PUBLICATIONS


Book chapters

  • Alireza Tavakkoli, Mircea Nicolescu, Junxian Wang, George Bebis, "Background Learning with Support Vectors: Efficient Foreground Detection and Tracking for Automated Visual Surveillance", Background Modeling and Foreground Detection for Video Surveillance, Thierry Bouwmans, Fatih Porikli, Benjamin Horferlin, Antoine Vacavant (editors), CRC Press, Taylor and Francis, pages 11.1-11.23, June 2014.

  • Richard Kelley, Alireza Tavakkoli, Christopher King, Amol Ambardekar, Liesl Wigand, Monica Nicolescu, Mircea Nicolescu, "Intent Recognition for Human-Robot Interaction", Plan, Activity, and Intent Recognition, Gita Sukthankar, Robert Goldman, Christopher Geib, David Pynadath, Hung Hai Bui (editors), Morgan Kaufmann, pages 343-365, March 2014.

  • Christopher King, Maria Valera, Raphael Grech, Robert Mullen, Paolo Remagnino, Luca Iocchi, Luca Marchetti, Daniele Nardi, Dorothy Monekosso, Mircea Nicolescu, "Multi-Robot and Multi-Camera Patrolling", Handbook on Soft Computing for Video Surveillance, Sankar Pal, Alfredo Petrosino, Lucia Maddalena (editors), Taylor & Francis, pages 255 286, January 2012.

  • Maria Valera Espina, Raphael Grech, Deon De Jager, Paolo Remagnino, Luca Iocchi, Luca Marchetti, Daniele Nardi, Dorothy Monekosso, Mircea Nicolescu, Christopher King, "Multi-Robot Teams for Environmental Monitoring", Innovations in Defence Support Systems Intelligent Paradigms in Security, Springer-Verlag, pages 183-209, March 2011.

  • Richard Kelley, Alireza Tavakkoli, Christopher King, Monica Nicolescu, Mircea Nicolescu, "Understanding Activities and Intentions for Human-Robot Interaction", Human-Robot Interaction, Daisuke Chugo (editor), In-Tech, pages 1-18, February 2010.

  • Gerard Medioni, Philippos Mordohai, Mircea Nicolescu, "The Tensor Voting Framework", Handbook of Geometric Computing: Applications in Pattern Recognition, Computer Vision, Neural Computing, and Robotics, Eduardo Bayro-Corrochano (editor), Springer-Verlag, pages 535-568, August 2005.

Journal articles

  • Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Towards Robust Supervised Pectoral Muscle Segmentation in Mammography Images", to appear in Journal of Imaging, 2025.

  • Mayamin Hamid Raha, Md. Abu Sayed, Monica Nicolescu, Mircea Nicolescu, Sushil Louis, "RAM: Resource Allocation for Multi-agent Maritime Environment", to appear in Springer Lecture Notes in Electrical Engineering, 2025.

  • Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "Integrating Speech and Gesture for Generating Reliable Robotic Task Configuration", Advances in Science, Technology and Engineering Systems Journal - Special Issue on Computing, Engineering & Multidisciplinary Sciences, vol. 9, nr. 4, pages 51-59, July 2024.

  • Shuvo Kumar Paul, Ovi Paul, Monica Nicolescu, Mircea Nicolescu, "ROS-Pose: Simplified Object Detection and Planar Pose Estimation for Rapid Robotics Application Development", Software Impacts, Elsevier, vol. 19, February 2024.

  • Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size", Journal of Imaging, vol. 10, nr. 1, pages 1-20, January 2024.

  • Shuvo Kumar Paul, Mircea Nicolescu, Monica 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 - Special Issue on Visual Sensing and Sensor Fusion for Machine Intelligence, vol. 23, nr. 13, pages 1-43, June 2023.

  • Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "Next Best View Planning in a Single Glance: An Approach to Improve Object Recognition", Springer Nature Computer Science - Special Issue on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 4, nr. 51, pages 1-20, January 2023.

  • Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "A One-Shot Next Best View System for Active Object Recognition", Applied Intelligence, vol. 52, pages 1-20, Springer, March 2022.

  • Shuvo Kumar Paul, Pourya Hoseini, Arjun Vettath Gopinath, Mircea Nicolescu, Monica Nicolescu, "Integration of Multimodal Inputs and Interaction Interfaces for Generating Reliable Human-Robot Collaborative Task Configurations", International Journal of Computers and Their Applications, vol. 29, nr. 2, pages 97-110, June 2022.

  • Logan Carlson, Dalton Navalta, Monica Nicolescu, Mircea Nicolescu, Gail Woodward, "Early Classification of Intent for Maritime Domains using Multinomial Hidden Markov Models", Frontiers in Artificial Intelligence - Special Issue on Advances in Goal, Plan and Activity Recognition, vol. 4, pages 1-11, October 2021.

