Daniel M. Bear

12 papers B 3Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Understanding Physical Dynamics with Counterfactual World Modeling.
ECCV (24)
Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins
2023 J jnl
Counterfactual World Modeling for Physical Dynamics Understanding.
CoRR
Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins
2023 J jnl
Unifying (Machine) Vision via Counterfactual World Modeling.
CoRR
Daniel M. Bear, Kevin T. Feigelis, Honglin Chen, Wanhee Lee, Rahul Mysore Venkatesh, Klemen Kotar, Alex Durango, Daniel L. K. Yamins
2022 B conf
Benchmarking mid-level vision with texture-defined 3D objects.
CogSci
Yoni Friedman, Thomas P. O'Connell, Max H. Siegel, Daniel M. Bear, Tuan Anh Le, Bernhard Egger, Josh Tenenbaum
2022 J jnl
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition.
Neural Comput.
Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins
2022 — conf
Unsupervised Segmentation in Real-World Images via Spelke Object Inference.
ECCV (29)
Honglin Chen, Rahul Mysore Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear
2022 J jnl
Unsupervised Segmentation in Real-World Images via Spelke Object Inference.
CoRR
Honglin Chen, Rahul Mysore Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear
2021 B conf
Measuring and predicting variation in the interestingness of physical structures.
CogSci
Cameron Holdaway, Daniel M. Bear, Samaher Radwan, Michael C. Frank, Daniel L. K. Yamins, Judith E. Fan
2021 J jnl
Physion: Evaluating Physical Prediction from Vision in Humans and Machines.
CoRR
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, Judith E. Fan
2021 B conf
Predicting children's and adults' preferences in physical interactions via physics simulation.
CogSci
George Kachergis, Samaher Radwan, Bria Long, Judith E. Fan, Michael Lingelbach, Daniel M. Bear, Daniel L. K. Yamins, Michael C. Frank
2020 J jnl
Learning Physical Graph Representations from Visual Scenes.
CoRR
Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins
2020 J jnl
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.
CoRR
Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins