Mircea Nicolescu

发表

Vehicle classification framework: online classification with tracking

Mircea Nicolescu, Amol Ambardekar, 2012 .

Analysis and Interpretation of Multiple Motions Through Surface Saliency

Gérard G. Medioni, Mircea Nicolescu, Changki Min, 2004, SCVMA.

A biologically inspired approach to learning spatio-temporal patterns

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

A Control Architecture for Long-Term Autonomy of Robotic Assistants

Monica N. Nicolescu, Mircea Nicolescu, Christopher King, 2007, ISVC.

A Component-Based Approach to Hand Verification

Mircea Nicolescu, George Bebis, Gholamreza Amayeh, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Models of intention for human-robot interaction

Mircea Nicolescu, Richard Kelley, Monica Nicolescu, 2013 .

A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2008, Int. J. Artif. Intell. Tools.

Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2014, AGI.

Feature Fusion Hierarchies for gender classification

Mircea Nicolescu, Alireza Tavakkoli, Fabien Scalzo, 2008, 2008 19th International Conference on Pattern Recognition.

Multinomial HMMs for Intent Recognition in Maritime Domains

Monica N. Nicolescu, Mircea Nicolescu, Logan Carlson, 2019, AAMAS.

A voting-based computational framework for visual motion analysis and interpretation

Gérard G. Medioni, Mircea Nicolescu, G. Medioni, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep networks for predicting human intent with respect to objects

Monica N. Nicolescu, Mircea Nicolescu, Brian Hamilton, 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2015, HRI.

Smart Monitoring of Complex Public Scenes

Daniele Nardi, Mircea Nicolescu, Dorothy Ndedi Monekosso, 2011, AAAI Fall Symposium: Robot-Human Teamwork in Dynamic Adverse Environment.

Collaborative Human-Robot Hierarchical Task Execution with an Activation Spreading Architecture

Monica N. Nicolescu, Mircea Nicolescu, David Feil-Seifer, 2019, ICSR.

Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds

Mircea Nicolescu, Alireza Tavakkoli, George Bebis, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds

Mircea Nicolescu, George Bebis, Leandro A. Loss, 2007, BMVC.

Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns

Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis, 2016, Neural Computing and Applications.

An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2015, J. Intell. Robotic Syst..

Failure modes analysis of railway wheel

Mircea Nicolescu, Marius-Adrian Spiroiu, M. Spiroiu, 2018 .

A real-time spike-timing classifier of spatio-temporal patterns

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2018, Neurocomputing.

A vision-based architecture for long-term human-robot interaction

Mircea Nicolescu, Christopher King, Xavier Palathingal, 2007 .

Perceptual Grouping Based on Iterative Multi-scale Tensor Voting

Mircea Nicolescu, George Bebis, Alexei N. Skourikhine, 2006, ISVC.

Ground Truth Verification Tool (GTVT) for Video Surveillance Systems

Mircea Nicolescu, Sergiu M. Dascalu, Amol Ambardekar, 2009, 2009 Second International Conferences on Advances in Computer-Human Interactions.

Vision-based hand pose estimation: A review

Mircea Nicolescu, George Bebis, Ali Erol, 2007, Comput. Vis. Image Underst..

Commentary Paper 1 on “Action Signature: A Novel Holistic Representation for Action Recognition”

Mircea Nicolescu, 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

Smart Monitoring of Complex Public Scenes Collaboration between Human Guards, Security Network and Robotic Platforms

Mircea Nicolescu, Paolo Remagnino, Luca Iocchi, 2011, AAAI 2011.

Visual traffic surveillance framework: classification to event detection

Monica N. Nicolescu, Mircea Nicolescu, George Bebis, 2013, J. Electronic Imaging.

Human Body Parts Tracking using Torso Tracking

Mircea Nicolescu, Aras Dargazany, M. Nicolescu, 2012, ICIT 2012.

Hand-based verification and identification using palm-finger segmentation and fusion

Mircea Nicolescu, George Bebis, Gholamreza Amayeh, 2009, Comput. Vis. Image Underst..

Motion segmentation with accurate boundaries - a tensor voting approach

Gérard G. Medioni, Mircea Nicolescu, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Gender classification from hand shape

Mircea Nicolescu, George Bebis, Gholamreza Amayeh, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Commentary Paper 1 on "A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling"

Mircea Nicolescu, 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

An Extended Local Binary Pattern for Gender Classification

Monica N. Nicolescu, Mircea Nicolescu, Abbas Roayaei Ardakany, 2013, 2013 IEEE International Symposium on Multimedia.

A Developmental Approach to Concept Learning

Monica N. Nicolescu, Mircea Nicolescu, Liesl Wigand, 2013, ICINCO.