  • Shuvo Kumar Paul, Pourya Hoseini, Mircea Nicolescu, Monica Nicolescu, "Performance Analysis of Keypoint Detectors and Binary Descriptors under Varying Degrees of Photometric and Geometric Transformations", Journal of Image and Graphics, vol. 9, no. 1, pages 1-8, March 2021.

  • Pourya Hoseini, Janelle Blankenburg, Mircea Nicolescu, Monica Nicolescu, David Feil-Seifer, "Active Eye-in-Hand Data Management to Improve the Robotic Object Detection Performance", Computers - Special Issue on Vision, Image and Signal Processing, vol.8, no. 4, pages 1-17, September 2019.

  • Banafsheh Rekabdar, Luke Fraser, Monica Nicolescu, Mircea Nicolescu, "A Real-Time Spike-Timing Classifier of Spatio-Temporal Patterns", Neurocomputing, vol. 311, pages 183-196, October 2018.

  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, Sushil Louis, "Using Patterns of Firing Neurons in Spiking Neural Networks for Learning and Early Recognition of Spatio-Temporal Patterns", Neural Computing and Applications - Special Issue on Computational Intelligence for Vision and Robotics, vol. 28, nr. 5, pages 881-897, May 2017.

  • Banafsheh Rekabdar, Monica 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 Processing Letters, vol. 43, no. 2, pages 327-343, April 2016.

  • Mohammad Saffar, Mircea Nicolescu, Monica Nicolescu, Banafsheh Rekabdar, "Intent Understanding Using an Activation Spreading Architecture", Robotics - Special Issue on Representations and Reasoning for Robotics, vol. 4, no. 3, pages 284-315, July 2015.

  • Banafsheh Rekabdar, Monica Nicolescu, Richard Kelley, Mircea Nicolescu, "An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks", Journal of Intelligent and Robotic Systems, pages 1-15, January 2015.

  • Abbas Roayaei Ardakany, Mircea Nicolescu, Monica Nicolescu, "Improving Gender Classification Using an Extended Set of Local Binary Patterns", International Journal of Multimedia Data Engineering and Management, vol. 5, no. 3, pages 47-66, July-September 2014.

  • Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica Nicolescu, "Vehicle Classification Framework: A Comparative Study", Journal on Image and Video Processing, 2014:29, pages 1-13, Springer, June 2014.

  • Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica Nicolescu, "Visual Traffic Surveillance Framework: Classification to Event Detection", Journal of Electronic Imaging - Special Issue on Video Surveillance and Transportation Imaging Applications, vol. 22, no. 4, pages 1-17, October-December 2013.

  • Richard Kelley, Alireza Tavakkoli, Christopher King, Amol Ambardekar, Monica Nicolescu, Mircea Nicolescu, "Context-Based Bayesian Intent Recognition", IEEE Transactions on Autonomous Mental Development - Special Issue on Biologically-Inspired Human-Robot Interactions, vol. 4, no. 3, pages 215-225, September 2012.

  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica Nicolescu, "Non-Parametric Statistical Background Modeling for Efficient Foreground Region Detection", Machine Vision and Applications, Springer-Verlag, vol. 20, no. 6, pages 395-409, October 2009.

  • Christopher King, Xavier Palathingal, Monica Nicolescu, Mircea Nicolescu, "A Flexible Control Architecture for Extended Autonomy of Robotic Assistants", Journal of Physical Agents, vol. 3, no. 2, pages 59-69, May 2009.

  • Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu, "Hand-Based Verification and Identification Using Palm-Finger Segmentation and Fusion", Computer Vision and Image Understanding, Elsevier, vol. 113, no. 4, pages 477-501, April 2009.

  • Junxian Wang, George Bebis, Mircea Nicolescu, Monica Nicolescu, Ronald Miller, "Improving Target Detection by Coupling It with Tracking", Machine Vision and Applications, Springer-Verlag, vol. 20, no. 4, pages 205-223, April 2009.

  • Leandro Loss, George Bebis, Mircea Nicolescu, Alexei Skurikhin, "An Iterative Multi-Scale Tensor Voting Scheme for Perceptual Grouping of Natural Shapes in Cluttered Backgrounds", Computer Vision and Image Understanding, Elsevier, vol. 113, no. 1, pages 126-149, January 2009.

  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica Nicolescu, "A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds", International Journal on Artificial Intelligence Tools, vol. 17, no. 4, pages 635-658, August 2008.

  • Richard Kelley, Christopher King, Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, George Bebis, "An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation", International Journal of Humanoid Robotics - Special Issue on Cognitive Humanoid Robots, vol. 5, no. 2, pages 203-224, June 2008.

