In recent years, advancements in machine learning (ML) techniques, in particular, deep
learning (DL) methods have gained a lot of momentum in solving inverse imaging problems …

Sequential decision making, commonly formalized as Markov Decision Process (MDP)
optimization, is an important challenge in artificial intelligence. Two key approaches to this …

Video Stabilization (VS) has been an active area of research in the last two decades. Many
approaches have been successfully proposed and it is time to take a step back and offer a …

We present a unified computational approach for taking photos through reflecting or
occluding elements such as windows and fences. Rather than capturing a single image, we …

Many existing video stabilization methods often stabilize videos off-line, ie as a
postprocessing tool of pre-recorded videos. Some methods can stabilize videos online, but …

This paper proposes a data-driven approach for image alignment. Our main contribution is a
novel network architecture that combines the strengths of convolutional neural networks …

Existing video stabilization methods often generate visible distortion or require aggressive
crop** of frame boundaries, resulting in smaller field of views. In this work, we present a …

Traffic signs are critical for maintaining the safety and efficiency of our roads. Therefore, we
need to carefully assess the capabilities and limitations of automated traffic sign detection …

We propose a novel algorithm for stitching multiple synchronized video streams into a single
panoramic video with spatial-temporal content-preserving war**. Compared to image …

In this paper, a miniature video stabilization system is designed to deal with the image jitter
and motion blur problem for flap**-wing aerial vehicles (FWAVs). First, a light and two-axis …