{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T02:35:53Z","timestamp":1768617353043,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":65,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,3,30]],"date-time":"2020-03-30T00:00:00Z","timestamp":1585526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Bundesministerium f\u00fcr Bildung und Forschung (BMBF)","award":["REACT"],"award-info":[{"award-number":["REACT"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,3,30]]},"DOI":"10.1145\/3341105.3373877","type":"proceedings-article","created":{"date-parts":[[2020,3,29]],"date-time":"2020-03-29T12:13:52Z","timestamp":1585484032000},"page":"190-197","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":26,"title":["M2P3"],"prefix":"10.1145","author":[{"given":"Atanas","family":"Poibrenski","sequence":"first","affiliation":[{"name":"German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Klusch","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Igor","family":"Vozniak","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,3,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Shervin Ardeshir and Ali Borji. 2016. Ego2Top: Matching Viewers in Egocentric and Top-view Videos. In ECCV.  Shervin Ardeshir and Ali Borji. 2016. Ego2Top: Matching Viewers in Egocentric and Top-view Videos. In ECCV.","DOI":"10.1007\/978-3-319-46454-1_16"},{"key":"e_1_3_2_1_3_1","volume-title":"Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. 2015 IEEE International Conference on Computer Vision (ICCV) (2015)","author":"Bambach Sven","year":"2015","unstructured":"Sven Bambach , Stefan Lee , David J. Crandall , and Chen Yu . 2015 . Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. 2015 IEEE International Conference on Computer Vision (ICCV) (2015) , 1949--1957. Sven Bambach, Stefan Lee, David J. Crandall, and Chen Yu. 2015. Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. 2015 IEEE International Conference on Computer Vision (ICCV) (2015), 1949--1957."},{"key":"e_1_3_2_1_4_1","volume-title":"Stella X. Yu, and Jianbo Shi.","author":"Bertasius Gedas","year":"2017","unstructured":"Gedas Bertasius , Hyun Soo Park , Stella X. Yu, and Jianbo Shi. 2017 . First-Person Action-Object Detection with EgoNet. ArXiv abs\/1603.04908 (2017). Gedas Bertasius, Hyun Soo Park, Stella X. Yu, and Jianbo Shi. 2017. First-Person Action-Object Detection with EgoNet. ArXiv abs\/1603.04908 (2017)."},{"key":"e_1_3_2_1_5_1","volume-title":"Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Bhattacharyya Apratim","year":"2018","unstructured":"Apratim Bhattacharyya , Mario Fritz , and Bernt Schiele . 2018 . Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2018), 4194--4202. Apratim Bhattacharyya, Mario Fritz, and Bernt Schiele. 2018. Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2018), 4194--4202."},{"key":"e_1_3_2_1_6_1","volume-title":"2015 IEEE International Conference on Robotics and Automation (ICRA)","author":"Cai Minjie","year":"2015","unstructured":"Minjie Cai , Kris Makoto Kitani , and Yoichi Sato . 2015 . A scalable approach for understanding the visual structures of hand grasps . 2015 IEEE International Conference on Robotics and Automation (ICRA) (2015), 1360--1366. Minjie Cai, Kris Makoto Kitani, and Yoichi Sato. 2015. A scalable approach for understanding the visual structures of hand grasps. 2015 IEEE International Conference on Robotics and Automation (ICRA) (2015), 1360--1366."},{"key":"e_1_3_2_1_7_1","unstructured":"Fran\u00e7ois Chollet et al. 2015. Keras. https:\/\/keras.io.  Fran\u00e7ois Chollet et al. 2015. Keras. https:\/\/keras.io."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2007.4290120"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2009.5457470"},{"key":"e_1_3_2_1_10_1","volume-title":"Ryoo","author":"Fan Chenyou","year":"2017","unstructured":"Chenyou Fan , Jangwon Lee , and Michael S . Ryoo . 2017 . Forecasting Hand and Object Locations in Future Frames. CoRR abs\/1705.07328 (2017). arXiv:1705.07328 http:\/\/arxiv.org\/abs\/1705.07328 Chenyou Fan, Jangwon Lee, and Michael S. Ryoo. 2017. Forecasting Hand and Object Locations in Future Frames. CoRR abs\/1705.07328 (2017). arXiv:1705.07328 http:\/\/arxiv.org\/abs\/1705.07328"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.503"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500413"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126269"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2012.6232217"},{"key":"e_1_3_2_1_15_1","volume-title":"Motion prediction under multimodality with conditional stochastic networks. arXiv preprint arXiv:1705.02082","author":"Fragkiadaki Katerina","year":"2017","unstructured":"Katerina Fragkiadaki , Jonathan Huang , Alex Alemi , Sudheendra Vijayanarasimhan , Susanna Ricco , and Rahul Sukthankar . 