  • Jorge Usabiaga, George Bebis, Ali Erol, Mircea Nicolescu, Monica Nicolescu, "Recognizing Simple Human Actions Using 3D Head Movement", Computational Intelligence - Special Issue on Artificial Intelligence Methods for Ambient Intelligence, vol. 23, no. 4, pages 484-496, November 2007.

  • Ali Erol, George Bebis, Mircea Nicolescu, Richard Boyle, Xander Twombly, "Vision-Based Hand Pose Estimation: A Review", Computer Vision and Image Understanding - Special Issue on Vision for Human-Computer Interaction, Elsevier, vol. 108, no. 1-2, pages 52-73, October/November 2007.

  • Mircea Nicolescu, Gerard Medioni, "A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 5, pages 739-752, May 2005.

  • Mircea Nicolescu, Gerard Medioni, "Layered 4D Representation and Voting for Grouping from Motion", IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Perceptual Organization in Computer Vision, vol. 25, no. 4, pages 492-501, April 2003.

Conference articles

  • Rojin Manouchehri, Ayesh Meepaganithage, Sergiu Dascalu, Mircea Nicolescu, Monica Nicolescu, Lei Yang, "Cryptocurrency Price Forecasting: Insights from Deep Learning and Volatility Analysis", to appear in the Proceedings of the International Conference on Information Technology: New Generations, Las Vegas, NV, April 2025.

  • Ayesh Meepaganithage, Mircea Nicolescu, Monica Nicolescu, "Enhanced Maritime Safety through Deep Learning and Feature Selection", Proceedings of the International Symposium on Visual Computing, pages 1-12, Lake Tahoe, NV, October 2024.

  • Ayesh Meepaganithage, Rojin Manouchehri, Yi-Hsuan Chuang, Mircea Nicolescu, Monica Nicolescu, Sergiu Dascalu, Emily Hand, "Airfare Forecasting: A Deep Learning Approach to Flight Price Prediction", Proceedings of the International Conference on Digital Data Processing, pages 1-6, New York, NY, September-October 2024.

  • Md. Abu Sayed, Mayamin Hamid Raha, Parvaneh Aliniya, Monica Nicolescu, Mircea Nicolescu, "Threatmap: A Framework for Enhancing Security Awareness and Decision-Making for Naval Agents", Proceedings of the International Conference on Harbor, Maritime and Multimodal Logistic Modelling and Simulation, pages 1-10, Tenerife, Spain, September 2024.

  • Md. Abu Sayed, Korben DiArchangel, Mayamin Hamid Raha, Parvaneh Aliniya, Monica Nicolescu, Mircea Nicolescu, Sushil Louis, "NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains", Proceedings of the IEEE Conference on Games, pages 1-8, Milan, Italy, August 2024.

  • Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Supervised Pectoral Muscle Removal in Mammography Images", Proceedings of the International Conference of Artificial Intelligence in Medicine, pages 126-130, Salt Lake City, Utah, July 2024.

  • Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "Enhancing Robotic Task Parameter Estimation through Unified User Interaction: Gestures and Verbal Instructions in Collaboration", Proceedings of the International Conference on Robotics and Automation Sciences, pages 66-71, Tokyo, Japan, June 2024.

  • Ayesh Meepaganithage, Suman Rath, Mircea Nicolescu, Monica Nicolescu, Shamik Sengupta, "Image Forgery Detection Using Convolutional Neural Networks", Proceedings of the International Symposium on Digital Forensics and Security, pages 1-6, San Antonio, Texas, April 2024.

  • Mayamin Hamid Raha, Md. Abu Sayed, Sergiu Dascalu, Monica Nicolescu, Mircea Nicolescu, "Keep Sailing: An Investigation of Effective Navigation Controls and Subconscious Learning in Simulated Maritime Environment", Proceedings of the International Conference on Information Technology - New Generations, pages 313-322, Las Vegas, Nevada, April 2024.

  • Ayesh Meepaganithage, Mircea Nicolescu, Monica Nicolescu, "Hostile Vessel Behavior Prediction using LSTMs", Proceedings of the International Conference on Machine Vision and Applications, pages 48-53, Singapore, March 2024.

  • Ayesh Meepaganithage, Suman Rath, Mircea Nicolescu, Monica Nicolescu, Shamik Sengupta, "Feature Selection Using the Advanced Shapley Value", Proceedings of the IEEE Computing and Communication Workshop and Conference, pages 207-213, Las Vegas, Nevada, January 2024.

  • Mayamin Hamid Raha, Md. Abu Sayed, Monica Nicolescu, Mircea Nicolescu, Sushil Louis, "Maritime Dynamic Resource Allocation and Risk Minimization using Visual Analytics and Elitist Multi-Objective Optimization", Proceedings of the International Conference on Informatics in Control, Automation and Robotics, pages 54-63, Rome, Italy, November 2023.

  • Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images", Proceedings of the International Symposium on Visual Computing, pages 3-17, Lake Tahoe, Nevada, October 2023.

