David Vernon

发表

A Conceptual Framework for Developmental Cognitive Systems

David Vernon, Claes von Hofsten, Luciano Fadiga, 2010 .

VIS: A virtual image system for image‐understanding research

Giulio Sandini, David Vernon, G. Sandini, 1988, Softw. Pract. Exp..

Optical device for computation of binocular stereo disparity with a single static camera

David Vernon, 2003, SPIE OPTO-Ireland.

Philosophical Foundations of AI

David Vernon, Dermot Furlong, D. Vernon, 2006, 50 Years of Artificial Intelligence.

The Hows and Whys of Effective Interdisciplinarity

Giulio Sandini, David Vernon, 2014 .

Cognitive System

David Vernon, D. Vernon, 2014, Computer Vision, A Reference Guide.

Rendering Inversion in the Automated Construction of Virtual Environments

David Vernon, Robert J. Schalkoff, Robert Geist, 1998 .

Two Ways (Not) To Design a Cognitive Architecture

David Vernon, 2016, EUCognition.

On the usefulness of optical flow for robotic part manipulation

David Vernon, Massimo Tistarelli, Kenneth M. Dawson, 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

Industrial Priorities for Cognitive Robotics

Markus Vincze, David Vernon, 2016, EUCognition.

Using neural networks to learn hand-eye co-ordination

David Vernon, Marggie Jones, Marggie Jones, 1994, Neural Computing & Applications.

Two-dimensional object recognition using partial contours

David Vernon, D. Vernon, 1987, Image Vis. Comput..

Cognitive Vision: the Case for Embodied Perception

David Vernon, D. Vernon, David Vernon, 2005 .

Model-based 3-D object recognition using scalar transform descriptors

David Vernon, Kenneth Dawson, 1992, Other Conferences.

Data Fusion Applications: Workshop Proceedings Brussels, November 25, 1992

David Vernon, S. Pfleger, J. Gonçalvesd, 1993 .

3-D Object Recognition using Passively Sensed Range Data

David Vernon, Kenneth M. Dawson, 1992, ECCV.

iCub: the design and realization of an open humanoid platform for cognitive and neuroscience research

Nikolaos G. Tsagarakis, Giulio Sandini, Ludovic Righetti, 2007, Adv. Robotics.

A real time simulated human vision system using connectionist models applied to target tracking

David Vernon, Hidenori Inouchi, Niall McLoghlin, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Using camera motion to estimate range for robotic parts manipulation

David Vernon, Massimo Tistarelli, 1990, IEEE Trans. Robotics Autom..

The relevance of emergent models in application-driven research

David Vernon, Serge Thill, 2014 .

Fronto-Parallel Binocular Vision

David Vernon, 2001 .

Pose estimation for objects with planar surfaces using eigenimage and range data analysis

David Vernon, Paul F. Whelan, Ovidiu Ghita, 2007, Machine Vision and Applications.

Range Estimation Of Parts In Bins Using Camera Motion

David Vernon, Massimo Tistarelli, 1988, Optics & Photonics.

Goal-directed Action and Eligible Forms of Embodiment

David Vernon, 2013 .

Segmentation in Dynamic Image Sequences by Isolation of Coherent Wave Profiles

David Vernon, 1996, ECCV.

An Architecture-oriented Approach to System Integration in Collaborative Robotics Research Projects — An Experience Report

Tom Ziemke, David Vernon, Serge Thill, 2015 .

The Space of Cognitive Vision

David Vernon, 2006, Cognitive Vision Systems.

Visual Cognition

David Vernon, 2014, Computer Vision, A Reference Guide.

Computation of instantaneous optical flow using the phase of Fourier components

David Vernon, 1999, Image Vis. Comput..

Limitations of Scientific Ontology

David Vernon, Dermot Furlong, 1992 .

Monocular Vision — Segmentation in Additive Images

David Vernon, 2001 .

EEG biofeedback and optimal performance

David Vernon, 2010 .

A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents

Giulio Sandini, Giorgio Metta, David Vernon, 2007, IEEE Transactions on Evolutionary Computation.

Prospection in Cognition: The Case for Joint Episodic-Procedural Memory in Cognitive Robotics

Giulio Sandini, Michael Beetz, David Vernon, 2015, Front. Robot. AI.

Modality switching and negation: ERP evidence for modality-specific simulations during negation processing

David Vernon, Alan Garnham, Lea A. Hald, 2011 .

A Roadmap for Cognitive Development in Humanoid Robots

David Vernon, Claes von Hofsten, Luciano Fadiga, 2011, Cognitive Systems Monographs.

Reconciling Autonomy with Utility: A Roadmap and Architecture for Cognitive Development

David Vernon, D. Vernon, 2011, BICA.

RobotCub: an open framework for research in embodied cognition

Giulio Sandini, Giorgio Metta, David Vernon, 2004, 4th IEEE/RAS International Conference on Humanoid Robots, 2004..

The iCub Cognitive Architecture

David Vernon, Claes von Hofsten, Luciano Fadiga, 2010 .

The role of cognitive architectures in general artificial intelligence

David Vernon, Mehul Bhatt, Antonio Lieto, 2018, Cognitive Systems Research.

