R. T. Pramod

According to our database, R. T. Pramod authored at least 6 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models.

Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas Hikaru Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas

CoRR, 2024

2022

Improving Machine Vision Using Human Perceptual Representations: The Case of Planar Reflection Symmetry for Object Classification.

R. T. Pramod, S. P. Arun

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

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

CoRR, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2018

Human peripheral blur is optimal for object recognition.

R. T. Pramod, Harish Katti, S. P. Arun

CoRR, 2018

2016

Do Computational Models Differ Systematically from Human Object Perception?

R. T. Pramod, S. P. Arun

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016