2017. Motion prediction under multimodality with conditional stochastic networks. arXiv preprint arXiv:1705.02082 ( 2017 ). Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, and Rahul Sukthankar. 2017. Motion prediction under multimodality with conditional stochastic networks. arXiv preprint arXiv:1705.02082 (2017)."},{"key":"e_1_3_2_1_16_1","volume-title":"Next-Active-Object prediction from Egocentric Videos. ArXiv abs\/1904.05250","author":"Furnari Antonino","year":"2017","unstructured":"Antonino Furnari , Sebastiano Battiato , Kristen Grauman , and Giovanni Maria Farinella . 2017. Next-Active-Object prediction from Egocentric Videos. ArXiv abs\/1904.05250 ( 2017 ). Antonino Furnari, Sebastiano Battiato, Kristen Grauman, and Giovanni Maria Farinella. 2017. Next-Active-Object prediction from Egocentric Videos. ArXiv abs\/1904.05250 (2017)."},{"key":"e_1_3_2_1_17_1","volume-title":"Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. CoRR abs\/1803.10892","author":"Gupta Agrim","year":"2018","unstructured":"Agrim Gupta , Justin Johnson , Li Fei-Fei , Silvio Savarese , and Alexandre Alahi . 2018. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. CoRR abs\/1803.10892 ( 2018 ). http:\/\/dblp.uni-trier.de\/db\/journals\/corr\/corr1803.html#abs-1803-10892 Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi. 2018. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. CoRR abs\/1803.10892 (2018). http:\/\/dblp.uni-trier.de\/db\/journals\/corr\/corr1803.html#abs-1803-10892"},{"key":"e_1_3_2_1_18_1","volume-title":"Girshick","author":"He Kaiming","year":"2017","unstructured":"Kaiming He , Georgia Gkioxari , Piotr Doll\u00e1r , and Ross B . Girshick . 2017 . Mask R-CNN. CoRR abs\/1703.06870 (2017). arXiv:1703.06870 http:\/\/arxiv.org\/abs\/1703.06870 Kaiming He, Georgia Gkioxari, Piotr Doll\u00e1r, and Ross B. Girshick. 2017. Mask R-CNN. CoRR abs\/1703.06870 (2017). arXiv:1703.06870 http:\/\/arxiv.org\/abs\/1703.06870"},{"key":"e_1_3_2_1_19_1","volume-title":"Egocentric Video Biometrics. CoRR abs\/1411.7591","author":"Hoshen Yedid","year":"2014","unstructured":"Yedid Hoshen and Shmuel Peleg . 2014. Egocentric Video Biometrics. CoRR abs\/1411.7591 ( 2014 ). arXiv:1411.7591 http:\/\/arxiv.org\/abs\/1411.7591 Yedid Hoshen and Shmuel Peleg. 2014. Egocentric Video Biometrics. CoRR abs\/1411.7591 (2014). arXiv:1411.7591 http:\/\/arxiv.org\/abs\/1411.7591"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang and Hanning Zhou. 2016. Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering. In IJCAI.  Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang and Hanning Zhou. 2016. Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering. In IJCAI.","DOI":"10.24963\/ijcai.2017\/273"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Rudolf E. K\u00e1lm\u00e1n. 1960. A New Approach to Linear Filtering and Prediction.  Rudolf E. K\u00e1lm\u00e1n. 1960. A New Approach to Linear Filtering and Prediction.","DOI":"10.1115\/1.3662552"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487409"},{"key":"e_1_3_2_1_23_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. CoRR abs\/1412.6980 (2015). Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. CoRR abs\/1412.6980 (2015)."},{"key":"e_1_3_2_1_24_1","volume-title":"Kingma and Max Welling","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Max Welling . 2014 . Auto-Encoding Variational Bayes. CoRR abs\/1312.6114 (2014). Diederik P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. CoRR abs\/1312.6114 (2014)."},{"key":"e_1_3_2_1_25_1","volume-title":"Tsotsos","author":"Kotseruba Iuliia","year":"2016","unstructured":"Iuliia Kotseruba , Amir Rasouli , and John K . Tsotsos . 2016 . Joint Attention in Autonomous Driving (JAAD). arXiv e-prints, Article arXiv:1609.04741 (Sep 2016), arXiv:1609.04741 pages. arXiv:cs.RO\/1609.04741 Iuliia Kotseruba, Amir Rasouli, and John K. Tsotsos. 