Every object emits radiation depending of their temperature. Objects between 300K to 100K emit radiation in the infrared range (1-12µm). These radiations cannot be seen by the human eyes. Infrared detectors find applications in many aspects of life, from night vision and target tracking for homeland security and defense, to...
A core problem in many computer vision applications is visual recognition (including object classification, detection and localization). Recent advances in artificial neural networks (aka ”deep learning”) have significantly pushed forward the state-of-the-art visual recognition performances. However, due to the lack of semantic structure modeling, most current deep learning approaches do...
Since Infrared radiation was discovered in 1800s, the research and applications on the infrared regime have been continually developed. The infrared detectors are the key technology in these applications and have been successfully used for medical imaging, light detection and ranging (LiDAR), free-space optical communication, target tracking and object identification...
Super-resolution (SR) has become one of the most critical problems in image and video processing. In Chapter 2 of this thesis, a detailed review of existing Deep Learning (DL) techniques for addressing the SR task, with an emphasis on how DL and analytical techniques can be combined, is provided. Chapter...
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...
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,...
Demand Response (DR) is an approach that allows electricity users to actively participate in keeping supply-demand balance in power systems, or its future version, smart grid, in order to increase the system efficiency, lower consumers' electricity bills, and thus improve social welfare. To encourage users' participation in DR, a time-varying...
Radiofrequency ablation is a minimally-invasive treatment method that aims to destroy undesired tissue by exposing it to alternating current in the 100 kHz to 800 kHz frequency range and heating it until it is destroyed via coagulative necrosis. Ablation treatment is gaining momentum especially in cancer research, where the undesired...
Hybrid pixel detectors, comprising of pixelated sensors coupled to readout integrated circuits (ROICs) with complex in-pixel processing, are essential for many of today’s scientific instruments and imaging systems. Large-area detectors are required in a variety of systems: from detectors for synchrotron beamlines to telescopes for astronomy, which range from a...
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....