[1] Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, and Judith E. Fan. Physion: Evaluating physical prediction from vision in humans and machines. CoRR, abs/2106.08261, 2021.
[2] Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, and Emmanuel Dupoux. Intphys 2019: A benchmark for visual intuitive physics understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5016-5025, 2021.
[3] Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, and Emmanuel Dupoux. Intphys: A framework and benchmark for visual intuitive physics reasoning. arXiv preprint arXiv:1803.07616, 2018.
[4] Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, and Joshua B Tenenbaum. Clevrer: Collision events for video representation and reasoning. arXiv preprint arXiv:1910.01442, 2019.
[5] Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun. Vision meets robotics: The kitti dataset. The International Journal of Robotics Research, 32(11):1231-1237, 2013.
[6] Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu. Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments. IEEE transactions on pattern analysis and machine intelligence, 36(7):1325-1339, 2013.
[7] Oliver Groth, Fabian B Fuchs, Ingmar Posner, and Andrea Vedaldi. Shapestacks: Learning vision-based physical intuition for generalised object stacking. In Proceedings of the European conference on computer vision (eccv), pages 702-717, 2018.
[8] Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, and Chelsea Finn. Robonet: Large-scale multi-robot learning. arXiv preprint arXiv:1910.11215, 2019.
[9] Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, and Christian Wolf. Cophy: Counterfactual learning of physical dynamics. arXiv preprint arXiv:1909.12000, 2019.
[10] Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, and Dragomir Radev. Esprit: Explaining solutions to physical reasoning tasks. arXiv preprint arXiv:2005.00730, 2020.
[11] Tayfun Ates, M Samil Atesoglu, Cagatay Yigit, Ilker Kesen, Mert Kobas, Erkut Erdem, Aykut Erdem, Tilbe Goksun, and Deniz Yuret. Craft: A benchmark for causal reasoning about forces and interactions. arXiv preprint arXiv:2012.04293, 2020.
[12] Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B Tenenbaum, and Chuang Gan. Comphy: Compositional physical reasoning of objects and events from videos. arXiv preprint arXiv:2205.01089, 2022.
[13] Yichen Li, YingQiao Wang, Tal Boger, Kevin Smith, Samuel J Gershman, and Tomer Ullman. An approximate representation of objects underlies physical reasoning. *PsyArXiv*, 2022.
[14] Vivian C. Paulun and Roland W. Fleming. Visually inferring elasticity from the motion trajectory of bouncing cubes. Journal of Vision, 20(6):6-6, 06 2020.
[15] Jessica B. Hamrick, Peter W. Battaglia, Thomas L. Griffiths, and Joshua B. Tenenbaum. Inferring mass in complex scenes by mental simulation. Cognition, 157:61-76, 2016.
[16] Ilker Yildirim, Kevin A. Smith, Mario Belledonne, Jiajun Wu, and Joshua B. Tenenbaum. Neurocomputational Modeling of Human Physical Scene Understanding. In 2018 Conference on Cognitive Computational Neuroscience, Philadelphia, Pennsylvania, USA, 2018. Cognitive Computational Neuroscience.
[17] Christopher J. Bates, Ilker Yildirim, Joshua B. Tenenbaum, and Peter Battaglia. Modeling human intuitions about liquid flow with particle-based simulation. PLOS Computational Biology, 15(7):e1007210, 2019.
[18] Takahiro Kawabe, Kazushi Maruya, Roland Fleming, and Shin'ya Nishida. Seeing liquids from visual motion. Vision Research, 109, 08 2014.
[19] Vivian Paulun, Takahiro Kawabe, Shin'ya Nishida, and Roland Fleming. Seeing liquids from static snapshots. Vision research, 9, 02 2015.
[20] Jan Assen, Pascal Barla, and Roland Fleming. Visual features in the perception of liquids. Current Biology, 28, 01 2018.
[21] J Norman, Elizabeth Wiesemann, Hideko Norman, M Taylor, and Warren Craft. The visual discrimination of bending. Perception, 36:980-9, 02 2007.
[22] Takahiro Kawabe and Shin'ya Nishida. Seeing jelly: Judging elasticity of a transparent object. In Proceedings of the ACM Symposium on Applied Perception, SAP '16, page 121-128, New York, NY, USA, 2016. Association for Computing Machinery.