Object pose recovery has gained increasing attention in the computer vision field as it has
become an important problem in rapidly evolving technological areas related to autonomous …

Rotated object detection aims to identify and locate objects in images with arbitrary
orientation. In this scenario, the oriented directions of objects vary considerably across …

In robotic bin-picking applications, the perception of texture-less, highly reflective parts is a
valuable but challenging task. The high glossiness can introduce fake edges in RGB images …

Most successful approaches to estimate the 6D pose of an object typically train a neural
network by supervising the learning with annotated poses in real world images. These …

Accurate and efficient object pose estimation holds the indispensable part of
virtual/augmented reality (VR/AR) and many other applications. While previous works focus …

Smart cameras are an essential component in surveillance and monitoring applications, and
they have been typically deployed in networks of fixed camera locations. The addition of …

Active visual exploration aims to assist an agent with a limited field of view to understand its
environment based on partial observations made by choosing the best viewing directions in …

In this paper, we consider the problem where a drone has to collect semantic information to
classify multiple moving targets. In particular, we address the challenge of computing control …

Active interaction with environments is one of the striking characteristics of robotic active
vision, which allows robots to move to facilitate visual tasks. Recently, several embodied AI …

This paper proposes a novel strategy for lightweight 3D hand pose estimation. The strategy
decomposes the estimation process into feature extraction and feature exploitation, where …