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Deciphering human behaviors to predict their future paths/trajectories and what they would do from videos is important in many applications.
Crowds by example
A. Lerner, Y. Chrysanthou, and D. Lischinski · 2007
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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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A large-scale benchmark dataset for event recognition in surveillance video
S. Oh, A. Hoogs, A. Perera, N. Cuntoor, C.-C. Chen, J. T. Lee, S. Mukherjee, J. Aggarwal, H. Lee, L. Davis, et al · 2011
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Activity forecasting
K. M. Kitani, B. D. Ziebart, J. A. Bagnell, and M. Hebert · 2012
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Improving data association by joint modeling of pedestrian trajectories and groupings
S. Pellegrini, A. Ess, and L. Van Gool · 2012
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Adadelta: an adaptive learning rate method
M. D. Zeiler · 2012
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Understanding collective activitiesof people from videos
W. Choi and S. Savarese · 2014
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Context-based pedestrian path prediction
J. F. P. Kooij, N. Schneider, F. Flohr, and D. M. Gavrila · 2014
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Car that knows before you do: Anticipating maneuvers via learning temporal driving models
A. Jain, H. S. Koppula, B. Raghavan, S. Soh, and A. Saxena · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Joint inference of groups, events and human roles in aerial videos
T. Shu, D. Xie, B. Rothrock, S. Todorovic, and S. Chun Zhu · 2015
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Unsupervised learning of video representations using lstms
N. Srivastava, E. Mansimov, and R. Salakhudinov · 2015
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Object tracking benchmark
Y. Wu, J. Lim, and M.-H. Yang · 2015
Cited alongside, same era.
Social lstm: Human trajectory prediction in crowded spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
Cited alongside, same era.
Structural-rnn: Deep learning on spatio-temporal graphs
A. Jain, A. R. Zamir, S. Savarese, and A. Saxena · 2016
Cited alongside, same era.
Anticipating human activities using object affordances for reactive robotic response
H. S. Koppula and A. Saxena · 2016
Cited alongside, same era.
Learning activity progression in lstms for activity detection and early detection
S. Ma, L. Sigal, and S. Sclaroff · 2016
Cited alongside, same era.
Pedestrian behavior understanding and prediction with deep neural networks
S. Yi, H. Li, and X. Wang · 2016
Cited alongside, same era.
Trecvid 2018: Benchmarking video activity detection, video captioning and matching, video storytelling linking and video search
G. Awad, A. Butt, K. Curtis, J. Fiscus, A. Godil, A. F. Smeaton, Y. Graham, W. Kraaij, G. Quénot, J. Magalhaes, D. Semedo, and S. Blasi · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Social gan: Socially acceptable trajectories with generative adversarial networks
A. Gupta, J. Johnson, S. Savarese, Li Fei-Fei, and A. Alahi · 2018
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Relation networks for object detection
H. Hu, J. Gu, Z. Zhang, J. Dai, and Y. Wei · 2018
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A transferable pedestrian motion prediction model for intersections with different geometries
N. Jaipuria, G. Habibi, and J. P. How · 2018
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Encouraging lstms to anticipate actions very early
M. S. Aliakbarian, F. Saleh, M. Salzmann, B. Fernando, L. Petersson, and L. Andersson · 2017
Cited alongside, same era.
RMPE: Regional multi-person pose estimation
H.-S. Fang, S. Xie, Y.-W. Tai, and C. Lu · 2017
Cited alongside, same era.
Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
Cited alongside, same era.
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
A. Sadeghian, A. Alahi, and S. Savarese · 2017
Cited alongside, same era.
Cern: confidence-energy recurrent network for group activity recognition
T. Shu, S. Todorovic, and S.-C. Zhu · 2017
Cited alongside, same era.
Focal visual-text attention for visual question answering
J. Liang, L. Jiang, L. Cao, L.-J. Li, and A. Hauptmann · 2018
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Scene-lstm: A model for human trajectory prediction
H. Manh and G. Alaghband · 2018
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Sophie: An attentive gan for predicting paths compliant to social and physical constraints
A. Sadeghian, V. Kosaraju, A. Sadeghian, N. Hirose, and S. Savarese · 2018
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Learning and inferring “dark matter” and predicting human intents and trajectories in videos
D. Xie, T. Shu, S. Todorovic, and S.-C. Zhu · 2018
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Encoding crowd interaction with deep neural network for pedestrian trajectory prediction
Y. Xu, Z. Piao, and S. Gao · 2018
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Future person localization in first-person videos
T. Yagi, K. Mangalam, R. Yonetani, and Y. Sato · 2018
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Understanding human behaviors in crowds by imitating the decision-making process
H. Zou, H. Su, S. Song, and J. Zhu · 2018
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