Non-parametric statistical background modeling for efficient foreground region detection

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2008, Machine Vision and Applications.

Automatic evaluation of skin histopathological images for melanocytic features

Mircea Nicolescu, Seyed Pourya Hoseini Alinodehi, Zahra Safaei Naraghi, 2017, Medical Imaging.

Context-based intent understanding using an Activation Spreading architecture

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Vehicle classification framework: a comparative study

Monica N. Nicolescu, Mircea Nicolescu, George Bebis, 2014, EURASIP J. Image Video Process..

Understanding human intentions via Hidden Markov Models in autonomous mobile robots

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Grammar-based robot control

Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley, 2009, AAMAS.

Segmentation, tracking and interpretation using panoramic video

Mi-Suen Lee, Mircea Nicolescu, Gerard Medioni, 2000, Proceedings IEEE Workshop on Omnidirectional Vision (Cat. No.PR00704).

RECOGNIZING SIMPLE HUMAN ACTIONS USING 3D HEAD MOVEMENT

Monica N. Nicolescu, Mircea Nicolescu, George Bebis, 2007, Comput. Intell..

Commentary Paper 2 on "Automatic Detection of Adverse Weather Conditions in Traffic Scenes"

Mircea Nicolescu, 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

Context-Based Intent Understanding for Autonomous Systems in Naval and Collaborative Robot Applications

Mircea Nicolescu, Sushil J. Louis, Monica Nicolescu, 2013 .

GlobeAll: panoramic video for an intelligent room

Gérard G. Medioni, Mircea Nicolescu, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Performance Analysis of Keypoint Detectors and Binary Descriptors Under Varying Degrees of Photometric and Geometric Transformations pdf

Pourya Hoseini, Mircea Nicolescu, Monica Nicolescu, 2020, ArXiv.

Active Eye-in-Hand Data Management to Improve the Robotic Object Detection Performance

Pourya Hoseini, Mircea Nicolescu, David Feil-Seifer, 2019, Comput..

Peg-Free Hand Shape Verification Using High Order Zernike Moments

Mircea Nicolescu, George Bebis, Gholamreza Amayeh, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

An Active Robotic Vision System with a Pair of Moving and Stationary Cameras

Monica N. Nicolescu, Mircea Nicolescu, David Feil-Seifer, 2019, ISVC.

Multi-robot teams for environmental monitoring

Daniele Nardi, Mircea Nicolescu, Paolo Remagnino, 2011 .

A Review on Vision-Based Full DOF Hand Motion Estimation

Mircea Nicolescu, George Bebis, Ali Erol, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds

Mircea Nicolescu, George Bebis, Leandro A. Loss, 2009, Comput. Vis. Image Underst..

4-D voting for matching, densification and segmentation into motion layers

Gérard G. Medioni, Mircea Nicolescu, 2002, Object recognition supported by user interaction for service robots.

A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds

Mircea Nicolescu, Alireza Tavakkoli, George Bebis, 2006, ISVC.

A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data

Mircea Nicolescu, Alireza Tavakkoli, Sushil J. Louis, 2007, ISVC.

Improving hand-based verification through online finger template update based on fused confidences

Mircea Nicolescu, George Bebis, Gholamreza Amayeh, 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.

Intent Recognition for Human–Robot Interaction

Mircea Nicolescu, Amol Ambardekar, Alireza Tavakkoli, 2014 .

A Visual Tracking Framework for Intent Recognition in Videos

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2008, ISVC.

Improving target detection by coupling it with tracking

Monica N. Nicolescu, Mircea Nicolescu, George Bebis, 2009, Machine Vision and Applications.

Intent Recognition in a Simulated Maritime Multi-agent Domain

Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis, 2015, MOD.

Face recognition in unconstrained environments

Mircea Nicolescu, Sushil J. Louis, Banafsheh Rekabdar, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Human Body Parts Tracking Using Torso Tracking: Applications to Activity Recognition

Mircea Nicolescu, Aras Dargazany, M. Nicolescu, 2012, 2012 Ninth International Conference on Information Technology - New Generations.

Accurate and Efficient Computation of High Order Zernike Moments

Mircea Nicolescu, George Bebis, Gholamreza Amayeh, 2005, ISVC.

A Developmental Framework for Visual Learning in Robotics

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2010, IPCV.

Active Object Detection Through Dynamic Incorporation of Dempster-Shafer Fusion for Robotic Applications

Monica N. Nicolescu, Mircea Nicolescu, A. S.PouryaHoseini, 2018, ICVISP.

Integrating Context into Intent Recognition Systems

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2010, ICINCO.

Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos

Mircea Nicolescu, Alireza Tavakkoli, George Bebis, 2010, ISVC.

Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance

Mircea Nicolescu, Alireza Tavakkoli, George Bebis, 2005, ISVC.

Commentary Paper on "Dynamic Models for People Detection and Tracking"

Mircea Nicolescu, 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D

Gérard G. Medioni, Mircea Nicolescu, G. Medioni, 2002, ECCV.

A Vision-Based Architecture for Intent Recognition

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2007, ISVC.

Learning of Complex-Structured Tasks from Verbal Instruction

Mircea Nicolescu, David Feil-Seifer, Andrew Palmer, 2019, 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids).

A modified steady state genetic algorithm suitable for fast pipelined hardware

Mircea Nicolescu, Sushil J. Louis, Sajjad Moshfe, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Intent Understanding Using an Activation Spreading Architecture

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2015, Robotics.

Vehicle classification framework: a comparative

Mircea Nicolescu, Amol Ambardekar, George Bebis, 2014 .

Grammar-Based Robot Control (Extended Abstract)

Mircea Nicolescu, Richard Kelley, Monica Nicolescu, 2009 .

A compact task representation for hierarchical robot control

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Electronic pan-tilt-zoom: a solution for intelligent room systems

Gérard G. Medioni, Mircea Nicolescu, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

Evolutionary Learning of Feature Fusion Hierarchies

Mircea Nicolescu, Fabien Scalzo, George Bebis, 2008 .

Handling Ambiguous Object Recognition Situations in a Robotic Environment via Dynamic Information Fusion

Monica N. Nicolescu, Mircea Nicolescu, A. S.PouryaHoseini, 2018, 2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA).

Layered 4D Representation and Voting for Grouping from Motion

Gérard G. Medioni, Mircea Nicolescu, G. Medioni, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Efficient object detection and tracking using a novel mser-based approach

Mircea Nicolescu, Monica Nicolescu, Christopher King, 2013 .

Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms

Yao Wang, Mircea Nicolescu, Fabien Scalzo, 2016, ISVC.

Multi-Robot and Multi-Camera Patrolling

Daniele Nardi, Mircea Nicolescu, Dorothy Ndedi Monekosso, 2012, Handbook of Soft Computing for Video Surveillance.

Visual Hull Construction Using Adaptive Sampling

Mircea Nicolescu, George Bebis, Ali Erol, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks

Monica N. Nicolescu, Mircea Nicolescu, Banafsheh Rekabdar, 2015, Neural Processing Letters.

Evolving team tactics using potential fields

Mircea Nicolescu, Sushil J. Louis, M. Oberberger, 2013, 2013 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).

Improving Gender Classification Using an Extended Set of Local Binary Patterns

Monica N. Nicolescu, Mircea Nicolescu, Abbas Roayaei Ardakany, 2014, Int. J. Multim. Data Eng. Manag..

An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2008, Int. J. Humanoid Robotics.

Efficient background modeling through incremental Support Vector Data Description

Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, 2008, 2008 19th International Conference on Pattern Recognition.

A distributed control architecture for collaborative multi-robot task allocation

Monica N. Nicolescu, Mircea Nicolescu, David Feil-Seifer, 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids).

Investigating how and when perceptual organization cues improve boundary detection in natural images

Mircea Nicolescu, George Bebis, Leandro A. Loss, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

A flexible control architecture for extended autonomy of robotic assistants

Mircea Nicolescu, Christopher King, Xavier Palathingal, 2009 .

The Tensor Voting Framework

Mircea Nicolescu, Philippos Mordohai, Gerard Medioni, 2005 .

Early Classification of Intent for Maritime Domains Using Multinomial Hidden Markov Models

Monica N. Nicolescu, Mircea Nicolescu, Dalton Navalta, 2021, Frontiers in Artificial Intelligence.

A one-shot next best view system for active object recognition

Pourya Hoseini, Mircea Nicolescu, Monica Nicolescu, 2021, Applied Intelligence.

A Surface and Appearance-based Next Best View System for Active Object Recognition

Pourya Hoseini, Monica N. Nicolescu, Mircea Nicolescu, 2021, VISIGRAPP.

Point Clouds and Range Images for Intent Recognition and Human-Robot Interaction

Mircea Nicolescu, Amol Ambardekar, Richard Kelley, 2011 .

INCREMENTAL SVDD TRAINING : IMPROVING EFFICIENCY OF BACKGROUND MODELING IN VIDEOS

Mircea Nicolescu, Alireza Tavakkoli, George Bebis, 2008 .

Understanding Activities and Intentions for Human-Robot Interaction

Mircea Nicolescu, Alireza Tavakkoli, Richard Kelley, 2010 .