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Humans have a remarkable ability to use physical commonsense and predict the effect of collisions.
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Fragkiadaki, K., Agrawal, P., Levine, S., Malik, J.: Learning visual predictive models of physics for playing billiards. In: International Conference on Learning Representations (ICLR) (2016)
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Hamrick, J.B., Battaglia, P.W., Griffiths, T.L., Tenenbaum, J.B.: Inferring mass in complex scenes by mental simulation. Cognition (2016)
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Lerer, A., Gross, S., Fergus, R.: Learning physical intuition of block towers by example. In: International Conference on Machine Learning (ICML) (2016)
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Mathieu, M., Couprie, C., LeCun, Y.: Deep multi-scale video prediction beyond mean square error. In: International Conference on Learning Representations (ICLR) (2016)
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Mottaghi, R., Bagherinezhad, H., Rastegari, M., , Farhadi, A.: Newtonian scene understanding: Unfolding the dynamics of objects in static images. In: Computer Vision and Pattern Recognition (CVPR) (2016)
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Mottaghi, R., Rastegari, M., Gupta, A., Farhadi, A.: “what happens if…” learning to predict the effect of forces in images. In: European Conference on Computer Vision (ECCV) (2016)
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Pinto, L., Gandhi, D., Han, Y., Park, Y.L., , Gupta, A.: The curious robot: Learning visual representations via physical interactions. In: European Conference on Computer Vision (ECCV) (2016)
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Vondrick, C., Pirsiavash, H., Torralba, A.: Generating videos with scene dynamics. In: Neural Information Processing Systems (NIPS) (2016)
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Walker, J., Doersch, C., Gupta, A., Hebert, M.: An uncertain future: Forecasting from variational autoencoders. In: European Conference on Computer Vision (ECCV) (2016)
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Zhu, Y., Jiang, C., Zhao, Y., Terzopoulos, D., Zhu, S.C.: Inferring forces and learning human utilities from videos. In: Computer Vision and Pattern Recognition (CVPR) (2016)
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Chang, M.B., Ullman, T., Torralba, A., Tenenbaum, J.B.: A compositional object-based approach to learning physical dynamics. In: International Conference on Learning Representations (ICLR) (2017)
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Edmonds, M., Gao, F., Xie, X., Liu, H., Qi, S., Zhu, Y., Rothrock, B., Zhu, S.C.: Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles. In: Intelligent Robots and Systems (IROS) (2017)
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Watters, N., Tacchetti, A., Weber, T., Pascanu, R., Battaglia, P., Zoran, D.: Visual interaction networks. In: Neural Information Processing Systems (NIPS) (2017)
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Wu, J., Lu, E., Kohli, P., Freeman, W.T., Tenenbaum, J.B.: Learning to see physics via visual de-animation. In: Neural Information Processing Systems (NIPS) (2017)
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Qi, S., Jia, B., Zhu, S.C.: Generalized earley parser: Bridging symbolic grammars and sequence data for future prediction. In: International Conference on Machine Learning (ICML) (2018)
2018
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