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Forecasting long-term human motion is a challenging task due to the non-linearity, multi-modality and inherent uncertainty in future trajectories.
1904
Earlier work this paper cites.
1905
Earlier work this paper cites.
1905
Earlier work this paper cites.
1906
Earlier work this paper cites.
K. Yamaguchi, A. C. Berg, L. E. Ortiz, and T. L. Berg, “Who are you with and where are you going?” in CVPR 2011 , June 2011, pp. 1345–1352
2011
Earlier work this paper cites.
F. Rottensteiner, G. Sohn, J. Jung, M. Gerke, C. Baillard, S. Benitez, and U. Breitkopf, “The isprs benchmark on urban object classification and 3d building reconstruction,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-3 (2012), Nr. 1 , vol. 1, no. 1, pp. 293–298, 2012
2012
Earlier work this paper cites.
D. Kingma and J. Ba, “Adam: A method for stochastic optimization,” International Conference on Learning Representations , 12 2014
2014
Earlier work this paper cites.
M. S. Shirazi and B. Morris, “Observing behaviors at intersections: A review of recent studies & developments,” in 2015 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 2015, pp. 1258–1263
2015
Earlier work this paper cites.
O. Ronneberger, P. Fischer, and T. Brox, “U-net: Convolutional networks for biomedical image segmentation,” vol. 9351, 10 2015, pp. 234–241
2015
Earlier work this paper cites.
E. Ohn-Bar and M. M. Trivedi, “Looking at humans in the age of self-driving and highly automated vehicles,” IEEE Transactions on Intelligent Vehicles , vol. 1, no. 1, pp. 90–104, March 2016
2016
Earlier work this paper cites.
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese, “Social lstm: Human trajectory prediction in crowded spaces,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 961–971
2016
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2016, pp. 770–778
2016
Cited alongside, same era.
A. Robicquet, A. Sadeghian, A. Alahi, and S. Savarese, “Learning social etiquette: Human trajectory understanding in crowded scenes,” in ECCV , 2016
2016
Cited alongside, same era.
N. Lee, W. Choi, P. Vernaza, C. B. Choy, P. H. Torr, and M. Chandraker, “Desire: Distant future prediction in dynamic scenes with interacting agents,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 336–345
2017
Cited alongside, same era.
Y. Li, “Pedestrian path forecasting in crowd: A deep spatio-temporal perspective,” in Proceedings of the 25th ACM International Conference on Multimedia , ser. MM ’17. New York, NY, USA: ACM, 2017, pp. 235–243. [Online]. Available: http://doi.acm.org/10.1145/3123266.3123287
2017
Cited alongside, same era.
A. Sadeghian, F. Legros, M. Voisin, R. Vesel, A. Alahi, and S. Savarese, “Car-net: Clairvoyant attentive recurrent network,” in Computer Vision – ECCV 2018 , V. Ferrari, M. Hebert, C. Sminchisescu, and Y. Weiss, Eds. Cham: Springer International Publishing, 2018, pp. 162–180
2018
Later among the works it cites.
2018
Later among the works it cites.
N. Rhinehart, K. M. Kitani, and P. Vernaza, “R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2018, pp. 772–788
2018
Later among the works it cites.
N. Deo and M. M. Trivedi, “Multi-modal trajectory prediction of surrounding vehicles with maneuver based lstms,” in 2018 IEEE Intelligent Vehicles Symposium, IV 2018, Changshu, Suzhou, China, June 26-30, 2018 , 2018, pp. 1179–1184. [Online]. Available: https://doi.org/10.1109/IVS.2018.8500493
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P. Isola, J. Zhu, T. Zhou, and A. A. Efros, “Image-to-image translation with conditional adversarial networks,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , July 2017, pp. 5967–5976
2017
Cited alongside, same era.
D. Ridel, E. Rehder, M. Lauer, C. Stiller, and D. Wolf, “A literature review on the prediction of pedestrian behavior in urban scenarios,” in 2018 21st International Conference on Intelligent Transportation Systems (ITSC) , Nov 2018, pp. 3105–3112
2018
Cited alongside, same era.
A. Gupta, J. Johnson, L. Fei-Fei, S. Savarese, and A. Alahi, “Social gan: Socially acceptable trajectories with generative adversarial networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018, pp. 2255–2264
2018
Cited alongside, same era.
2018
Cited alongside, same era.
N. Deo and M. M. Trivedi, “Convolutional social pooling for vehicle trajectory prediction,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops , 2018, pp. 1468–1476
2018
Cited alongside, same era.
N. Nikhil and B. Tran Morris, “Convolutional neural network for trajectory prediction,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2018, pp. 0–0
2018
Cited alongside, same era.
A. Vemula, K. Muelling, and J. Oh, “Social attention: Modeling attention in human crowds,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 1–7
2018
Cited alongside, same era.
2018
Later among the works it cites.
H. Li, Z. Xu, G. Taylor, C. Studer, and T. Goldstein, “Visualizing the loss landscape of neural nets,” in Advances in Neural Information Processing Systems 31 , S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett, Eds. Curran Associates, Inc., 2018, pp. 6389–6399. [Online]. Available: http://papers.nips.cc/paper/7875-visualizing-the-loss-landscape-of-neural-nets.pdf
2018
Later among the works it cites.
A. Zyner, S. Worrall, and E. Nebot, “Naturalistic driver intention and path prediction using recurrent neural networks,” IEEE Transactions on Intelligent Transportation Systems , pp. 1–11, 2019
2019
Closest in time.
A. Sadeghian, V. Kosaraju, A. Sadeghian, N. Hirose, H. Rezatofighi, and S. Savarese, “Sophie: An attentive gan for predicting paths compliant to social and physical constraints,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2019
2019
Closest in time.
D. A. Ridel, N. Deo, D. F. Wolf, and M. M. Trivedi, “Understanding pedestrian-vehicle interactions with vehicle mounted vision: An LSTM model and empirical analysis,” in IEEE Intelligent Vehicles Symposium (IV) , 2019
2019
Closest in time.
J. Liang, L. Jiang, J. C. Niebles, A. G. Hauptmann, and L. Fei-Fei, “Peeking into the future: Predicting future person activities and locations in videos,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2019
2019
Closest in time.
W. Zeng, W. Luo, S. Suo, A. Sadat, B. Yang, S. Casas, and R. Urtasun, “End-to-end interpretable neural motion planner,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2019
2019
Closest in time.
Y. Li, “Which way are you going? imitative decision learning for path forecasting in dynamic scenes,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2019
2019
Closest in time.