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The ability to forecast a set of likely yet diverse possible future behaviors of an agent (e.g., future trajectories of a pedestrian) is essential for safety-critical perception systems (e.g., autonomous vehicles).
The coincidence approach to stochastic point processes
O. Macchi · 1975
Earlier work this paper cites.
An analysis of approximations for maximizing submodular set functions—i
G. L. Nemhauser, L. A. Wolsey, and M. L. Fisher · 1978
Earlier work this paper cites.
An algorithm directly finding the k most probable configurations in bayesian networks
B. Seroussi and J.-L. Golmard · 1994
Earlier work this paper cites.
An efficient algorithm for finding the m most probable configurationsin probabilistic expert systems
D. Nilsson · 1998
Earlier work this paper cites.
An introduction to variational methods for graphical models
M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul · 1999
Earlier work this paper cites.
k-dpps: Fixed-size determinantal point processes
A. Kulesza and B. Taskar · 2011
Earlier work this paper cites.
Diverse m-best solutions in markov random fields
D. Batra, P. Yadollahpour, A. Guzman-Rivera, and G. Shakhnarovich · 2012
Earlier work this paper cites.
Near-optimal map inference for determinantal point processes
J. Gillenwater, A. Kulesza, and B. Taskar · 2012
Earlier work this paper cites.
Multiple choice learning: Learning to produce multiple structured outputs
A. Guzman-Rivera, D. Batra, and P. Kohli · 2012
Earlier work this paper cites.
Activity forecasting
K. M. Kitani, B. D. Ziebart, J. A. Bagnell, and M. Hebert · 2012
Earlier work this paper cites.
Determinantal point processes for machine learning
A. Kulesza, B. Taskar, et al · 2012
Earlier work this paper cites.
Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu · 2013
Earlier work this paper cites.
Inferring ”dark matter” and ”dark energy” from videos
D. Xie, S. Todorovic, and S.-C. Zhu · 2013
Earlier work this paper cites.
Expectation-maximization for learning determinantal point processes
J. A. Gillenwater, A. Kulesza, E. Fox, and B. Taskar · 2014
Earlier work this paper cites.
Diverse sequential subset selection for supervised video summarization
B. Gong, W.-L. Chao, K. Grauman, and F. Sha · 2014
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Cited alongside, same era.
Recurrent network models for human dynamics
K. Fragkiadaki, S. Levine, P. Felsen, and J. Malik · 2015
Cited alongside, same era.
Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction
E. Galceran, A. G. Cunningham, R. M. Eustice, and E. Olson · 2015
Cited alongside, same era.
How do we use our hands? discovering a diverse set of common grasps
D.-A. Huang, M. Ma, W.-C. Ma, and K. M. Kitani · 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.
Knowledge transfer for scene-specific motion prediction
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
Later among the works it cites.
Auto-conditioned recurrent networks for extended complex human motion synthesis
Z. Li, Y. Zhou, S. Xiao, C. He, Z. Huang, and H. Li · 2017
Later among the works it cites.
Forecasting interactive dynamics of pedestrians with fictitious play
W.-C. Ma, D.-A. Huang, N. Lee, and K. M. Kitani · 2017
Later among the works it cites.
A simple yet effective baseline for 3d human pose estimation
J. Martinez, R. Hossain, J. Romero, and J. J. Little · 2017
Later among the works it cites.
Coarse-to-fine volumetric prediction for single-image 3d human pose
G. Pavlakos, X. Zhou, K. G. Derpanis, and K. Daniilidis · 2017
Later among the works it cites.
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L. Ballan, F. Castaldo, A. Alahi, F. Palmieri, and S. Savarese · 2016
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Recurrent neural networks for driver activity anticipation via sensory-fusion architecture
A. Jain, A. Singh, H. S. Koppula, S. Soh, and A. Saxena · 2016
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Stochastic multiple choice learning for training diverse deep ensembles
S. Lee, S. P. S. Prakash, M. Cogswell, V. Ranjan, D. Crandall, and D. Batra · 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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Egocentric future localization
H. Soo Park, J.-J. Hwang, Y. Niu, and J. Shi · 2016
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An uncertain future: Forecasting from static images using variational autoencoders
J. Walker, C. Doersch, A. Gupta, and M. Hebert · 2016
Cited alongside, same era.
Learning detection with diverse proposals
S. Azadi, J. Feng, and T. Darrell · 2017
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M. Elfeki, C. Couprie, M. Riviere, and M. Elhoseiny · 2018
Later among the works it cites.
Social gan: Socially acceptable trajectories with generative adversarial networks
A. Gupta, J. Johnson, L. Fei-Fei, S. Savarese, and A. Alahi · 2018
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Creating capsule wardrobes from fashion images
W.-L. Hsiao and K. Grauman · 2018
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Learning 3d human dynamics from video
A. Kanazawa, J. Zhang, P. Felsen, and J. Malik · 2018
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R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
N. Rhinehart, K. M. Kitani, and P. Vernaza · 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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Mt-vae: Learning motion transformations to generate multimodal human dynamics
X. Yan, A. Rastogi, R. Villegas, K. Sunkavalli, E. Shechtman, S. Hadap, E. Yumer, and H. Lee · 2018
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3d human pose estimation in video with temporal convolutions and semi-supervised training
D. Pavllo, C. Feichtenhofer, D. Grangier, and M. Auli · 2019
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Precog: Prediction conditioned on goals in visual multi-agent settings
N. Rhinehart, R. McAllister, K. Kitani, and S. Levine · 2019
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Ego-pose estimation and forecasting as real-time pd control
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