  • Parvaneh Aliniya, Mircea Nicolescu, Monica Nicolescu, George Bebis, "ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images", Proceedings of the International Conference on Artificial Neural Networks, pages 102-114, Heraklion, Greece, September 2023.

  • Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "Integrating User Gaze with Verbal Instruction to Reliably Estimate Robotic Task Parameters in a Human-Robot Collaborating Environment", Proceedings of the International Conference on Machine Vision and Applications, pages 51-58, Singapore, March 2023.

  • Shuvo Kumar Paul, Pourya Hoseini, Mircea Nicolescu, Monica Nicolescu, "Resolving User(s) of Interest in the Context of a Multi-Party Collaborative HRI Setting Using Active Speaker and Facing State Estimation", Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition, pages 1-8, Las Vegas, Nevada, July 2022.

  • Yan Yang, George Bebis, Mircea Nicolescu, "Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real", Proceedings of the International Conference on Image Processing and Vision Engineering, pages 126-134, April 2022.

  • Akshay Krishna, Patrick Smith, Mircea Nicolescu, Steven Hayes, "Vision-based Assessment of Instructional Content on Golf Performance", Proceedings of the International Conference on Image Processing and Machine Vision, pages 78-83, Hong Kong, March 2022.

  • Shuvo Kumar Paul, Pourya Hoseini, Arjun Vettath Gopinath, Mircea Nicolescu, Monica Nicolescu, "Simultaneous Integration of Multimodal Interfaces for Generating Structured and Reliable Robotic Task Configurations", Proceedings of the International Conference on Machine Vision and Applications, pages 61-66, Singapore, February 2022.

  • Pourya Hoseini, Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "A Surface and Appearance-Based Next Best View System for Active Object Recognition", Proceedings of the International Conference on Computer Vision Theory and Applications, vol. 5, pages 841-851, February 2021. (Best Paper Award Finalist)

  • Shuvo Kumar Paul, Mircea Nicolescu, Monica Nicolescu, "A Comparative Evaluation of Keypoint Detectors and Binary Descriptors", Proceedings of the International Conference on Robotics and Machine Vision, pages 1-10, Seoul, Korea, February 2021.

  • Muhammed Tawfiq Chowdhury, Shuvo Kumar Paul, Monica Nicolescu, Mircea Nicolescu, David Feil-Seifer, Sergiu Dascalu, "Computation of Suitable Grasp Pose for Usage of Objects Based on Predefined Training and Real Time Pose Estimation", Proceedings of the International Conference on Autonomic and Autonomous Systems Special Track on Vision and Learning for Robotic Applications, pages 91-96, Lisbon, Portugal, September-October 2020.

  • Shuvo Kumar Paul, Muhammed Tawfiq Chowdhury, Mircea Nicolescu, Monica Nicolescu, David Feil-Seifer, "Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping", Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition, pages 1-10, Las Vegas, Nevada, July 2020.

  • Bashira Akter Anima, Mariya Zagainova, S. Pourya Hoseini Alinodehi, Muhammed Tawfiq Chowdhury, Janelle Blankenburg, Monica Nicolescu, David Feil-Seifer, Mircea Nicolescu, "Collaborative Human-Robot Hierarchical Task Execution with an Activation Spreading Architecture", Proceedings of the International Conference on Social Robotics, pages 301-310, Madrid, Spain, November 2019.

  • Seyed Pourya Hoseini Alinodehi, Janelle Blankenburg, Mircea Nicolescu, Monica Nicolescu, David Feil-Seifer, "An Active Robotic Vision System with a Pair of Moving and Stationary Cameras", Proceedings of the International Symposium on Visual Computing, pages 184-195, Lake Tahoe, Nevada, October 2019.

  • Monica Nicolescu, Natalie Arnold, Janelle Blankenburg, David Feil-Seifer, Santosh Banisetty, Mircea Nicolescu, Andrew Palmer, Thor Monteverde, "Learning of Complex-Structured Tasks from Verbal Instruction", Proceedings of the IEEE-RAS International Conference on Humanoid Robots, pages 1-8, Toronto, Canada, October 2019.

  • Logan Carlson, Dalton Navalta, Monica Nicolescu, Gail Woodward, Mircea Nicolescu, "Multinomial HMMs for Intent Recognition in Maritime Domains", Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, Montreal, Canada, May 2019.

  • Logan Carlson, Dalton Navalta, Monica Nicolescu, Mircea Nicolescu, Gail Woodward, "Intent Classification in Maritime Domains with Multinomial HMMs", Proceedings of the International Workshop on EXplainable TRansparent Autonomous Agents and Multi-Agent Systems, pages 1-15, Montreal, Canada, May 2019.