2016. Joint Attention in Autonomous Driving (JAAD). arXiv e-prints, Article arXiv:1609.04741 (Sep 2016), arXiv:1609.04741 pages. arXiv:cs.RO\/1609.04741"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.453"},{"key":"e_1_3_2_1_27_1","volume-title":"Philip H. S. Torr, and Manmohan Krishna Chandraker.","author":"Lee Namhoon","year":"2017","unstructured":"Namhoon Lee , Wongun Choi , Paul Vernaza , Christopher Bongsoo Choy , Philip H. S. Torr, and Manmohan Krishna Chandraker. 2017 . DESIRE : Distant Future Prediction in Dynamic Scenes with Interacting Agents. CoRR abs\/1704.04394 (2017). arXiv:1704.04394 http:\/\/arxiv.org\/abs\/1704.04394 Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher Bongsoo Choy, Philip H. S. Torr, and Manmohan Krishna Chandraker. 2017. DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. CoRR abs\/1704.04394 (2017). arXiv:1704.04394 http:\/\/arxiv.org\/abs\/1704.04394"},{"key":"e_1_3_2_1_28_1","volume-title":"2012 IEEE Conference on Computer Vision and Pattern Recognition","author":"Lee Yong Jin","year":"2012","unstructured":"Yong Jin Lee , Joydeep Ghosh , and Kristen Grauman . 2012 . Discovering important people and objects for egocentric video summarization . 2012 IEEE Conference on Computer Vision and Pattern Recognition (2012), 1346--1353. Yong Jin Lee, Joydeep Ghosh, and Kristen Grauman. 2012. Discovering important people and objects for egocentric video summarization. 2012 IEEE Conference on Computer Vision and Pattern Recognition (2012), 1346--1353."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0794-5"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2011.5940452"},{"key":"e_1_3_2_1_31_1","volume-title":"Pixel-Level Hand Detection in Ego-centric Videos. 2013 IEEE Conference on Computer Vision and Pattern Recognition","author":"Li Cheng Yen","year":"2013","unstructured":"Cheng Yen Li and Kris M. Kitani . 2013 . Pixel-Level Hand Detection in Ego-centric Videos. 2013 IEEE Conference on Computer Vision and Pattern Recognition ( 2013 ), 3570--3577. Cheng Yen Li and Kris M. Kitani. 2013. Pixel-Level Hand Detection in Ego-centric Videos. 2013 IEEE Conference on Computer Vision and Pattern Recognition (2013), 3570--3577."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.399"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298625"},{"key":"e_1_3_2_1_34_1","volume-title":"Alexander G. Hauptmann, and Li Fei-Fei.","author":"Liang Junwei","year":"2019","unstructured":"Junwei Liang , Lu Jiang , Juan Carlos Niebles , Alexander G. Hauptmann, and Li Fei-Fei. 2019 . Peeking into the Future : Predicting Future Person Activities and Locations in Videos. CoRR abs\/1902.03748 (2019). arXiv:1902.03748 http:\/\/arxiv.org\/abs\/1902.03748 Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, and Li Fei-Fei. 2019. Peeking into the Future: Predicting Future Person Activities and Locations in Videos. CoRR abs\/1902.03748 (2019). arXiv:1902.03748 http:\/\/arxiv.org\/abs\/1902.03748"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17091967"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.209"},{"key":"e_1_3_2_1_37_1","volume-title":"TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents. ArXiv abs\/1811.02146","author":"Ma Yuexin","year":"2019","unstructured":"Yuexin Ma , Xinge Zhu , Sibo Zhang , Ruigang Yang , Wenping Wang , and Dinesh Manocha . 2019. TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents. ArXiv abs\/1811.02146 ( 2019 ). Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, and Dinesh Manocha. 2019. TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents. ArXiv abs\/1811.02146 (2019)."},{"key":"e_1_3_2_1_38_1","volume-title":"Ellis","author":"Makris Dimitrios","year":"2002","unstructured":"Dimitrios Makris and Tim J . Ellis . 2002 . Spatial and Probabilistic Modelling of Pedestrian Behaviour. In BMVC. Dimitrios Makris and Tim J. Ellis. 2002. Spatial and Probabilistic Modelling of Pedestrian Behaviour. In BMVC."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00294"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0062-z"},{"key":"e_1_3_2_1_41_1","volume-title":"Egocentric Future Localization. (June","author":"Park Hyun Soo","year":"2016","unstructured":"Hyun Soo Park , Jyh-Jing Hwang , Yedong Niu , and Jianbo Shi . 2016. Egocentric Future Localization. (June 2016 ). Hyun Soo Park, Jyh-Jing Hwang, Yedong Niu, and Jianbo Shi. 2016. Egocentric Future Localization. (June 2016)."},{"key":"e_1_3_2_1_42_1","unstructured":"Alexandre Alahi Parth Kothari. 