Mircea Nicolescu

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 42

Top Topics

Biologically Inspired

Object Recognition

Temporal Patterns

Top Venues

Publications

Shuvo Kumar Paul, Ovi Paul, Monica N. Nicolescu, Mircea Nicolescu
ROS-Pose: Simplified object detection and planar pose estimation for rapid robotics application development. Softw. Impacts 19 (2024)
Ayesh Meepaganithage, Suman Rath, Mircea Nicolescu, Monica N. Nicolescu, Shamik Sengupta
Image Forgery Detection Using Convolutional Neural Networks. ISDFS (2024)
Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis
Supervised Pectoral Muscle Removal in Mammography Images. AIME (2) (2024)
Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis
Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size. J. Imaging 10 (1) (2024)
Ayesh Meepaganithage, Mircea Nicolescu, Monica N. Nicolescu
Hostile Vessel Behavior Prediction using LSTMs. ICMVA (2024)
Ayesh Meepaganithage, Suman Rath, Mircea Nicolescu, Monica N. Nicolescu, Shamik Sengupta
Feature Selection Using the Advanced Shapley Value. CCWC (2024)
Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu
Next Best View Planning in a Single Glance: An Approach to Improve Object Recognition. SN Comput. Sci. 4 (1) (2023)
Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu
Integrating User Gaze with Verbal Instruction to Reliably Estimate Robotic Task Parameters in a Human-Robot Collaborative Environment. ICMVA (2023)
Mayamin Hamid Raha, Md. Abu Sayed, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis
Maritime Dynamic Resource Allocation and Risk Minimization Using Visual Analytics and Elitist Multi-Objective Optimization. ICINCO (1) (2023)
Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis
Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images. ISVC (1) (2023)
Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu
Enhancing Human-Robot Collaboration through a Multi-Module Interaction Framework with Sensor Fusion: Object Recognition, Verbal Communication, User of Interest Detection, Gesture and Gaze Recognition. Sensors 23 (13) (2023)
Yan Yang Aaren, George Bebis, Mircea Nicolescu
Two-step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real. IMPROVE (2022)
Shuvo Kumar Paul, Pourya Hoseini, Arjun Vettath Gopinath, Mircea Nicolescu, Monica N. Nicolescu
Simultaneous Integration of Multimodal Interfaces for Generating Structured and Reliable Robotic Task Configurations. ICMVA (2022)
Akshay Krishna, Patrick Smith, Mircea Nicolescu, Steven C. Hayes
Vision-based Assessment of Instructional Content on Golf Performance. IPMV (2022)
Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu
A one-shot next best view system for active object recognition. Appl. Intell. 52 (5) (2022)
Logan Carlson, Dalton Navalta, Monica N. Nicolescu, Mircea Nicolescu, Gail Woodward
Early Classification of Intent for Maritime Domains Using Multinomial Hidden Markov Models. Frontiers Artif. Intell. 4 (2021)
Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu
A Surface and Appearance-based Next Best View System for Active Object Recognition. VISIGRAPP (5: VISAPP) (2021)
Shuvo Kumar Paul, Muhammed Tawfiq Chowdhury, Mircea Nicolescu, Monica N. Nicolescu
Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping. CoRR (2021)
Shuvo Kumar Paul, Pourya Hoseini, Mircea Nicolescu, Monica N. Nicolescu
Performance Analysis of Keypoint Detectors and Binary Descriptors Under Varying Degrees of Photometric and Geometric Transformations. CoRR (2020)
Logan Carlson, Dalton Navalta, Monica N. Nicolescu, Mircea Nicolescu, Gail Woodward
Multinomial HMMs for Intent Recognition in Maritime Domains. AAMAS (2019)
Pourya Hoseini, Janelle Blankenburg, Mircea Nicolescu, Monica N. Nicolescu, David Feil-Seifer
Active Eye-in-Hand Data Management to Improve the Robotic Object Detection Performance. Comput. 8 (4) (2019)