  • Seyed Pourya Hoseini Alinodehi, Mircea Nicolescu, Monica Nicolescu, "Active Object Detection Through Dynamic Incorporation of Dempster-Shafer Fusion for Robotic Applications", Proceedings of the International Conference on Vision, Image and Signal Processing, pages 1-7, Las Vegas, Nevada, August 2018.

  • Seyed Pourya Hoseini Alinodehi, Mircea Nicolescu, Monica Nicolescu, "Handling Ambiguous Object Recognition Situations in a Robotic Environment via Dynamic Information Fusion", Proceedings of the IEEE International Conference on Cognitive and Computational Aspects of Situation Management, pages 56-62, Boston, Massachusetts, June 2018.

  • Janelle Blankenburg, Santosh Balajee Banisetty, Seyed Pourya Hoseini Alinodehi, Luke Fraser, David Feil-Seifer, Monica Nicolescu, Mircea Nicolescu, "A Distributed Control Architecture for Collaborative Multi-Robot Task Allocation", Proceedings of the IEEE-RAS International Conference on Humanoid Robots, pages 1-8, Birmingham, UK, November 2017.

  • Seyed Pourya Hoseini Alinodehi, Sushil Louis, Sajjad Moshfe, Mircea Nicolescu, "A Modified Steady State Genetic Algorithm Suitable for Fast Pipelined Hardware", Proceedings of the IEEE Congress on Evolutionary Computation, pages 2526-2533, San Sebastian, Spain, June 2017.

  • Mohaddeseh Koosha, Seyed Pourya Hoseini Alinodehi, Mircea Nicolescu, Zahra Safaei Naraghi, "Automatic Evaluation of Skin Histopathological Images for Melanocytic Features", Proceedings of SPIE Medical Imaging, pages 1-7, Orlando, Florida, February 2017.

  • Yu Ding, Mircea Nicolescu, Dan Farmer, Yao Wang, George Bebis, Fabien Scalzo, "Tensor Voting Extraction of Vessel Centerlines from Cerebral Angiograms", Proceedings of the International Symposium on Visual Computing, pages 35-44, Las Vegas, Nevada, December 2016.

  • Luke Fraser, Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, David Feil-Seifer, George Bebis, "A Compact Task Representation for Hierarchical Robot Control", Proceedings of the IEEE-RAS International Conference on Humanoid Robots, pages 1-8, Cancun, Mexico, November 2016.

  • David LeBlanc, Nicholas Lancaster, George Bebis, Mircea Nicolescu, "Automated Crest-Line Detection and Analysis of Sand Dune Patterns", Proceedings of the GSA (Geological Society of America) Annual Meeting, Denver, Colorado, September 2016.

  • Luke Fraser, Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, David Feil-Seifer, "A Hierarchical Control Architecture for Robust and Adaptive Collaborative Robot Task Execution", Proceedings of Planning for Human-Robot Interaction: Shared Autonomy and Collaborative Robotics RSS Workshop, pages 1-3, Ann Arbor, Michigan, June 2016.

  • Banafsheh Rekabdar, Luke Fraser, Monica Nicolescu, Mircea Nicolescu, Spiking Neural Network for Human Hand Gesture Recognition: A Real-Time Approach , Proceedings of Model Learning for Human-Robot Communication RSS Workshop, pages 1-3, Ann Arbor, Michigan, June 2016.

  • Andrew Olson, Dwight Egbert, Mircea Nicolescu, Harrison Stanton, Raul Rojas, Frederick Harris, "Smoke Detection Prescreening in Sequential Images", Proceedings of the International Conference on Computers and Their Applications, pages 347-352, Las Vegas, Nevada, April 2016.

  • David LeBlanc, Nicholas Lancaster, George Bebis, Mircea Nicolescu, "A Gradient-Based Approach for Automated Crest-Line Detection and Analysis of Sand Dune Patterns on Planetary Surfaces", Proceedings of AGU (American Geophysical Union) Fall Meeting, San Francisco, California, December 2015.

  • Mohammad Saffar, Mircea Nicolescu, Monica Nicolescu, Banafsheh Rekabdar, "Context-Based Intent Understanding Using an Activation Spreading Architecture", Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1-8, Hamburg, Germany, September 2015.

  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, Richard Kelley, "A Biologically Inspired Approach to Learning Spatio-Temporal Patterns", Proceedings of the International Conference on Development and Learning and on Epigenetic Robotics, pages 291-297, Providence, Rhode Island, August 2015.

  • Mohammad Saffar, Mircea Nicolescu, Monica Nicolescu, Daniel Bigelow, Christopher Ballinger, Sushil Louis, "Intent Recognition in a Simulated Maritime Multi-Agent Domain", Proceedings of the International Workshop on Machine Learning, Optimization and Big Data, pages 1-12, Taormina, Italy, July 2015.

