Part-object relational visual saliency

Y Liu, D Zhang, Q Zhang, J Han - IEEE transactions on pattern …, 2021 - ieeexplore.ieee.org
Recent years have witnessed a big leap in automatic visual saliency detection attributed to
advances in deep learning, especially Convolutional Neural Networks (CNNs). However …

Integrating part-object relationship and contrast for camouflaged object detection

Y Liu, D Zhang, Q Zhang, J Han - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Object detectors that solely rely on image contrast are struggling to detect camouflaged
objects in images because of the high similarity between camouflaged objects and their …

Pick-place of dynamic objects by robot manipulator based on deep learning and easy user interface teaching systems

D Hossain, G Capi, M **dai, S Kaneko - Industrial Robot: An …, 2017 - emerald.com
Purpose Development of autonomous robot manipulator for human-robot assembly tasks is
a key component to reach high effectiveness. In such tasks, the robot real-time object …

Vision for robotics

D Kragic, M Vincze - Foundations and Trends® in Robotics, 2009 - nowpublishers.com
Robot vision refers to the capability of a robot to visually perceive the environment and use
this information for execution of various tasks. Visual feedback has been used extensively …

Efficient 3D object detection by fitting superquadrics to range image data for robot's object manipulation

G Biegelbauer, M Vincze - Proceedings 2007 IEEE …, 2007 - ieeexplore.ieee.org
Fast detection of objects in a home or office environment is relevant for robotic service and
assistance applications. In this work we present the automatic localization of a wide variety …

A model-based approach to finding substitute tools in 3d vision data

P Abelha, F Guerin, M Schoeler - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
A robot can feasibly be given knowledge of a set of tools for manipulation activities (eg
hammer, knife, spatula). If the robot then operates outside a closed environment it is likely to …

Reconstructing Superquadrics from Intensity and Color Images

D Tomašević, P Peer, F Solina, A Jaklič, V Štruc - Sensors, 2022 - mdpi.com
The task of reconstructing 3D scenes based on visual data represents a longstanding
problem in computer vision. Common reconstruction approaches rely on the use of multiple …

Mamba capsule routing towards part-whole relational camouflaged object detection

D Zhang, L Cheng, Y Liu, X Wang, J Han - ar**
D Hossain, G Capi, M **dai - Procedia Computer Science, 2017 - Elsevier
Robot object recognition and gras** is an important research area in robotics. Recently,
deep learning is gaining popularity as a powerful mechanism for object recognition. Deep …