Knowledge distillation (KD) is a widely adopted technique for taking larger, more accurate models and compressing the information into smaller, more agile models. This pa[...]

Recent advances in Deep Learning have made possible distributed multi-camera IoT vision analytics targeted at a variety of surveillance applications involving automated r[...]

Vision impairment affects nearly 2.2 billion people globally, and nearly half of these cases could be prevented with early diagnosis and intervention—underscoring the urg[...]

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 [...]

Recent years have brought great advancement in 2D human pose estimation. However,bottom-up approaches that do not rely on external detectors to generate personcrops, tend[...]

The rise of AI powered computer vision algorithms offers the possibility of intelligent data processing, and decision making based on streaming data from video cameras. A[...]

Artificial Intelligence (AI) has rapidly expanded the capabilities of video understanding, yet real deployments must contend with scale, latency, privacy, and constantly [...]

A highly accurate modeling of power electronic devices is of considerable significanceto the health management and maintenance of power converter equipment. Thereliabili[...]

The last decade has witnessed tremendous advances in cloud computing, IoT, and computer vision. IoT computer vision brings powerful capabilities that enables society to t[...]

Given multiple budget and revenue constraints that the transportation sector encounters, predictive analytics enables maintenance agencies to make effective decisions, pr[...]