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We consider the problem of predicting the future trajectory of scene agents from egocentric views obtained from a moving platform.
Sr-lstm: State refinement for lstm towards pedestrian trajectory prediction
Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, and Nanning Zheng · 2003
Earlier work this paper cites.
Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
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Actions in context
Marcin Marszałek, Ivan Laptev, and Cordelia Schmid · 2009
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Improving data association by joint modeling of pedestrian trajectories and groupings
Stefano Pellegrini, Andreas Ess, and Luc Van Gool · 2010
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HMDB: a large video database for human motion recognition
H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre · 2011
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A large-scale benchmark dataset for event recognition in surveillance video
Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, JK Aggarwal, Hyungtae Lee, Larry Davis, et al · 2011
Earlier work this paper cites.
Ucf101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
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A hierarchical representation for future action prediction
Tian Lan, Tsung-Chuan Chen, and Silvio Savarese · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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Learning social etiquette: Human trajectory understanding in crowded scenes
Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
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Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
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Predicting the where and what of actors and actions through online action localization
Khurram Soomro, Haroon Idrees, and Mubarak Shah · 2016
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
Earlier work this paper cites.
Desire: Distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
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Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior
Amir Rasouli, Iuliia Kotseruba, and John K Tsotsos · 2017
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Online real-time multiple spatiotemporal action localisation and prediction
Gurkirt Singh, Suman Saha, Michael Sapienza, Philip HS Torr, and Fabio Cuzzolin · 2017
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Long-term temporal convolutions for action recognition
Gül Varol, Ivan Laptev, and Cordelia Schmid · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Long-term on-board prediction of people in traffic scenes under uncertainty
Apratim Bhattacharyya, Mario Fritz, and Bernt Schiele · 2018
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Encoding crowd interaction with deep neural network for pedestrian trajectory prediction
Yanyu Xu, Zhixin Piao, and Shenghua Gao · 2018
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Ss-lstm: A hierarchical lstm model for pedestrian trajectory prediction
Hao Xue, Du Q Huynh, and Mark Reynolds · 2018
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Every moment counts: Dense detailed labeling of actions in complex videos
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, and Li Fei-Fei · 2018
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Waymo open dataset: An autonomous driving dataset, 2019
2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2019
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Joao Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, and Andrew Zisserman · 2018
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Scaling egocentric vision: The epic-kitchens dataset
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray · 2018
Cited alongside, same era.
Multi-modal trajectory prediction of surrounding vehicles with maneuver based lstms
Nachiket Deo and Mohan M Trivedi · 2018
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Action detection from a robot-car perspective
Valentina Fontana, Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Suman Saha, and Fabio Cuzzolin · 2018
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Ava: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, David A Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, et al · 2018
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
Kensho Hara, Hirokatsu Kataoka, and Yutaka Satoh · 2018
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Traphic: Trajectory prediction in dense and heterogeneous traffic using weighted interactions
Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha · 2019
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
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Looking to relations for future trajectory forecast
Chiho Choi and Behzad Dariush · 2019
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Drogon: A causal reasoning framework for future trajectory forecast
Chiho Choi, Abhishek Patil, and Srikanth Malla · 2019
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Timeception for complex action recognition
Noureldien Hussein, Efstratios Gavves, and Arnold WM Smeulders · 2019
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Lyft level 5 av dataset 2019
R. Kesten, M. Usman, J. Houston, T. Pandya, K. Nadhamuni, A. Ferreira, M. Yuan, B. Low, A. Jain, P. Ondruska, S. Omari, S. Shah, A. Kulkarni, A. Kazakova, C. Tao, L. Platinsky, W. Jiang, and V. Shet · 2019
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Conditional generative neural system for probabilistic trajectory prediction
Jiachen Li, Hengbo Ma, and Masayoshi Tomizuka · 2019
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Interaction-aware multi-agent tracking and probabilistic behavior prediction via adversarial learning
Jiachen Li, Hengbo Ma, and Masayoshi Tomizuka · 2019
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Trafficpredict: Trajectory prediction for heterogeneous traffic-agents
Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, and Dinesh Manocha · 2019
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Nemo: Future object localization using noisy ego priors
Srikanth Malla and Chiho Choi · 2019
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The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes
Abhishek Patil, Srikanth Malla, Haiming Gang, and Yi-Ting Chen · 2019
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Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction
Amir Rasouli, Iuliia Kotseruba, Toni Kunic, and John K. Tsotsos · 2019
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The simpler the better: Constant velocity for pedestrian motion prediction
Christoph Schöller, Vincent Aravantinos, Florian Lay, and Alois Knoll · 2019
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Relational action forecasting
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, and Cordelia Schmid · 2019
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Egocentric vision-based future vehicle localization for intelligent driving assistance systems
Yu Yao, Mingze Xu, Chiho Choi, David J Crandall, Ella M Atkins, and Behzad Dariush · 2019
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