"},{"key":"e_1_3_2_1_30_1","first-page":"1","article-title":"Online Localization and Prediction of Actions and Interactions","volume":"99","author":"Soomro Khurram","year":"2016","journal-title":"PP"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.290"},{"key":"e_1_3_2_1_32_1","volume-title":"Amir Roshan Zamir, and Mubarak Shah","author":"Soomro Khurram","year":"2012"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.18"},{"key":"e_1_3_2_1_34_1","volume-title":"Generating the Future with Adversarial Transformers. In IEEE Conference on Computer Vision and Pattern Recognition. 2992--3000","author":"Vondrick Carl","year":"2017"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00158"},{"key":"e_1_3_2_1_36_1","volume-title":"IEEE International Conference on Computer Vision. 3191--3199","author":"Xu Zhen","year":"2016"}],"event":{"name":"MM '19: The 27th ACM International Conference on Multimedia","location":"Nice France","acronym":"MM '19","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 27th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3343031.3351073","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3343031.3351073","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:12Z","timestamp":1750201992000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3343031.3351073"}},"subtitle":["Human Action Prediction with Conditional Generative Adversarial Networks"],"short-title":[],"issued":{"date-parts":[[2019,10,15]]},"references-count":36,"alternative-id":["10.1145\/3343031.3351073","10.1145\/3343031"],"URL":"https:\/\/doi.org\/10.1145\/3343031.3351073","relation":{},"subject":[],"published":{"date-parts":[[2019,10,15]]},"assertion":[{"value":"2019-10-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}