2019. Human Trajectory Prediction using Adversarial Loss.  Alexandre Alahi Parth Kothari. 2019. Human Trajectory Prediction using Adversarial Loss."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459260"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248010"},{"key":"e_1_3_2_1_45_1","volume-title":"Williams","author":"Rasmussen Carl Edward","year":"2005","unstructured":"Carl Edward Rasmussen and Christopher K. I . Williams . 2005 . Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning). The MIT Press . Carl Edward Rasmussen and Christopher K. I. Williams. 2005. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning). The MIT Press."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995730"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2901817"},{"key":"e_1_3_2_1_48_1","volume-title":"First-Person Activity Forecasting with Online Inverse Reinforcement Learning. 2017 IEEE International Conference on Computer Vision (ICCV)","author":"Rhinehart Nicholas","year":"2017","unstructured":"Nicholas Rhinehart and Kris Makoto Kitani . 2017 . First-Person Activity Forecasting with Online Inverse Reinforcement Learning. 2017 IEEE International Conference on Computer Vision (ICCV) (2017), 3716--3725. Nicholas Rhinehart and Kris Makoto Kitani. 2017. First-Person Activity Forecasting with Online Inverse Reinforcement Learning. 2017 IEEE International Conference on Computer Vision (ICCV) (2017), 3716--3725."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2004.1326109"},{"key":"e_1_3_2_1_50_1","unstructured":"A. Rudenko and etal 2019. Human Motion Trajectory Prediction: A Survey. In arXiv preprint arXiv:1905.06113.  A. Rudenko and et al. 2019. Human Motion Trajectory Prediction: A Survey. In arXiv preprint arXiv:1905.06113."},{"key":"e_1_3_2_1_51_1","volume-title":"SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. CoRR abs\/1806.01482","author":"Sadeghian Amir","year":"2018","unstructured":"Amir Sadeghian , Vineet Kosaraju , Ali Sadeghian , Noriaki Hirose , and Silvio Savarese . 2018. SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. CoRR abs\/1806.01482 ( 2018 ). arXiv:1806.01482 http:\/\/arxiv.org\/abs\/1806.01482 Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, and Silvio Savarese. 2018. SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. CoRR abs\/1806.01482 (2018). arXiv:1806.01482 http:\/\/arxiv.org\/abs\/1806.01482"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354088"},{"key":"e_1_3_2_1_53_1","volume-title":"Gavrila","author":"Schneider Nicolas","year":"2013","unstructured":"Nicolas Schneider and Dariu M . Gavrila . 2013 . Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study. In Pattern Recognition, Joachim Weickert, Matthias Hein, and Bernt Schiele (Eds.). Springer Berlin Heidelberg , Berlin, Heidelberg, 174--183. Nicolas Schneider and Dariu M. Gavrila. 2013. Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study. In Pattern Recognition, Joachim Weickert, Matthias Hein, and Bernt Schiele (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 174--183."},{"key":"e_1_3_2_1_54_1","volume-title":"The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction. ArXiv abs\/1903.07933","author":"Sch\u00f6ller Christoph","year":"2019","unstructured":"Christoph Sch\u00f6ller , Vincent Aravantinos , Florian Lay , and Alois Knoll . 2019. The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction. ArXiv abs\/1903.07933 ( 2019 ). Christoph Sch\u00f6ller, Vincent Aravantinos, Florian Lay, and Alois Knoll. 2019. The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction. ArXiv abs\/1903.07933 (2019)."},{"key":"e_1_3_2_1_55_1","unstructured":"Kihyuk Sohn Honglak Lee and Xinchen Yan. 2015. Learning structured output representation using deep conditional generative models. In Advances in neural information processing systems. 3483--3491.  Kihyuk Sohn Honglak Lee and Xinchen Yan. 2015. Learning structured output representation using deep conditional generative models. In Advances in neural information processing systems. 3483--3491."},{"key":"e_1_3_2_1_56_1","volume-title":"Forecasting Pedestrian Trajectory with Machine-Annotated Training Data. ArXiv abs\/1905.03681","author":"Styles Olly","year":"2019","unstructured":"Olly Styles , Arun Ross , and Victor Rojo S\u00e1nchez . 2019. Forecasting Pedestrian Trajectory with Machine-Annotated Training Data. ArXiv abs\/1905.03681 ( 2019 ). Olly Styles, Arun Ross, and Victor Rojo S\u00e1nchez. 