IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning

P. J. Kellman and E. S. Spelke, “Perception of partly occluded objects in infancy,” Cognitive psychology , vol. 15, no. 4, pp. 483–524, 1983

1983

Earlier work this paper cites.

R. Baillargeon, E. S. Spelke, and S. Wasserman, “Object permanence in five-month-old infants,” Cognition , vol. 20, no. 3, pp. 191–208, 1985

1985

Earlier work this paper cites.

Z. W. Pylyshyn and R. W. Storm, “Tracking multiple independent targets: Evidence for a parallel tracking mechanism,” Spatial vision , vol. 3, no. 3, pp. 179–197, 1988

1988

Earlier work this paper cites.

R. Baillargeon and S. Hanko-Summers, “Is the top object adequately supported by the bottom object? young infants’ understanding of support relations,” Cognitive Development , vol. 5, no. 1, pp. 29–53, 1990

1990

Earlier work this paper cites.

R. Baillargeon, A. Needham, and J. DeVos, “The development of young infants’ intuitions about support,” Infant and Child Development , vol. 1, no. 2, pp. 69–78, 1992

1992

Earlier work this paper cites.

E. S. Spelke, R. Kestenbaum, D. J. Simons, and D. Wein, “Spatiotemporal continuity, smoothness of motion and object identity in infancy,” British Journal of Developmental Psychology , vol. 13, no. 2, pp. 113–142, 1995

1995

Earlier work this paper cites.

F. Xu and S. Carey, “Infants’ metaphysics: The case of numerical identity,” Cognitive psychology , vol. 30, no. 2, pp. 111–153, 1996

1996

Earlier work this paper cites.

P. O. Pinheiro, R. Collobert, and P. Dollar, “Learning to segment object candidates,” in Advances in Neural Information Processing Systems , 2015, pp. 1990–1998

1998

Earlier work this paper cites.

E. Valenza, I. Leo, L. Gava, and F. Simion, “Perceptual completion in newborn human infants,” Child Development , vol. 77, no. 6, pp. 1810–1821. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8624.2006.00975.x

2006

Earlier work this paper cites.

R. Saxe and S. Carey, “The perception of causality in infancy,” Acta psychologica , vol. 123, no. 1, pp. 144–165, 2006

2006

Earlier work this paper cites.

J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, “Robust face recognition via sparse representation,” IEEE transactions on pattern analysis and machine intelligence , vol. 31, no. 2, pp. 210–227, 2009

2009

Earlier work this paper cites.

A. Farhadi, M. Hejrati, M. Sadeghi, P. Young, C. Rashtchian, J. Hockenmaier, and D. Forsyth, “Every picture tells a story: Generating sentences from images,” Computer vision–ECCV 2010 , pp. 15–29, 2010

2010

Earlier work this paper cites.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in Neural Information Processing Systems 25 , F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2012, pp. 1097–1105

2012

Earlier work this paper cites.

R. Baillargeon and S. Carey, “Core cognition and beyond,” in Early childhood development and later outcome , S. Pauen, Ed. New York: Cambridge University Press, 2012, ch. 3, pp. 33–65

2012

Earlier work this paper cites.

C. L. Zitnick and D. Parikh, “Bringing semantics into focus using visual abstraction,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2013, pp. 3009–3016

2013

Earlier work this paper cites.

P. W. Battaglia, J. B. Hamrick, and J. B. Tenenbaum, “Simulation as an engine of physical scene understanding,” Proceedings of the National Academy of Sciences of the United States of America , vol. 110, no. 45, 2013. [Online]. Available: http://www.pnas.org/content/110/45/18327

2013

Cited alongside, same era.

I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in Advances in neural information processing systems , 2014, pp. 2672–2680

2014

Cited alongside, same era.

M. Mirza and S. Osindero, “Conditional generative adversarial nets,” CoRR , vol. abs/1411.1784, 2014. [Online]. Available: http://arxiv.org/abs/1411.1784

Original

2014

Cited alongside, same era.

D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” CoRR , vol. abs/1412.6980, 2014. [Online]. Available: http://arxiv.org/abs/1412.6980

Original

2014

Cited alongside, same era.

K. Fragkiadaki, P. Agrawal, S. Levine, and J. Malik, “Learning visual predictive models of physics for playing billiards,” ICLR , 2016. [Online]. Available: https://arxiv.org/abs/1511.07404

Original

2016

Later among the works it cites.

E. L. Denton, S. Gross, and R. Fergus, “Semi-supervised learning with context-conditional generative adversarial networks,” CoRR , vol. abs/1611.06430, 2016. [Online]. Available: http://arxiv.org/abs/1611.06430

Original

2016

Later among the works it cites.

A. Lerer, S. Gross, and R. Fergus, “Learning physical intuition of block towers by example,” International Conference on Machine Learning (ICML) , 2016. [Online]. Available: http://arxiv.org/abs/1603.01312

Original

2016

Later among the works it cites.

R. Zhang, J. Wu, C. Zhang, W. T. Freeman, and J. B. Tenenbaum, “A comparative evaluation of approximate probabilistic simulation and deep neural networks as accounts of human physical scene understanding,” CogSci , 2016. [Online]. Available: http://blocks.csail.mit.edu/

2016