Single image depth estimation has always been a key interest in computer visioncommunity. Although depth estimation from a single monocular image still is anill-posed pr[...]

There has been an ever growing interest in leveraging state of the art deep learning techniques for tracking objects in video frames. Such works primarily focus on using [...]

This thesis proposes a novel method to recover depth of scene objects using an acoustic source and a calibrated neuromorphic camera or event camera sensor. The proposed s[...]

The roads and highways are a valuable asset for the state department of transportation. It takes massive investment and a huge amount of time to maintain the road assets [...]

Vision based Activity Detection is concerned with the automatic extraction, analysis and understanding of useful information from a sequence of images. It involves the de[...]

ABSTRACTNOURELISLAM ZOUAR. ANOMALY DETECTION FOR MANUFACTURING APPLICATIONS USING CONVOLUTIONAL AUTOENCODERS. (Under the direction of DR. MIN SHIN) Anomaly Detection in m[...]

Several new goodness-of-fit tests are proposed on countable alphabets, where certain fundamental statistical concepts associated with random variables, such as cumulative[...]

Object detection in high-resolution aerial images is a challenging task because of1) the large variation in object size, and 2) non-uniform distribution of objects. A com[...]

This report motivates the roles of Cloud computing, Edge computing, and thehierarchically distributed cooperative Fog computing, for the real-time analysis ofbig-data in [...]

The need for autonomous vehicles that do not operate on highways and can move off-road is increasing. While there have been significant advancements in autonomous passeng[...]