2019. Forecasting Pedestrian Trajectory with Machine-Annotated Training Data. ArXiv abs\/1905.03681 (2019)."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.133"},{"key":"e_1_3_2_1_58_1","unstructured":"Jur P. van den Berg Stephen J. Guy Ming C. Lin and Dinesh Manocha. 2009. Reciprocal n-Body Collision Avoidance. In ISRR.  Jur P. van den Berg Stephen J. Guy Ming C. Lin and Dinesh Manocha. 2009. Reciprocal n-Body Collision Avoidance. In ISRR."},{"key":"e_1_3_2_1_59_1","volume-title":"Simple Online and Realtime Tracking with a Deep Association Metric. CoRR abs\/1703.07402","author":"Wojke Nicolai","year":"2017","unstructured":"Nicolai Wojke , Alex Bewley , and Dietrich Paulus . 2017. Simple Online and Realtime Tracking with a Deep Association Metric. CoRR abs\/1703.07402 ( 2017 ). arXiv:1703.07402 http:\/\/arxiv.org\/abs\/1703.07402 Nicolai Wojke, Alex Bewley, and Dietrich Paulus. 2017. Simple Online and Realtime Tracking with a Deep Association Metric. CoRR abs\/1703.07402 (2017). arXiv:1703.07402 http:\/\/arxiv.org\/abs\/1703.07402"},{"key":"e_1_3_2_1_60_1","volume-title":"Crandall","author":"Xu Mingze","year":"2018","unstructured":"Mingze Xu , Chenyou Fan , Yuchen Wang , Michael S. Ryoo , and David J . Crandall . 2018 . Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. In ECCV. Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, and David J. Crandall. 2018. Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. In ECCV."},{"key":"e_1_3_2_1_61_1","volume-title":"Future Person Localization in First-Person Videos. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Yagi Takuma","year":"2018","unstructured":"Takuma Yagi , Karttikeya Mangalam , Ryo Yonetani , and Yoichi Sato . 2018 . Future Person Localization in First-Person Videos. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2018), 7593--7602. Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, and Yoichi Sato. 2018. Future Person Localization in First-Person Videos. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2018), 7593--7602."},{"key":"e_1_3_2_1_62_1","volume-title":"Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. CoRR abs\/1809.07408","author":"Yao Yu","year":"2018","unstructured":"Yu Yao , Mingze Xu , Chiho Choi , David J. Crandall , Ella M. Atkins , and Behzad Dariush . 2018. Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. CoRR abs\/1809.07408 ( 2018 ). arXiv:1809.07408 http:\/\/arxiv.org\/abs\/1809.07408 Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, and Behzad Dariush. 2018. Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems. CoRR abs\/1809.07408 (2018). arXiv:1809.07408 http:\/\/arxiv.org\/abs\/1809.07408"},{"key":"e_1_3_2_1_63_1","volume-title":"Stochastic trajectory prediction with social graph network. CoRR abs\/1907.10233","author":"Zhang Lidan","year":"2019","unstructured":"Lidan Zhang , Qi She , and Ping Guo . 2019. Stochastic trajectory prediction with social graph network. CoRR abs\/1907.10233 ( 2019 ). arXiv:1907.10233 http:\/\/arxiv.org\/abs\/1907.10233 Lidan Zhang, Qi She, and Ping Guo. 2019. Stochastic trajectory prediction with social graph network. CoRR abs\/1907.10233 (2019). arXiv:1907.10233 http:\/\/arxiv.org\/abs\/1907.10233"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.377"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.4271\/2018-01-1603"}],"event":{"name":"SAC '20: The 35th ACM\/SIGAPP Symposium on Applied Computing","location":"Brno Czech Republic","acronym":"SAC '20","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"]},"container-title":["Proceedings of the 35th Annual ACM Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341105.3373877","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3341105.3373877","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:54:11Z","timestamp":1750204451000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341105.3373877"}},"subtitle":["multimodal multi-pedestrian path prediction by self-driving cars with egocentric vision"],"short-title":[],"issued":{"date-parts":[[2020,3,30]]},"references-count":65,"alternative-id":["10.1145\/3341105.3373877","10.1145\/3341105"],"URL":"https:\/\/doi.org\/10.1145\/3341105.3373877","relation":{},"subject":[],"published":{"date-parts":[[2020,3,30]]},"assertion":[{"value":"2020-03-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}