Machine vision - automated visual inspection and robot vision

David Vernon, D. Vernon, 1991 .

How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder

Tom Ziemke, Honghai Liu, Yinfeng Fang, 2017, Paladyn J. Behav. Robotics.

Guest editor : Coastal Impressions

David Vernon, John Rollo, 2002 .

Proceedings of the 6th European Conference on Computer Vision-Part I

David Vernon, 2000 .

Monocular Vision — Segmentation in Occluding Images

David Vernon, 2001 .

Instantaneous Optical Flow

David Vernon, 2001 .

Proceedings of the 4th International Workshop on Artificial Intelligence and Cognition co-located with the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2016), New York City, NY, USA, July 16-17, 2016

David Vernon, Mehul Bhatt, Antonio Lieto, 2017, AIC.

How to Design Emergent Models of Cognition for Application-Driven Artificial Agents

David Vernon, Serge Thill, D. Vernon, 2016 .

The Role of Intention in Cognitive Robotics

Tom Ziemke, David Vernon, Serge Thill, 2016, Toward Robotic Socially Believable Behaving Systems.

Cognitive Vision

David Vernon, 2014, Computer Vision, A Reference Guide.

A system for robot manipulation of electrical wires using vision

David Vernon, D. Vernon, 1990, Robotica.

Articulated Binocular Vision

David Vernon, 2001 .

Enaction as a conceptual framework for developmental cognitive robotics

David Vernon, D. Vernon, 2010, Paladyn J. Behav. Robotics.

A Holarchical Approach to Robot Vision

David Vernon, D. Vernon, 1986, Other Conferences.

Research road map

David Vernon, Claes von Hofsten, Luciano Fadiga, 2010 .

Decoupled Optical Flow

David Vernon, 2001 .

The iCub Cognitive Humanoid Robot: An Open-System Research Platform for Enactive Cognition

Giulio Sandini, Giorgio Metta, David Vernon, 2006, 50 Years of Artificial Intelligence.

Computational Models of Cognition

David Vernon, Claes von Hofsten, Luciano Fadiga, 2010 .

Decoupling Fourir Components of Dynamic Image Sequences: A Theory of Signal Separation, Image Segmentation, and Optical Flow Estimation

David Vernon, D. Vernon, 1998, ECCV.

Improving quantum efficiency and spectral resolution of a CCD through direct manipulation of the depletion region

David Vernon, Richard M. Ambrosi, Olivier Godet, 2008, Astronomical Telescopes + Instrumentation.

Machine vision

David Vernon, 1991 .

Knowledge and Representation

David Vernon, 2014 .

Una panoramica dei sistemi cognitivi artificiali

Giulio Sandini, Giorgio Metta, David Vernon, 2007 .

Cognitive Vision - The Development of a Discipline

David Vernon, D. Vernon, 2005, Künstliche Intell..

Computer vision : craft, engineering, and science : workshop proceedings, Killarney, Ireland, September 9/10, 1991

David Vernon, 1994 .

Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model Perspective.

Michael Beetz, David Vernon, Helge Ritter, 2021, Topics in cognitive science.

Feeling Functional: A Formal Account of Artificial Phenomenology

Lorijn Zaadnoordijk, David Vernon, Tarek R. Besold, 2021, J. Artif. Intell. Conscious..

Human Potential: Exploring Techniques Used to Enhance Human Performance

David Vernon, D. Vernon, 2009 .

Semantic interference from visual object recognition on visual imagery.

David Vernon, D. Vernon, T. Lloyd-Jones, 2003, Journal of experimental psychology. Learning, memory, and cognition.

Neurofeedback: refining the methodology of brain-computer interface training.

David Vernon, D. Vernon, T. Dempster, 2012 .

The right tool for the right task: structured techniques prove less effective on an ill-defined problem finding task

David Vernon, I. Hocking, D. Vernon, 2017 .

Embodiment in cognitive systems: on the mutual dependence of cognition and robotics

Giulio Sandini, Giorgio Metta, David Vernon, 2010 .

Neurofeedback as a Treatment for ADHD: A Methodological Review with Implications for Future Research

David Vernon, John Gruzelier, D. Vernon, 2004 .

Beyond belief: Structured techniques prove more effective than a placebo intervention in a problem construction task

David Vernon, I. Hocking, D. Vernon, 2016 .

A novel self-guided approach to alpha activity training.

David Vernon, Vojkan Mihajlović, D. Vernon, 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

Embodiment is a Double-Edged Sword in Human-Robot Interaction : Ascribed vs. Intrinsic Intentionality

Tom Ziemke, David Vernon, Serge Thill, 2015, HRI 2015.

Alpha Neurofeedback Training for Performance Enhancement: Reviewing the Methodology

David Vernon, D. Vernon, N. Rutterford, 2009 .

Neurofeedback: using computer technology to alter brain functioning

David Vernon, 2008 .

Sensing-Enhanced Therapy System for Assessing Children With Autism Spectrum Disorders: A Feasibility Study

Tom Ziemke, Yinfeng Fang, David Vernon, 2019, IEEE Sensors Journal.