Navigation systems help users access unfamiliar environments. Current technological
advancements enable users to encapsulate these systems in handheld devices, which …

Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …

In this work, we present a novel data-driven method for robust 6DoF object pose estimation
from a single RGBD image. Unlike previous methods that directly regressing pose …

We introduce HybridPose, a novel 6D object pose estimation approach. HybridPose utilizes
a hybrid intermediate representation to express different geometric information in the input …

Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …

Reliable pose estimation of uncooperative satellites is a key technology for enabling future
on-orbit servicing and debris removal missions. The Kelvins Satellite Pose Estimation …

In this work, we tackle the essential problem of scale inconsistency for self supervised joint
depth-pose learning. Most existing methods assume that a consistent scale of depth and …

Lifelong place recognition is an essential and challenging task in computer vision with vast
applications in robust localization and efficient large-scale 3D reconstruction. Progress is …

We present 3DRegNet, a novel deep learning architecture for the registration of 3D scans.
Given a set of 3D point correspondences, we build a deep neural network to address the …