Image/video stitching is a technology for solving the field of view (FOV) limitation of
images/videos. It stitches multiple overlap** images/videos to generate a wide-FOV …

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 …

Homography estimation is a basic image alignment method in many applications. It is
usually conducted by extracting and matching sparse feature points, which are error-prone …

Image stitching with large parallax is a challenging problem. Global alignment usually
introduces noticeable artifacts. A common strategy is to perform partial alignment to facilitate …

This paper presents a new method to synthesize an image from arbitrary views and times
given a collection of images of a dynamic scene. A key challenge for the novel view …

Recently, many video enhancement methods have been proposed to improve video quality
from different aspects such as color, brightness, contrast, and stability. Therefore, how to …

Homography estimation is an important step in many computer vision problems. Recently,
deep neural network methods have shown to be favorable for this problem when compared …

Abstract We propose Iterative Homography Network, namely IHN, a new deep homography
estimation architecture. Different from previous works that achieve iterative refinement by …

Video stabilization techniques are essential for most hand-held captured videos due to high-
frequency shakes. Several 2D-, 2.5 D-, and 3D-based stabilization techniques have been …

We present a method for converting first-person videos, for example, captured with a helmet
camera during activities such as rock climbing or bicycling, into hyper-lapse videos, ie, time …