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Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments.
Social force model for pedestrian dynamics
D. Helbing and P. Molnar · 1995
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Discrete choice models of pedestrian walking behavior
G. Antonini, M. Bierlaire, and M. Weber · 2006
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Continuum crowds
A. Treuille, S. Cooper, and Z. Popović · 2006
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Semantic-based surveillance video retrieval
W. Hu, D. Xie, Z. Fu, W. Zeng, and S. Maybank · 2007
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Modelling smooth paths using gaussian processes
M. K. C. Tay and C. Laugier · 2008
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Gaussian process dynamical models for human motion
J. M. Wang, D. J. Fleet, and A. Hertzmann · 2008
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Abnormal crowd behavior detection using social force model
R. Mehran, A. Oyama, and M. Shah · 2009
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People tracking with human motion predictions from social forces
M. Luber, J. A. Stork, G. D. Tipaldi, and K. O. Arras · 2010
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Improving data association by joint modeling of pedestrian trajectories and groupings
S. Pellegrini, A. Ess, and L. Van Gool · 2010
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Gaussian process regression flow for analysis of motion trajectories
K. Kim, D. Lee, and I. Essa · 2011
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Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker
L. Leal-Taixe, G. Pons-Moll, and B. Rosenhahn · 2011
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Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach
B. T. Morris and M. M. Trivedi · 2011
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Who are you with and where are you going?
K. Yamaguchi, A. C. Berg, L. E. Ortiz, and T. L. Berg · 2011
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Random field topic model for semantic region analysis in crowded scenes from tracklets
B. Zhou, X. Wang, and X. Tang · 2011
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A unified framework for multi-target tracking and collective activity recognition
W. Choi and S. Savarese · 2012
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Activity forecasting
K. M. Kitani, B. D. Ziebart, J. A. Bagnell, and M. Hebert · 2012
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
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Understanding collective activitiesof people from videos
W. Choi and S. Savarese · 2014
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End-to-end continuous speech recognition using attention-based recurrent nn: First results
J. Chorowski, D. Bahdanau, K. Cho, and Y. Bengio · 2014
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Conditional generative adversarial nets for convolutional face generation
J. Gauthier · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Towards end-to-end speech recognition with recurrent neural networks
Understanding pedestrian behaviors from stationary crowd groups
S. Yi, H. Li, and X. Wang · 2015
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Social lstm: Human trajectory prediction in crowded spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
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Knowledge transfer for scene-specific motion prediction
L. Ballan, F. Castaldo, A. Alahi, F. Palmieri, and S. Savarese · 2016
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Point-based path prediction from polar histograms
P. Coscia, F. Castaldo, F. A. Palmieri, L. Ballan, A. Alahi, and S. Savarese · 2016
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A point set generation network for 3d object reconstruction from a single image
H. Fan, H. Su, and L. Guibas · 2016
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Image-to-image translation with conditional adversarial networks
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A. Graves and N. Jaitly · 2014
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Deep fragment embeddings for bidirectional image sentence mapping
A. Karpathy, A. Joulin, and F. F. F. Li · 2014
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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Learning an image-based motion context for multiple people tracking
L. Leal-Taixé, M. Fenzi, A. Kuznetsova, B. Rosenhahn, and S. Savarese · 2014
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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A recurrent latent variable model for sequential data
J. Chung, K. Kastner, L. Dinh, K. Goel, A. C. Courville, and Y. Bengio · 2015
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Hierarchical recurrent neural network for skeleton based action recognition
Y. Du, W. Wang, and L. Wang · 2015
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P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2016
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al · 2016
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Spatio-temporal lstm with trust gates for 3d human action recognition
J. Liu, A. Shahroudy, D. Xu, and G. Wang · 2016
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Conditional image synthesis with auxiliary classifier gans
A. Odena, C. Olah, and J. Shlens · 2016
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Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2016
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Learning social etiquette: Human trajectory understanding in crowded scenes
A. Robicquet, A. Sadeghian, A. Alahi, and S. Savarese · 2016
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Huang, X. Wang, and D. Metaxas · 2016
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Context-aware trajectory prediction
F. Bartoli, G. Lisanti, L. Ballan, and A. Del Bimbo · 2017
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T. Fernando, S. Denman, S. Sridharan, and C. Fookes · 2017
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Desire: Distant future prediction in dynamic scenes with interacting agents
N. Lee, W. Choi, P. Vernaza, C. B. Choy, P. H. Torr, and M. Chandraker · 2017
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Cern: confidence-energy recurrent network for group activity recognition
T. Shu, S. Todorovic, and S.-C. Zhu · 2017
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