  • Mohammad Taghi Saffar, Banafsheh Rekabdar, Sushil Louis, Mircea Nicolescu, "Face Recognition in Unconstrained Environments", Proceedings of the International Joint Conference on Neural Networks, pages 3705-3712, Killarney, Ireland, July 2015.

  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, Richard Kelley, "Scale and Translation Invariant Learning of Spatio-Temporal Patterns using Longest Common Subsequences and Spiking Neural Networks", Proceedings of the International Joint Conference on Neural Networks, pages 3659-3666, Killarney, Ireland, July 2015.

  • Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, "An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Networks", Proceedings of the HRI Pioneers Workshop (in conjunction with the ACM/IEEE International Conference on Human-Robot Interaction), pages 213-214, Portland, Oregon, March 2015.

  • Banafsheh Rekabdar, Monica Nicolescu, Richard Kelley, Mircea Nicolescu, "Unsupervised Learning of Spatio-Temporal Patterns Using Spike Timing Dependent Plasticity", Proceedings of the Seventh Annual Conference on Artificial General Intelligence, pages 254-257, Quebec City, Canada, August 2014.

  • Timothy Sweet, Mircea Nicolescu, "Active Surveillance in Public Environments", Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition, pages 1-7, Las Vegas, Nevada, July 2014.

  • Abbas Roayaei Ardakany, Mircea Nicolescu, Monica Nicolescu, "An Extended Local Binary Pattern for Gender Classification", Proceedings of the IEEE International Symposium on Multimedia, pages 315-320, Anaheim, California, December 2013.

  • Liesl Wigand, Monica Nicolescu, Mircea Nicolescu, "A Developmental Approach to Concept Learning", Proceedings of the International Conference on Informatics in Control, Automation and Robotics, pages 337-344, Reykjavik, Iceland, July 2013.

  • Aras Dargazany, Mircea Nicolescu, "Human Body Part Tracking Using Torso Tracking", Proceedings of the International Conference on Information Technology: New Generations, pages 646-651, Las Vegas, Nevada, April 2012.

  • Richard Kelley, Liesl Wigand, Brian Hamilton, Katie Browne, Monica Nicolescu, Mircea Nicolescu, "Deep Networks for Predicting Human Intent with Respect to Objects", Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 171-172, Boston, Massachusetts, March 2012.

  • Luca Iocchi, Dorothy Monekosso, Daniele Nardi, Mircea Nicolescu, Paolo Remagnino, Maria Valera Espina, "Smart Monitoring of Complex Public Scenes - collaboration between human guards, security network and robotic platforms", Proceedings of the AAAI Fall Symposium "Robot-Human Teamwork in Dynamic Adverse Environment", pages 14-19, Arlington, Virginia, November 2011.

  • Richard Kelley, Amol Ambardekar, Liesl Wigand, Monica Nicolescu, Mircea Nicolescu, "Point Clouds and Range Images for Intent Recognition and Human-Robot Interaction", Proceedings of the Advanced Reasoning with Depth Cameras Workshop (in conjunction with the Robotics: Science and Systems Conference), pages 1-2, Los Angeles, California, June 2011.

  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, "A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos", Proceedings of the International Symposium on Visual Computing, pages 161-170, Las Vegas, Nevada, November 2010.

  • Amol Ambardekar, Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, "A Developmental Framework for Visual Learning in Robotics", Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition, pages 382-387, Las Vegas, Nevada, July 2010.

  • Richard Kelley, Christopher King, Amol Ambardekar, Monica Nicolescu, Mircea Nicolescu, Alireza Tavakkoli, "Integrating Context into Intent Recognition Systems", Proceedings of the International Conference on Informatics in Control, Automation and Robotics, pages 315-320, Funchal, Madeira, Portugal, June 2010.

  • Gholamreza Amayeh, George Bebis, Mircea Nicolescu, "Improving Hand-Based Verification Through Online Finger Template Update Based on Fused Confidences", Proceedings of the IEEE International Conference on Biometrics: Theory, Applications and Systems, pages 352-357, Washington, DC, September 2009.

  • Amol Ambardekar, Mircea Nicolescu, Monica Nicolescu, "Object Tracking Using Piecewise Feature Clustering", Proceedings of the International Conference on Visualization, Imaging and Image Processing, pages 1-6, Cambridge, UK, July 2009.

  • Richard Kelley, Monica Nicolescu, Mircea Nicolescu, "Grammar-Based Robot Control", Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, pages 1153-1154, Budapest, Hungary, May 2009.

  • Richard Kelley, Monica Nicolescu, Mircea Nicolescu, Sushil Louis, "An Evolutionary Approach to Maximum Likelihood Estimation for Generative Stochastic Models", Proceedings of the International Symposium on Robotics, pages 371-376, Barcelona, Spain, March 2009.

