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Paolo Remagnino
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2020 – today
- 2023
- [j50]Franco Angelini, Pierangela Angelini, Claudia Angiolini, Simonetta Bagella, Fabio Bonomo, Marco Caccianiga, Cosimo Della Santina, Daniela Gigante, Marco Hutter, Thrishantha Nanayakkara, Paolo Remagnino, Diego Torricelli, Manolo Garabini:
Robotic Monitoring of Habitats: The Natural Intelligence Approach. IEEE Access 11: 72575-72591 (2023) - [c91]Parminder Kaur, Daniela Gigante, Marco Caccianiga, Simonetta Bagella, Claudia Angiolini, Manolo Garabini, Franco Angelini, Paolo Remagnino:
Segmentation and Identification of Mediterranean Plant Species. ISVC (2) 2023: 431-442 - 2022
- [j49]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Simulating crowd behaviour combining both microscopic and macroscopic rules. Inf. Sci. 583: 137-158 (2022) - [j48]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Modelling group dynamics for crowd simulations. Pers. Ubiquitous Comput. 26(5): 1299-1319 (2022) - [j47]Mahdi Maktab Dar Oghaz, Manzoor Razaak, Paolo Remagnino:
Enhanced Single Shot Small Object Detector for Aerial Imagery Using Super-Resolution, Feature Fusion and Deconvolution. Sensors 22(12): 4339 (2022) - [c90]X. Huy Manh, Daniela Gigante, Claudia Angiolini, Simonetta Bagella, Marco Caccianiga, Franco Angelini, Manolo Garabini, Paolo Remagnino:
Towards the Computational Assessment of the Conservation Status of a Habitat. ECCV Workshops (6) 2022: 751-764 - 2021
- [j46]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
The boundary node method for multi-robot multi-goal path planning problems. Expert Syst. J. Knowl. Eng. 38(6) (2021) - [j45]Yang Loong Chang, Chee Seng Chan, Paolo Remagnino:
Action recognition on continuous video. Neural Comput. Appl. 33(4): 1233-1243 (2021) - [c89]Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, Sok Ching Cheong, Sarah Ann Barman:
Clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer. CAIP (1) 2021: 226-236 - [c88]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Simulating People Dynamics. Intelligent Environments 2021: 1-8 - [c87]Jian Han Lim, Chun Shui Tan, Chee Seng Chan, Roshan Alex Welikala, Paolo Remagnino, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman:
D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer. MIUA 2021: 408-422 - 2020
- [j44]Santiago Schez-Sobrino, David Vallejo-Fernandez, Dorothy Ndedi Monekosso, Carlos Glez-Morcillo, Paolo Remagnino:
A Distributed Gamified System Based on Automatic Assessment of Physical Exercises to Promote Remote Physical Rehabilitation. IEEE Access 8: 91424-91434 (2020) - [j43]Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman:
Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer. IEEE Access 8: 132677-132693 (2020) - [j42]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
A Boundary Node Method for path planning of mobile robots. Robotics Auton. Syst. 123 (2020) - [j41]Robert Dupre, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino:
Improving Dataset Volumes and Model Accuracy With Semi-Supervised Iterative Self-Learning. IEEE Trans. Image Process. 29: 4337-4348 (2020) - [c86]Jiri Fajtl, Lorenzo Vitali, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Unsupervised Methods for a Personalised Route Recommendation System. CSNDSP 2020: 1-4 - [c85]Anish R. Khadka, Vasileios Argyriou, Paolo Remagnino:
Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices. DCOSS 2020: 260-264 - [c84]Anish R. Khadka, Paolo Remagnino, Vasileios Argyriou:
Synthetic Crowd and Pedestrian Generator for Deep Learning Problems. ICASSP 2020: 4052-4056 - [c83]Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Latent Bernoulli Autoencoder. ICML 2020: 2964-2974 - [c82]Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman:
Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer. ISMCO 2020: 25-31
2010 – 2019
- 2019
- [c81]Anish R. Khadka, Mahdi Maktab Dar Oghaz, W. Matta, M. Cosentino, Paolo Remagnino, Vasileios Argyriou:
Learning how to analyse crowd behaviour using synthetic data. CASA 2019: 11-14 - [c80]Manzoor Razaak, Hamideh Kerdegari, Eleanor Davies, Raouf Abozariba, Matthew Broadbent, Katy Mason, Vasileios Argyriou, Paolo Remagnino:
An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies. CAIP Workshops 2019: 109-119 - [c79]Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou, Paolo Remagnino:
Smart Monitoring of Crops Using Generative Adversarial Networks. CAIP (1) 2019: 554-563 - [c78]Robert Dupre, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino:
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy. CVPR Workshops 2019: 79-82 - [c77]Antoine Rimboux, Rob Dupre, Eldriona Daci, Thomas Lagkas, Panagiotis G. Sarigiannidis, Paolo Remagnino, Vasileios Argyriou:
Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation. DCOSS 2019: 304-311 - [c76]Mahdi Maktab Dar Oghaz, Manzoor Razaak, Hamideh Kerdegari, Vasileios Argyriou, Paolo Remagnino:
Scene and Environment Monitoring Using Aerial Imagery and Deep Learning. DCOSS 2019: 362-369 - [c75]Manzoor Razaak, Hamideh Kerdegari, Vasileios Argyriou, Paolo Remagnino:
Multi-scale Feature Fused Single Shot Detector for Small Object Detection in UAV Images. ICVS 2019: 778-786 - [c74]Mahdi Maktab Dar Oghaz, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Skin Identification Using Deep Convolutional Neural Network. ISVC (1) 2019: 181-193 - [c73]Santiago Schez-Sobrino, Dorothy Ndedi Monekosso, Paolo Remagnino, David Vallejo, Carlos Glez-Morcillo:
Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation. MAPR 2019: 1-6 - [c72]Chloe Eunhyang Kim, Mahdi Maktab Dar Oghaz, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino:
A Comparison of Embedded Deep Learning Methods for Person Detection. VISIGRAPP (5: VISAPP) 2019: 459-465 - [i13]Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou, Paolo Remagnino:
Semi-supervised GAN for Classification of Multispectral Imagery Acquired by UAVs. CoRR abs/1905.10920 (2019) - [i12]Mahdi Maktab Dar Oghaz, Manzoor Razaak, Hamideh Kerdegari, Vasileios Argyriou, Paolo Remagnino:
Scene and Environment Monitoring Using Aerial Imagery and Deep Learning. CoRR abs/1906.02809 (2019) - [i11]Robert Dupre, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino:
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy. CoRR abs/1906.02823 (2019) - [i10]Antoine Rimboux, Rob Dupre, Thomas Lagkas, Panagiotis G. Sarigiannidis, Paolo Remagnino, Vasileios Argyriou:
Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation. CoRR abs/1906.03994 (2019) - [i9]Mahdi Maktab Dar Oghaz, Anish R. Khadka, Vasileios Argyriou, Paolo Remagnino:
Content-aware Density Map for Crowd Counting and Density Estimation. CoRR abs/1906.07258 (2019) - 2018
- [j40]Sue Han Lee, Chee Seng Chan, Paolo Remagnino:
Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks. IEEE Trans. Image Process. 27(9): 4287-4301 (2018) - [c71]Jiri Fajtl, Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Summarizing Videos with Attention. ACCV Workshops 2018: 39-54 - [c70]Shumei Zhang, Dorothy Monekosso, Paolo Remagnino:
Data Pre-processing and Model Selection Strategies for Human Posture Recognition. CSNDSP 2018: 1-6 - [c69]Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
AMNet: Memorability Estimation With Attention. CVPR 2018: 6363-6372 - [c68]Bappaditya Mandal, Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition. ICIP 2018: 938-942 - [c67]Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Superframes, A Temporal Video Segmentation. ICPR 2018: 566-571 - [c66]Anish R. Khadka, Paolo Remagnino, Vasileios Argyriou:
