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ORCIDJudith E. Fan
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2020 – today
- 2024
[c38]William P. McCarthy
, Justin Matejka, Karl D. D. Willis, Judith E. Fan, Yewen Pu:
Communicating Design Intent Using Drawing and Text. Creativity & Cognition 2024: 512-519- [c37]Holly Huey, Mackenzie Leake, Deepali Aneja, Matthew Fisher, Judith E. Fan:
How do video content creation goals impact which concepts people prioritize for generating B-roll imagery? Creativity & Cognition 2024: 542-549 - [c36]Rahul 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:
Understanding Physical Dynamics with Counterfactual World Modeling. ECCV (24) 2024: 368-387 - [i13]Yael Vinker, Tamar Rott Shaham, Kristine Zheng, Alex Zhao, Judith E. Fan, Antonio Torralba:
SketchAgent: Language-Driven Sequential Sketch Generation. CoRR abs/2411.17673 (2024) - 2023
- [j2]William P. McCarthy, David Kirsh, Judith E. Fan:
Consistency and Variation in Reasoning About Physical Assembly. Cogn. Sci. 47(12) (2023) - [c35]Felix Jedidja Binder, Logan Matthew Cross, Yoni Friedman, Robert D. Hawkins, Daniel L. K. Yamins, Judith E. Fan:
Advancing Cognitive Science and AI with Cognitive-AI Benchmarking. CogSci 2023 - [c34]Felix Jedidja Binder, Marcelo Gomes Mattar, David Kirsh, Judith E. Fan:
Humans choose visual subgoals to reduce cognitive cost. CogSci 2023 - [c33]Holly Huey, Lauren Oey, Hannah Lloyd, Judith E. Fan:
How do communicative goals guide which data visualizations people think are effective? CogSci 2023 - [c32]Hannah Lloyd, Holly Huey, Erik Brockbank, Lace M. K. Padilla, Judith E. Fan:
What is graph comprehension and how do you measure it? CogSci 2023 - [c31]Julio Martinez, Felix Jedidja Binder, Haoliang Wang, Nick Haber, Judith E. Fan, Daniel Yamins:
Measuring and Modeling Physical Intrinsic Motivation. CogSci 2023 - [c30]Marcelo Gomes Mattar, Judith E. Fan, Wai Keen Vong, Lionel Wong:
How does the mind discover useful abstractions? CogSci 2023 - [c29]Kushin Mukherjee, Xuanchen Lu, Holly Huey, Yael Vinker, Rio Aguina-Kang, Ariel Shamir, Judith E. Fan:
Evaluating machine comprehension of sketch meaning at different levels of abstraction. CogSci 2023 - [c28]Kristian Tylén, Mathias Sablé-Meyer, Judith E. Fan, Michelle C. Langley:
Marks and Meanings: new perspectives on the evolution of human symbolic behavior. CogSci 2023 - [c27]Xuanchen Lu, Xiaolong Wang, Judith E. Fan:
Learning Dense Correspondences between Photos and Sketches. ICML 2023: 22899-22916 - [c26]Kushin Mukherjee, Holly Huey, Xuanchen Lu, Yael Vinker, Rio Aguina-Kang, Ariel Shamir, Judith E. Fan:
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction. NeurIPS 2023 - [c25]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. NeurIPS 2023 - [i12]Julio Martinez, Felix J. Binder, Haoliang Wang, Nick Haber, Judith E. Fan, Daniel L. K. Yamins:
Measuring and Modeling Physical Intrinsic Motivation. CoRR abs/2305.13452 (2023) - [i11]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. CoRR abs/2306.15668 (2023) - [i10]Xuanchen Lu, Xiaolong Wang, Judith E. Fan:
Learning Dense Correspondences between Photos and Sketches. CoRR abs/2307.12967 (2023) - [i9]Kushin Mukherjee, Holly Huey, Xuanchen Lu, Yael Vinker, Rio Aguina-Kang, Ariel Shamir, Judith E. Fan:
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction. CoRR abs/2312.03035 (2023) - [i8]Rahul 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:
Counterfactual World Modeling for Physical Dynamics Understanding. CoRR abs/2312.06721 (2023) - 2022
- [c24]Erik Brockbank, Haoliang Wang, Justin Yang, Suvir Mirchandani, Erdem Biyik, Dorsa Sadigh, Judith E. Fan:
How do people incorporate advice from artificial agents when making physical judgments? CogSci 2022 - [c23]Holly Huey, Bria Long, Justin Yang, Kaylee R. George, Judith E. Fan:
Developmental changes in the semantic part structure of drawn objects. CogSci 2022 - [c22]Kushin Mukherjee, Holly Huey, Timothy T. Rogers, Judith E. Fan:
From Images to Symbols: Drawing as a Window into the Mind. CogSci 2022 - [c21]Maneesha Nagabandi, Justin Yang, Holly Huey, Judith E. Fan:
Decomposing objects into parts from vision and language. CogSci 2022 - [c20]Haoliang Wang, Kelsey R. Allen, Ed Vul, Judith E. Fan:
