{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T08:58:29Z","timestamp":1768813109869,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T00:00:00Z","timestamp":1699833600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["BCS # 2043202"],"award-info":[{"award-number":["BCS # 2043202"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,13]]},"DOI":"10.1145\/3615893.3628759","type":"proceedings-article","created":{"date-parts":[[2023,12,21]],"date-time":"2023-12-21T16:07:42Z","timestamp":1703174862000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A Generative Trajectory Interpolation Method for Imputing Gaps in Wildlife Movement Data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6429-3020","authenticated-orcid":false,"given":"Zijian","family":"Wan","sequence":"first","affiliation":[{"name":"Department of Geography, University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0335-3576","authenticated-orcid":false,"given":"Somayeh","family":"Dodge","sequence":"additional","affiliation":[{"name":"Department of Geography, University of California, Santa Barbara, Santa Barbara, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2016.1224887"},{"key":"e_1_3_2_1_2_1","volume-title":"Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops.","author":"Amirian Javad","year":"2019","unstructured":"Javad Amirian , Jean-Bernard Hayet , Ac M\u00e9xico , and Julien Pettr\u00e9 . 2019 . Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops. Javad Amirian, Jean-Bernard Hayet, Ac M\u00e9xico, and Julien Pettr\u00e9. 2019. Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops."},{"key":"e_1_3_2_1_3_1","unstructured":"Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever and Pieter Abbeel. 2016. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. In Advances in Neural Information Processing Systems 2172--2180. https:\/\/arxiv.org\/abs\/1606.03657..  Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever and Pieter Abbeel. 2016. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. In Advances in Neural Information Processing Systems 2172--2180. https:\/\/arxiv.org\/abs\/1606.03657.."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2013.0195"},{"key":"e_1_3_2_1_5_1","volume-title":"Deep Learning","author":"Goodfellow Ian","unstructured":"Ian Goodfellow , Yoshua Bengio , and Aaron Courville . 2016. Deep Learning . MIT Press . https:\/\/www.deeplearningbook.org\/. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. MIT Press. https:\/\/www.deeplearningbook.org\/."},{"key":"e_1_3_2_1_6_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. http:\/\/www.github.com\/goodfeli\/adversarial.  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. http:\/\/www.github.com\/goodfeli\/adversarial."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2021.109256"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1890\/06-0957.1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2010.12.005"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.l365-2656.2012.01955.x"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1474-919X.1996.tb04768.x"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2015.1081909"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.2005.00575.x"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0800375105"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500658"},{"key":"e_1_3_2_1_19_1","unstructured":"Adam Paszke et al. 2019. PyTorch: An imperative style high-performance deep learning library. Advances in Neural Information Processing Systems 32 NeurIPS 8024--8035.  Adam Paszke et al. 2019. PyTorch: An imperative style high-performance deep learning library. Advances in Neural Information Processing Systems 32 NeurIPS 8024--8035."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108136"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5441\/001\/1.v8d24552"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1111\/1365-2656.12898"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/1365-2656.12525"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2041-210X.2012.00197.x"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2014.999682"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1242\/jeb.01970"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22186997"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1080\/1365881031000135492"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/11827405{\\_}70"}],"event":{"name":"GeoWildLife '23: 1st ACM SIGSPATIAL International Workshop on AI-driven Spatio-temporal Data Analysis for Wildlife Conservation","location":"Hamburg Germany","acronym":"GeoWildLife '23","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 1st ACM SIGSPATIAL International Workshop on AI-driven Spatio-temporal Data Analysis for Wildlife Conservation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615893.3628759","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3615893.3628759","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:28Z","timestamp":1750178188000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615893.3628759"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,13]]},"references-count":30,"alternative-id":["10.1145\/3615893.3628759","10.1145\/3615893"],"URL":"https:\/\/doi.org\/10.1145\/3615893.3628759","relation":{},"subject":[],"published":{"date-parts":[[2023,11,13]]},"assertion":[{"value":"2023-12-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}