Bashira Akter Anima, Janelle Blankenburg, Mariya Zagainova, S. Pourya Hoseini A., Muhammed Tawfiq Chowdhury, David Feil-Seifer, Monica N. Nicolescu, Mircea Nicolescu
Collaborative Human-Robot Hierarchical Task Execution with an Activation Spreading Architecture. ICSR (2019)
Seyed Pourya Hoseini Alinodehi, Janelle Blankenburg, Mircea Nicolescu, Monica N. Nicolescu, David Feil-Seifer
An Active Robotic Vision System with a Pair of Moving and Stationary Cameras. ISVC (2) (2019)
Monica N. Nicolescu, Natalie Arnold, Janelle Blankenburg, David Feil-Seifer, Santosh Balajee Banisetty, Mircea Nicolescu, Andrew H. Palmer, Thor Monteverde
Learning of Complex-Structured Tasks from Verbal Instruction. Humanoids (2019)
S. Pourya Hoseini A., Mircea Nicolescu, Monica N. Nicolescu
Active Object Detection Through Dynamic Incorporation of Dempster-Shafer Fusion for Robotic Applications. ICVISP (2018)
S. Pourya Hoseini A., Mircea Nicolescu, Monica N. Nicolescu
Handling Ambiguous Object Recognition Situations in a Robotic Environment via Dynamic Information Fusion. CogSIMA (2018)
Banafsheh Rekabdar, Luke Fraser, Monica N. Nicolescu, Mircea Nicolescu
A real-time spike-timing classifier of spatio-temporal patterns. Neurocomputing 311 (2018)
Mohaddeseh Koosha, Seyed Pourya Hoseini Alinodehi, Mircea Nicolescu, Zahra Safaei Naraghi
Automatic evaluation of skin histopathological images for melanocytic features. Medical Imaging: Digital Pathology (2017)
Janelle Blankenburg, Santosh Balajee Banisetty, Seyed Pourya Hoseini Alinodehi, Luke Fraser, David Feil-Seifer, Monica N. Nicolescu, Mircea Nicolescu
A distributed control architecture for collaborative multi-robot task allocation. Humanoids (2017)
Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis
Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns. Neural Comput. Appl. 28 (5) (2017)
Seyed Pourya Hoseini Alinodehi, Sushil J. Louis, Sajjad Moshfe, Mircea Nicolescu
A modified steady state genetic algorithm suitable for fast pipelined hardware. CEC (2017)
Luke Fraser, Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, David Feil-Seifer, George Bebis
A compact task representation for hierarchical robot control. Humanoids (2016)
Yu Ding, Mircea Nicolescu, Dan Farmer, Yao Wang, George Bebis, Fabien Scalzo
Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms. ISVC (1) (2016)
Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Mohammad Taghi Saffar, Richard Kelley
A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks. Neural Process. Lett. 43 (2) (2016)
Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Banafsheh Rekabdar
Intent Understanding Using an Activation Spreading Architecture. Robotics 4 (3) (2015)
Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu
An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks. J. Intell. Robotic Syst. 80 (Supplement-1) (2015)
Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu
An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network. HRI (Extended Abstracts) (2015)
Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Daniel Bigelow, Christopher A. Ballinger, Sushil J. Louis
Intent Recognition in a Simulated Maritime Multi-agent Domain. MOD (2015)
Mohammad Taghi Saffar, Banafsheh Rekabdar, Sushil J. Louis, Mircea Nicolescu
Face recognition in unconstrained environments. IJCNN (2015)
Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Banafsheh Rekabdar
Context-based intent understanding using an Activation Spreading architecture. IROS (2015)
Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley
Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks. IJCNN (2015)
Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley
A biologically inspired approach to learning spatio-temporal patterns. ICDL-EPIROB (2015)
Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu
Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity. AGI (2014)
Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica N. Nicolescu
