With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Young children develop sophisticated internal models of the world based on their visual experience. Can such models be learned from a child’s visual experience without strong inductive biases? To ...

We hypothesize that intense visual stimulation via extensive consumption of visual media enhances visual information processing and improves the acquisition of a motor skill with visual information ...

In the dynamic landscape of learning in the digital age, K-12 educators are increasingly leveraging technology tools to enhance teaching and learning experiences. These tools, ranging from interactive ...

Demonstration of different visual-inertial odometry methods: (a) traditional VIO methods, which rely on handcrafted features and geometry-based optimization; (b) existing deep learning-based methods, ...