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ACM Transactions on Applied Perception (TAP), ISSN 1544-3558, 01/2010, Volume 7, Issue 1, pp. 1 - 39
Journal Article
Paladyn, ISSN 2080-9778, 6/2011, Volume 2, Issue 2, pp. 64 - 70
This paper introduces Atentive Robots: robots that attend to the parts of their sensory input that are currently of most potential interest. The concept of... 
visual attention | cognitive robots | Behavioural Sciences | Computer Science | Artificial Intelligence (incl. Robotics) | saliency | Robotics and Automation | Technology application | Research | Robots | Robotics | Machine learning
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2006, Volume 3899, pp. 1 - 228
Conference Proceeding
FRONTIERS IN NEUROROBOTICS, ISSN 1662-5218, 07/2019, Volume 13, p. 60
We present an attention based visual analysis framework to compute grasp-relevant information which helps to guide grasp planning using a multi-fingered... 
visual attention | SYSTEM | deep learning | ROBOTICS | grasp planning | multi-fingered robotic hand | grasp type | MODEL | OBJECT | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neural networks | Analysis | Hands | Automation | Similarity measures | Attention | Robotics | Visual perception | Semantics | Computer applications | International conferences | Planning | Sensors | Robots | Heuristic
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2019, Volume 11129, pp. 716 - 729
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2015, Volume 9163, pp. 34 - 44
Conference Proceeding
International Journal of Social Robotics, ISSN 1875-4791, 3/2010, Volume 2, Issue 1, pp. 53 - 62
In this article, we present a component-based visual tracker for mobile platforms with an application to person tracking. The core of the technique is a... 
Engineering | Visual tracking | Person tracking | Control , Robotics, Mechatronics | Component-based tracking | ROBOTICS | MODEL | ACQUISITION
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2019, Volume 11362, pp. 678 - 694
Conference Proceeding
11/2018
We propose a novel approach for class-agnostic object proposal generation, which is efficient and especially well-suited to detect small objects. Efficiency is... 
Computer Science - Computer Vision and Pattern Recognition
Journal Article
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2015, Volume 7-12-, pp. 82 - 90
In this paper, we show that the seminal, biologically-inspired saliency model by Itti et al. [21] is still competitive with current state-of-the-art methods... 
Computed tomography | Smoothing methods | Computer vision | State of the art | Mobile communication systems | Maps | Conferences | Segmentation | Benchmarking | Pattern recognition
Conference Proceeding
2010 IEEE International Conference on Robotics and Automation, ISSN 1050-4729, 05/2010, pp. 4531 - 4536
In this paper, we present a component-based visual object tracker for mobile platforms. The core of the technique is a component-based descriptor that captures... 
Histograms | Target tracking | Robot vision systems | Lighting | Humans | Cameras | Robustness | Mobile robots | Particle tracking | Robotics and automation
Conference Proceeding
Computer Vision and Image Understanding, ISSN 1077-3142, 2005, Volume 100, Issue 1, pp. 124 - 151
Journal Article
04/2017
In application domains such as robotics, it is useful to represent the uncertainty related to the robot's belief about the state of its environment. Algorithms... 
Computer Science - Computer Vision and Pattern Recognition
Journal Article
2011 International Conference on Computer Vision, ISSN 1550-5499, 11/2011, pp. 2214 - 2219
In this paper, we introduce a new method to detect salient objects in images. The approach is based on the standard structure of cognitive visual attention... 
Visualization | Histograms | Image color analysis | Databases | Computational modeling | Humans | Entropy
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2017, Volume 10496, pp. 333 - 344
Conference Proceeding
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