{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T01:41:05Z","timestamp":1774489265302,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Ministry of Science and Technology, Taiwan","award":["MOST-109-2221-E-009-114-MY3, MOST-109-2634-F-009-018, MOST-109-2223-E-009-002-MY3, MOST-109-2218-E-009-025, MOST-109-2634-F-007-013, MOST-109-2218-E-002-015, MOST-108-2218-E-002-055"],"award-info":[{"award-number":["MOST-109-2221-E-009-114-MY3, MOST-109-2634-F-009-018, MOST-109-2223-E-009-002-MY3, MOST-109-2218-E-009-025, MOST-109-2634-F-007-013, MOST-109-2218-E-002-015, MOST-108-2218-E-002-055"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413602","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T13:12:00Z","timestamp":1602508320000},"page":"202-210","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["Trajectory Prediction in Heterogeneous Environment via Attended Ecology Embedding"],"prefix":"10.1145","author":[{"given":"Wei-Cheng","family":"Lai","sequence":"first","affiliation":[{"name":"National Chiao Tung University, Hsinchu, Taiwan Roc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zi-Xiang","family":"Xia","sequence":"additional","affiliation":[{"name":"CyberLink, Xinbei, Taiwan Roc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao-Siang","family":"Lin","sequence":"additional","affiliation":[{"name":"National Chiao Tung University, Hsinchu, Taiwan Roc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lien-Feng","family":"Hsu","sequence":"additional","affiliation":[{"name":"National Chiao Tung University, Hsinchu, Taiwan Roc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong-Han","family":"Shuai","sequence":"additional","affiliation":[{"name":"National Chiao Tung University, Hsinchu, Taiwan Roc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I-Hong","family":"Jhuo","sequence":"additional","affiliation":[{"name":"IBM, San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen-Huang","family":"Cheng","sequence":"additional","affiliation":[{"name":"National Chiao Tung University, Hsinchu, Taiwan Roc"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"2019. Waymo Open Dataset: An autonomous driving dataset.  2019. Waymo Open Dataset: An autonomous driving dataset."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.283"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00359"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354203"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00868"},{"key":"e_1_3_2_2_7_1","volume-title":"TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) .","author":"Chandra Rohan","year":"2019","unstructured":"Rohan Chandra , Uttaran Bhattacharya , Aniket Bera , and Dinesh Manocha . 2019 b . TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha. 2019 b. TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ."},{"key":"e_1_3_2_2_8_1","volume-title":"RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs. In ACM Computer Science in Cars Symposium. 1--9.","author":"Chandra Rohan","year":"2019","unstructured":"Rohan Chandra , Uttaran Bhattacharya , Christian Roncal , Aniket Bera , and Dinesh Manocha . 2019 c . RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs. In ACM Computer Science in Cars Symposium. 1--9. Rohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, and Dinesh Manocha. 2019 c. RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs. In ACM Computer Science in Cars Symposium. 1--9."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00196"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"e_1_3_2_2_12_1","volume-title":"Social force model for pedestrian dynamics. Physical review E","author":"Helbing Dirk","year":"1995","unstructured":"Dirk Helbing and Peter Molnar . 1995. Social force model for pedestrian dynamics. Physical review E , Vol. 51 , 5 ( 1995 ), 4282. Dirk Helbing and Peter Molnar. 1995. Social force model for pedestrian dynamics. Physical review E, Vol. 51, 5 (1995), 4282."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00141"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487409"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33765-9_15"},{"key":"e_1_3_2_2_17_1","volume-title":"Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks. In Advances in Neural Information Processing Systems. 137--146.","author":"Kosaraju Vineet","year":"2019","unstructured":"Vineet Kosaraju , Amir Sadeghian , Roberto Mart'in-Mart'in , Ian Reid , Hamid Rezatofighi , and Silvio Savarese . 2019 . Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks. In Advances in Neural Information Processing Systems. 137--146. Vineet Kosaraju, Amir Sadeghian, Roberto Mart'in-Mart'in, Ian Reid, Hamid Rezatofighi, and Silvio Savarese. 2019. Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks. In Advances in Neural Information Processing Systems. 137--146."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.233"},{"key":"e_1_3_2_2_19_1","volume-title":"Computer graphics forum","author":"Lerner Alon","unstructured":"Alon Lerner , Yiorgos Chrysanthou , and Dani Lischinski . 2007. Crowds by example . In Computer graphics forum , Vol. 26 . Wiley Online Library , 655--664. Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski. 2007. Crowds by example. In Computer graphics forum, Vol. 26. Wiley Online Library, 655--664."},{"key":"e_1_3_2_2_20_1","volume-title":"DSFD: Dual Shot Face Detector. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) .","author":"Li Jian","year":"2019","unstructured":"Jian Li , Yabiao Wang , Changan Wang , Ying Tai , Jianjun Qian , Jian Yang , Chengjie Wang , Jilin Li , and Feiyue Huang . 2019 . DSFD: Dual Shot Face Detector. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Jilin Li, and Feiyue Huang. 2019. DSFD: Dual Shot Face Detector. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00587"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016120"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539872"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2015.7225707"},{"key":"e_1_3_2_2_26_1","volume-title":"Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction. CVPR","author":"Mohamed Abduallah","year":"2020","unstructured":"Abduallah Mohamed , Kun Qian , Mohamed Elhoseiny , and Christian Claudel . 2020. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction. CVPR ( 2020 ). Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny, and Christian Claudel. 2020. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction. CVPR (2020)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15549-9_33"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759329"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_33"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_10"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"e_1_3_2_2_33_1","volume-title":"Article arXiv:1409.1556 (Sep","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv e-prints , Article arXiv:1409.1556 (Sep 2014 ), arXiv:1409.1556 pages. arxiv: 1409.1556 [cs.CV] Karen Simonyan and Andrew Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv e-prints, Article arXiv:1409.1556 (Sep 2014), arXiv:1409.1556 pages. arxiv: 1409.1556 [cs.CV]"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.416"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995468"},{"key":"e_1_3_2_2_37_1","volume-title":"Pedestrian behavior modeling from stationary crowds with applications to intelligent surveillance","author":"Yi Shuai","year":"2016","unstructured":"Shuai Yi , Hongsheng Li , and Xiaogang Wang . 2016. Pedestrian behavior modeling from stationary crowds with applications to intelligent surveillance . IEEE transactions on image processing, Vol. 25 , 9 ( 2016 ), 4354--4368. Shuai Yi, Hongsheng Li, and Xiaogang Wang. 2016. Pedestrian behavior modeling from stationary crowds with applications to intelligent surveillance. IEEE transactions on image processing, Vol. 25, 9 (2016), 4354--4368."},{"key":"e_1_3_2_2_38_1","volume-title":"Self-attention generative adversarial networks. arXiv preprint arXiv:1805.08318","author":"Zhang Han","year":"2018","unstructured":"Han Zhang , Ian Goodfellow , Dimitris Metaxas , and Augustus Odena . 2018. Self-attention generative adversarial networks. arXiv preprint arXiv:1805.08318 ( 2018 ). Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena. 2018. Self-attention generative adversarial networks. arXiv preprint arXiv:1805.08318 (2018)."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01236"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0735-3"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351040"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2009.5354147"}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","location":"Seattle WA USA","acronym":"MM '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413602","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413602","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:14Z","timestamp":1750193234000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413602"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":42,"alternative-id":["10.1145\/3394171.3413602","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413602","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}