Point cloud registration is the process of aligning point clouds collected at different locations
of the same scene, which transforms the data into a common coordinate system and forms …

Estimating large extreme inter-image rotations is critical for numerous computer vision
domains involving images related by limited or non-overlapping fields of view. In this work …

An excellent representation is crucial for reinforcement learning (RL) performance,
especially in vision-based reinforcement learning tasks. The quality of the environment …

Image registration is a basic task in computer vision, for its wide potential applications in
image stitching, stereo vision, motion estimation, and etc. Most current methods achieve …

Deep neural networks (DNNs) have been revolutionizing various 3D processing fields, such
as autonomous driving and augmented reality. They also have a great potential to facilitate …

Reconstructing 3D objects is an important computer vision task that has wide application in
AR/VR. Deep learning algorithm developed for this task usually relies on an unrealistic …

The estimation of large and extreme image rotation plays a key role in multiple computer
vision domains, where the rotated images are related by a limited or a non-overlapping field …