AAAI 2023technical4 citations

Learning to See the Physical World

Jiajun Wu

Abstract

This paper is part of the AAAI-23 New Faculty Highlights. In my presentation, I will introduce my research goal, which is to build machines that see, interact with, and reason about the physical world just like humans. This problem, which we call physical scene understanding, involves three key topics that bridge research in computer science, AI, robotics, cognitive science, and neuroscience: Perception, Physical Interaction, and Reasoning.

BibTeX
@article{Wu_2024, title={Learning to See the Physical World}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/26827}, DOI={10.1609/aaai.v37i13.26827}, abstractNote={This paper is part of the AAAI-23 New Faculty Highlights. In my presentation, I will introduce my research goal, which is to build machines that see, interact with, and reason about the physical world just like humans. This problem, which we call physical scene understanding, involves three key topics that bridge research in computer science, AI, robotics, cognitive science, and neuroscience: Perception, Physical Interaction, and Reasoning.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Wu, Jiajun}, year={2024}, month={Jul.}, pages={15460-15460} }
Learning to See the Physical World · AAAI 2023