Visual localization is a critical capability for autonomous systems, enabling them to accuratelyestimate their position and orientation within an environment using visual data. This thesis focuses
on achieving a robust and reliable visual localization on both local and global level to enhance
localization performance in a wide range of environments....
While the entire silicon industry has been blooming under Moore’s Law for decades, conventional digital implementation is approaching the “stall” of Moore’s Law due to many physical design limitations. Technology innovation now is going to take a different direction. Given the increasing demand for emerging applications' computational capacity, it is...
The study and design of machines that are able to analyze the auditory scene and organize sound into parts that are perceptually meaningful to humans is referred to as machine hearing. Such machines are expected to distinguish between different sound categories (e.g., speech, music, background noise), focus on a sound...
Convolutional neural networks have become a staple in computer vision and image processing tasks. The capacity for these networks to perform visual pattern recognition in a data-driven fashion has prompted explosive growth in a myriad of applications. That said, despite their popularity, there are still facets of these networks that...
Low-dimensional materials have emerged as a promising platform for ultrathin electronic and optoelectronic devices. The span of electronic properties covers the spectrum from metallic through small and medium bandgap semiconductors to large bandgap insulators, providing all the necessary components to fabricate a variety of devices. Compared to bulk-semiconductor based devices,...