  • Amol Ambardekar, Mircea Nicolescu, Sergiu Dascalu, "Ground Truth Verification Tool (GTVT) for Video Surveillance Systems", Proceedings of the International Conference on Advances in Computer-Human Interactions, pages 354-359, Cancun, Mexico, February 2009.

  • Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Efficient Background Modeling through Incremental Support Vector Data Description", Proceedings of the International Conference on Pattern Recognition, pages 1-4, Tampa, Florida, December 2008.

  • Fabien Scalzo, George Bebis, Mircea Nicolescu, Leandro Loss, "Feature Fusion Hierarchies for Gender Classification", Proceedings of the International Conference on Pattern Recognition, pages 1-4, Tampa, Florida, December 2008.

  • Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica Nicolescu, George Bebis, "A Visual Tracking Framework for Intent Recognition in Videos", Proceedings of the International Symposium on Visual Computing, pages 450-459, Las Vegas, Nevada, December 2008.

  • Amol Ambardekar, Mircea Nicolescu, George Bebis, "Efficient Vehicle Tracking and Classification for an Automated Traffic Surveillance System", Proceedings of the International Conference on Signal and Image Processing, pages 1-6, Kailua-Kona, Hawaii, August 2008.

  • Alireza Tavakkoli, Mircea Nicolescu, Monica Nicolescu, George Bebis, "Incremental SVDD Training: Improving Efficiency of Background Modeling in Videos", Proceedings of the International Conference on Signal and Image Processing, pages 1-6, Kailua-Kona, Hawaii, August 2008.

  • Gholamreza Amayeh, George Bebis, Mircea Nicolescu, "Gender Classification from Hand Shape", Proceedings of the IEEE Computer Society Workshop on Biometrics (in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition), pages 1-7, Anchorage, Alaska, June 2008.

  • Leandro Loss, George Bebis, Mircea Nicolescu, Alexei Skurikhin, "Investigating How and When Perceptual Organization Cues Improve Boundary Detection in Natural Images", Proceedings of the IEEE Computer Society Workshop on Perceptual Organization in Computer Vision (in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition), pages 1-8, Anchorage, Alaska, June 2008.

  • Fabien Scalzo, George Bebis, Mircea Nicolescu, Leandro Loss, "Evolutionary Learning of Feature Fusion Hierarchies", Proceedings of Benelearn 08, pages 33-34, Spa, Belgium, May 2008.

  • Richard Kelley, Alireza Tavakkoli, Christopher King, Monica Nicolescu, Mircea Nicolescu, George Bebis, "Understanding Human Intentions via Hidden Markov Models in Autonomous Mobile Robots", Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 367-374, Amsterdam, Netherlands, March 2008.

  • Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica Nicolescu, George Bebis, "A Vision-Based Architecture for Intent Recognition", Proceedings of the International Symposium on Visual Computing, pages 173-182, Lake Tahoe, Nevada, November 2007.

  • Christopher King, Xavier Palathingal, Monica Nicolescu, Mircea Nicolescu, "A Control Architecture for Long-Term Autonomy of Robotic Assistants", Proceedings of the International Symposium on Visual Computing, pages 375-384, Lake Tahoe, Nevada, November 2007.

  • Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil Louis, "A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data", Proceedings of the International Symposium on Visual Computing, pages 318-327, Lake Tahoe, Nevada, November 2007.

  • Leandro Loss, George Bebis, Mircea Nicolescu, Alexei Skurikhin, "An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds", Proceedings of the British Machine Vision Conference, pages 1-10, University of Warwick, UK, September 2007.

  • Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu, "A Component-Based Approach to Hand Verification", Proceedings of the IEEE Computer Society Workshop on Biometrics (in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition), pages 1-8, Minneapolis, Minnesota, June 2007.

  • Christopher King, Xavier Palathingal, Monica Nicolescu, Mircea Nicolescu, "A Vision-Based Architecture for Long-Term Human-Robot Interaction", Proceedings of the International Conference on Human-Computer Interaction, pages 1-6, Chamonix, France, March 2007.

  • Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu, "A New Approach to Hand-Based Authentication System", Proceedings of the SPIE Defense and Security Symposium, pages 1-9, Orlando, Florida, April 2007.

  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, "A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds", Proceedings of the International Symposium on Visual Computing, pages 40-49, Lake Tahoe, Nevada, November 2006.

  • Leandro Loss, George Bebis, Mircea Nicolescu, Alexei Skourikhine, "Perceptual Grouping Based on Iterative Multi-scale Tensor Voting", Proceedings of the International Symposium on Visual Computing, pages 870-881, Lake Tahoe, Nevada, November 2006.

  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, "Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds", Proceedings of the International Conference on Pattern Recognition, pages 315-318, Hong Kong, August 2006.

  • Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu, "Peg-Free Hand Shape Verification Using High Order Zernike Moments", Proceedings of the IEEE Computer Society Workshop on Biometrics (in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition), pages 40-47, New York, New York, June 2006.