Vehicle classification framework: a comparative study. EURASIP J. Image Video Process. 2014 (2014)
Abbas Roayaei Ardakany, Mircea Nicolescu, Monica N. Nicolescu
Improving Gender Classification Using an Extended Set of Local Binary Patterns. Int. J. Multim. Data Eng. Manag. 5 (3) (2014)
Liesl Wigand, Monica N. Nicolescu, Mircea Nicolescu
A Developmental Approach to Concept Learning. ICINCO (2) (2013)
Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica N. Nicolescu
Visual traffic surveillance framework: classification to event detection. J. Electronic Imaging 22 (4) (2013)
Abbas Roayaei Ardakany, Mircea Nicolescu, Monica N. Nicolescu
An Extended Local Binary Pattern for Gender Classification. ISM (2013)
M. Oberberger, Sushil J. Louis, Mircea Nicolescu
Evolving team tactics using potential fields. CISDA (2013)
Richard Kelley, Liesl Wigand, Brian Hamilton, Katie Browne, Monica N. Nicolescu, Mircea Nicolescu
Deep networks for predicting human intent with respect to objects. HRI (2012)
Aras Dargazany, Mircea Nicolescu
Human Body Parts Tracking Using Torso Tracking: Applications to Activity Recognition. ITNG (2012)
Richard Kelley, Alireza Tavakkoli, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu
Context-Based Bayesian Intent Recognition. IEEE Trans. Auton. Ment. Dev. 4 (3) (2012)
Luca Iocchi, Ndedi D. Monekosso, Daniele Nardi, Mircea Nicolescu, Paolo Remagnino, Maria Valera
Smart Monitoring of Complex Public Scenes. AAAI Fall Symposium: Robot-Human Teamwork in Dynamic Adverse Environment (2011)
Richard Kelley, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli
Integrating Context into Intent Recognition Systems. ICINCO (2) (2010)
Alireza Tavakkoli, Mircea Nicolescu, George Bebis
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos. ISVC (3) (2010)
Amol Ambardekar, Alireza Tavakkoli, Mircea Nicolescu, Monica N. Nicolescu
A Developmental Framework for Visual Learning in Robotics. IPCV (2010)
Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei N. Skurikhin
An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds. Comput. Vis. Image Underst. 113 (1) (2009)
Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu
Non-parametric statistical background modeling for efficient foreground region detection. Mach. Vis. Appl. 20 (6) (2009)
Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu
Hand-based verification and identification using palm-finger segmentation and fusion. Comput. Vis. Image Underst. 113 (4) (2009)
Amol Ambardekar, Mircea Nicolescu, Sergiu Dascalu
Ground Truth Verification Tool (GTVT) for Video Surveillance Systems. ACHI (2009)
Richard Kelley, Monica N. Nicolescu, Mircea Nicolescu
Grammar-based robot control. AAMAS (2) (2009)
Junxian Wang, George Bebis, Mircea Nicolescu, Monica N. Nicolescu, Ronald Miller
Improving target detection by coupling it with tracking. Mach. Vis. Appl. 20 (4) (2009)
Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu
Efficient background modeling through incremental Support Vector Data Description. ICPR (2008)
Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu
A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds. Int. J. Artif. Intell. Tools 17 (4) (2008)
Mircea Nicolescu
Commentary Paper on "Dynamic Models for People Detection and Tracking". AVSS (2008)
Richard Kelley, Christopher King, Alireza Tavakkoli, Mircea Nicolescu, Monica N. Nicolescu, George Bebis
An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation. Int. J. Humanoid Robotics 5 (2) (2008)
Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei N. Skurikhin
Investigating how and when perceptual organization cues improve boundary detection in natural images. CVPR Workshops (2008)
Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica N. Nicolescu, George Bebis
A Visual Tracking Framework for Intent Recognition in Videos. ISVC (1) (2008)
Richard Kelley, Alireza Tavakkoli, Christopher King, Monica N. Nicolescu, Mircea Nicolescu, George Bebis