Generalizing physical prediction by composing forces and objects. CogSci 2022 - [c19]Haoliang Wang, Jane Yang, Ronen Tamari, Judith E. Fan:
Communicating understanding of physical dynamics in natural language. CogSci 2022 - [c18]Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan:
Identifying concept libraries from language about object structure. CogSci 2022 - [i7]Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan:
Identifying concept libraries from language about object structure. CoRR abs/2205.05666 (2022) - [i6]Erik Brockbank, Haoliang Wang, Justin Yang, Suvir Mirchandani, Erdem Biyik, Dorsa Sadigh, Judith E. Fan:
How do people incorporate advice from artificial agents when making physical judgments? CoRR abs/2205.11613 (2022) - 2021
- [c17]Felix Jedidja Binder, Marcelo Gomes Mattar, David Kirsh, Judith E. Fan:
Visual scoping operations for physical assembly. CogSci 2021 - [c16]Cameron Holdaway, Daniel M. Bear, Samaher Radwan, Michael C. Frank, Daniel L. K. Yamins, Judith E. Fan:
Measuring and predicting variation in the interestingness of physical structures. CogSci 2021 - [c15]Sebastian Holt, David Barner, Judith E. Fan:
Improvised Numerals Rely on 1-to-1 Correspondence. CogSci 2021 - [c14]Holly Huey, Caren M. Walker, Judith E. Fan:
How do the semantic properties of visual explanations guide causal inference? CogSci 2021 - [c13]George Kachergis, Samaher Radwan, Bria Long, Judith E. Fan, Michael Lingelbach, Daniel M. Bear, Daniel L. K. Yamins, Michael C. Frank:
Predicting children's and adults' preferences in physical interactions via physics simulation. CogSci 2021 - [c12]William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan:
Learning to communicate about shared procedural abstractions. CogSci 2021 - [c11]William P. McCarthy, Marcelo Gomes Mattar, David Kirsh, Judith E. Fan:
Connecting perceptual and procedural abstractions in physical construction. CogSci 2021 - [c10]Haoliang Wang, Nadia Polikarpova, Judith E. Fan:
Learning part-based abstractions for visual object concepts. CogSci 2021 - [c9]Haoliang Wang, Ed Vul, Nadia Polikarpova, Judith E. Fan:
Theory Acquisition as Constraint-Based Program Synthesis. CogSci 2021 - [c8]Justin Yang, Judith E. Fan:
Visual communication of object concepts at different levels of abstraction. CogSci 2021 - [c7]Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks 2021 - [i5]Justin Yang, Judith E. Fan:
Visual communication of object concepts at different levels of abstraction. CoRR abs/2106.02775 (2021) - [i4]Felix J. Binder, Marcelo M. Mattar, David Kirsh, Judith E. Fan:
Visual scoping operations for physical assembly. CoRR abs/2106.05654 (2021) - [i3]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:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. CoRR abs/2106.08261 (2021) - [i2]William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan:
Learning to communicate about shared procedural abstractions. CoRR abs/2107.00077 (2021) - [i1]Robert D. Hawkins, Megumi Sano, Noah D. Goodman, Judith E. Fan:
Visual resemblance and communicative context constrain the emergence of graphical conventions. CoRR abs/2109.13861 (2021) - 2020
- [c6]William P. McCarthy, David Kirsh, Judith E. Fan:
Learning to build physical structures better over time. CogSci 2020 - [c5]Xiaotong (Tone) Xu, Judith E. Fan, Steven P. Dow:
Schema and Metadata Guide the Collective Generation of Relevant and Diverse Work. HCOMP 2020: 178-182
2010 – 2019
- 2019
- [c4]Judith E. Fan, Monica Dinculescu, David Ha:
collabdraw: An Environment for Collaborative Sketching with an Artificial Agent. Creativity & Cognition 2019: 556-561 - 2018
- [j1]Judith E. Fan, Daniel L. K. Yamins, Nicholas B. Turk-Browne:
Common Object Representations for Visual Production and Recognition. Cogn. Sci. 42(8): 2670-2698 (2018) - [c3]Bria Long, Judith E. Fan, Michael C. Frank:
Drawings as a window into developmental changes in object representations. CogSci 2018 - 2015
- [c2]Judith E. Fan, Daniel Yamins, Nicholas B. Turk-Browne:
Common object representations for visual recognition and production. CogSci 2015 - 2014
- [c1]Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne:
Mapping core similarity among visual objects across image modalities. SIGGRAPH Posters 2014: 67:1
Coauthor Index
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