  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, "An Adaptive, Recursive Learning Technique for Robust Foreground Object Detection", Proceedings of the Workshop on Statistical Methods in Multi-Image and Video Processing (in conjunction with the European Conference on Computer Vision), pages 1-12, Graz, Austria, May 2006.

  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, "Automatic Statistical Object Detection for Visual Surveillance", Proceedings of the IEEE Symposium on Image Analysis and Interpretation, pages 144-148, Denver, Colorado, March 2006.

  • Alireza Tavakkoli, Mircea Nicolescu, George Bebis, "Automatic Robust Background Modeling Using Multivariate Non-Parametric Kernel Density Estimation for Visual Surveillance", Proceedings of the International Symposium on Visual Computing, pages 363-370, Lake Tahoe, Nevada, December 2005.

  • Gholamreza Amayeh, Ali Erol, George Bebis, Mircea Nicolescu, "Accurate and Efficient Computation of High Order Zernike Moments", Proceedings of the International Symposium on Visual Computing, pages 462-469, Lake Tahoe, Nevada, December 2005.

  • Ali Erol, George Bebis, Mircea Nicolescu, Richard Boyle, Xander Twombly, "A Review on Vision-Based Full DOF Hand Motion Estimation", Proceedings of the IEEE Workshop on Vision for Human-Computer Interaction (V4HCI), (in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition), pages 75-82, San Diego, California, June 2005.

  • Ali Erol, George Bebis, Richard Boyle, Mircea Nicolescu, "Visual Hull Construction Using Adaptive Sampling", Proceedings of the IEEE Workshop on Applications of Computer Vision, pages 234-241, Breckenridge, Colorado, January 2005.

  • Mircea Nicolescu, Gerard Medioni, "Robust 3-D Interpretation from Two Frames with Multiple Motions", Proceedings of the International Conference on Computer Graphics and Imaging, pages 272-278, Kauai, Hawaii, August 2004.

  • Mircea Nicolescu, Changki Min, Gerard Medioni, "Analysis and Interpretation of Multiple Motions through Surface Saliency", Proceedings of the International Workshop on Spatial Coherence for Visual Motion Analysis (in conjunction with the European Conference on Computer Vision), pages 115 - 126, Prague, Czech Republic, May 2004.

  • Mircea Nicolescu, Gerard Medioni, "Voting-Based Grouping and Interpretation of Visual Motion", Proceedings of the IEEE Symposium on Image Analysis and Interpretation, pages 211-215, Lake Tahoe, Nevada, March 2004.

  • Mircea Nicolescu, Gerard Medioni, "Motion Segmentation with Accurate Boundaries - A Tensor Voting Approach", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. I, pages 382-389, Madison, Wisconsin, June 2003.

  • Mircea Nicolescu, Gerard Medioni, "4-D Voting for Matching, Densification and Segmentation into Motion Layers", Proceedings of the International Conference on Pattern Recognition, vol. III, pages 303-308, Quebec City, Canada, August 2002. (Best Student Paper Award)

  • Mircea Nicolescu, Gerard Medioni, "Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D", Proceedings of the European Conference on Computer Vision, vol. III, pages 423-437, Copenhagen, Denmark, May 2002.

  • Mircea Nicolescu, Gerard Medioni, "GlobeAll: Panoramic Video for an Intelligent Room", Proceedings of the International Conference on Pattern Recognition, vol. I, pages 823-826, Barcelona, Spain, September 2000.

  • Mircea Nicolescu, Gerard Medioni, "Electronic Pan-Tilt-Zoom: A Solution for Intelligent Room Systems", Proceedings of the International Conference on Multimedia and Expo, pages 1581-1584, New York, New York, July 2000.

  • Mircea Nicolescu, Gerard Medioni, Mi-Suen Lee, "Segmentation, Tracking and Interpretation Using Panoramic Video", Proceedings of the IEEE Workshop on Omnidirectional Vision, (in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition), pages 169-174, Hilton Head Island, South Carolina, June 2000.

Technical reports

Inventions and patents

  • Monica Nicolescu, Mircea Nicolescu, Sushil Louis, Dalton Navalta, Logan Carlson, "Intent Recognition Software for Naval Domains", Invention Disclosure, UNR Office of Research and Innovation, file no. DIS20-05, October 2019.

  • Mi-Suen Lee, Mircea Nicolescu, Gerard Medioni, "Fast Digital Pan Tilt Zoom Video", U.S. Patent no. 6778207, awarded August 2004.

  • Mircea Nicolescu, Gerard Medioni, "Globe-All: An Electronic Pan-Tilt-Zoom Camera Array", Invention Disclosure, USC Office of Technology Licensing, file no. 2955, March 2001.

Created by: Mircea NICOLESCU (email: mircea@unr.edu)