Understanding human intentions via hidden markov models in autonomous mobile robots. HRI (2008)
Mircea Nicolescu
Commentary Paper 2 on "Automatic Detection of Adverse Weather Conditions in Traffic Scenes". AVSS (2008)
Mircea Nicolescu
Commentary Paper 1 on "Action Signature: A Novel Holistic Representation for Action Recognition". AVSS (2008)
Fabien Scalzo, George Bebis, Mircea Nicolescu, Leandro A. Loss, Alireza Tavakkoli
Feature Fusion Hierarchies for gender classification. ICPR (2008)
Mircea Nicolescu
Commentary Paper 1 on "A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling". AVSS (2008)
Gholamreza Amayeh, George Bebis, Mircea Nicolescu
Gender classification from hand shape. CVPR Workshops (2008)
Christopher King, Xavier Palathingal, Monica N. Nicolescu, Mircea Nicolescu
A Control Architecture for Long-Term Autonomy of Robotic Assistants. ISVC (1) (2007)
Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica N. Nicolescu, George Bebis
A Vision-Based Architecture for Intent Recognition. ISVC (2) (2007)
Ali Erol, George Bebis, Mircea Nicolescu, Richard D. Boyle, Xander Twombly
Vision-based hand pose estimation: A review. Comput. Vis. Image Underst. 108 (1-2) (2007)
Jorge Usabiaga, George Bebis, Ali Erol, Mircea Nicolescu, Monica N. Nicolescu
Recognizing Simple Human Actions Using 3D Head Movement. Comput. Intell. 23 (4) (2007)
Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei N. Skurikhin
An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds. BMVC (2007)
Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil J. Louis
A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data. ISVC (2) (2007)
Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu
A Component-Based Approach to Hand Verification. CVPR (2007)
Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu
Peg-Free Hand Shape Verification Using High Order Zernike Moments. CVPR Workshops (2006)
Alireza Tavakkoli, Mircea Nicolescu, George Bebis
Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds. ICPR (1) (2006)
Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei N. Skourikhine
Perceptual Grouping Based on Iterative Multi-scale Tensor Voting. ISVC (2) (2006)
Alireza Tavakkoli, Mircea Nicolescu, George Bebis
A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds. ISVC (1) (2006)
Gholamreza Amayeh, Ali Erol, George Bebis, Mircea Nicolescu
Accurate and Efficient Computation of High Order Zernike Moments. ISVC (2005)
Ali Erol, George Bebis, Mircea Nicolescu, Richard D. Boyle, Xander Twombly
A Review on Vision-Based Full DOF Hand Motion Estimation. CVPR Workshops (2005)
Mircea Nicolescu, Gérard G. Medioni
A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation. IEEE Trans. Pattern Anal. Mach. Intell. 27 (5) (2005)
Alireza Tavakkoli, Mircea Nicolescu, George Bebis
Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance. ISVC (2005)
Ali Erol, George Bebis, Richard D. Boyle, Mircea Nicolescu
Visual Hull Construction Using Adaptive Sampling. WACV/MOTION (2005)
Mircea Nicolescu, Changki Min, Gérard G. Medioni
Analysis and Interpretation of Multiple Motions Through Surface Saliency. SCVMA (2004)
Mircea Nicolescu, Gérard G. Medioni
Layered 4D Representation and Voting for Grouping from Motion. IEEE Trans. Pattern Anal. Mach. Intell. 25 (4) (2003)
Mircea Nicolescu, Gérard G. Medioni
Motion Segmentation with Accurate Boundaries - A Tensor Voting Approach. CVPR (1) (2003)
Mircea Nicolescu, Gérard G. Medioni
4-D Voting for Matching, Densification and Segmentation into Motion Layers. ICPR (3) (2002)
Mircea Nicolescu, Gérard G. Medioni
Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D. ECCV (3) (2002)
Mircea Nicolescu, Gérard G. Medioni
GlobeAll: Panoramic Video for an Intelligent Room. ICPR (2000)
Mircea Nicolescu, Gérard G. Medioni
Electronic Pan-Tilt-Zoom: A Solution for Intelligent Room Systems. IEEE International Conference on Multimedia and Expo (III) (2000)