Object 3D Reconstruction Based on Photometric Stereo and Inverted Rendering. SITIS 2018: 208-215 - [i8]Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
AMNet: Memorability Estimation with Attention. CoRR abs/1804.03115 (2018) - [i7]Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Superframes, A Temporal Video Segmentation. CoRR abs/1804.06642 (2018) - [i6]Anish R. Khadka, Paolo Remagnino, Vasileios Argyriou:
Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering. CoRR abs/1811.02357 (2018) - [i5]Jiri Fajtl, Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Summarizing Videos with Attention. CoRR abs/1812.01969 (2018) - [i4]Chloe Eunhyang Kim, Mahdi Maktab Dar Oghaz, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino:
A Comparison of Embedded Deep Learning Methods for Person Detection. CoRR abs/1812.03451 (2018) - 2017
- [j39]Sue Han Lee, Chee Seng Chan, Simon Mayo, Paolo Remagnino:
How deep learning extracts and learns leaf features for plant classification. Pattern Recognit. 71: 1-13 (2017) - [c65]Sue Han Lee, Yang Loong Chang, Chee Seng Chan, Paolo Remagnino:
HGO-CNN: Hybrid generic-organ convolutional neural network for multi-organ plant classification. ICIP 2017: 4462-4466 - 2016
- [j38]Feng Gu, Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg, Francisco Flórez-Revuelta, Dorothy Monekosso, Paolo Remagnino:
Weakly supervised activity analysis with spatio-temporal localisation. Neurocomputing 216: 778-789 (2016) - [j37]Nikolaos V. Boulgouris, David R. Bull, Marco Cagnazzo, Andrea Cavallaro, Gene Cheung, Amit K. Roy-Chowdhury, Pedro Comesaña Alfaro, Shan Du, Sarp Ertürk, Markus Flierl, Gian Luca Foresti, Gang Hua, Zhu Li, Weisi Lin, Siwei Ma, Pramod Kumar Meher, Debargha Mukherjee, Aleksandra Pizurica, Andrea Prati, Paolo Remagnino, Arun Ross, Shin'ichi Satoh, Andreas E. Savakis, Heiko Schwarz, Ling Shao, Shervin Shirmohammadi, Giuseppe Valenzise, Meng Wang, Zhou Wang, Yonggang Wen, Dong Xu, Junsong Yuan, Yuan Yuan:
Introduction of New Associate Editors. IEEE Trans. Circuits Syst. Video Technol. 26(2): 253-263 (2016) - [c64]Sue Han Lee, Yang Loong Chang, Chee Seng Chan, Paolo Remagnino:
Plant Identification System based on a Convolutional Neural Network for the LifeClef 2016 Plant Classification Task. CLEF (Working Notes) 2016: 502-510 - [c63]Abhishek Jhawar, Chee Seng Chan, Dorothy Monekosso, Paolo Remagnino:
Fuzzy-rough based decision system for gait adopting instance selection. FUZZ-IEEE 2016: 1127-1133 - 2015
- [j36]Dorothy Ndedi Monekosso, Francisco Flórez-Revuelta, Paolo Remagnino:
Ambient Assisted Living [Guest editors' introduction]. IEEE Intell. Syst. 30(4): 2-6 (2015) - [j35]Feng Gu, Francisco Flórez-Revuelta, Dorothy Monekosso, Paolo Remagnino:
Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition. Sensors 15(7): 17209-17231 (2015) - [j34]Dorothy Ndedi Monekosso, Francisco Flórez-Revuelta, Paolo Remagnino:
Guest Editorial Special Issue on Ambient-Assisted Living: Sensors, Methods, and Applications. IEEE Trans. Hum. Mach. Syst. 45(5): 545-549 (2015) - [c62]Giounona Tzanidou, Pau Climent-Pérez, Georg Hummel, Marc Schmitt, Peter Stütz, Dorothy Ndedi Monekosso, Paolo Remagnino:
Telemetry assisted frame registration and background subtraction in low-altitude UAV videos. AVSS 2015: 1-6 - [c61]Sue Han Lee, Chee Seng Chan, Paul Wilkin, Paolo Remagnino:
Deep-plant: Plant identification with convolutional neural networks. ICIP 2015: 452-456 - [i3]Sue Han Lee, Chee Seng Chan, Paul Wilkin, Paolo Remagnino:
Deep-Plant: Plant Identification with convolutional neural networks. CoRR abs/1506.08425 (2015) - 2014
- [j33]Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino:
Refined particle swarm intelligence method for abrupt motion tracking. Inf. Sci. 283: 267-287 (2014) - [c60]Pau Climent-Pérez, Dorothy Ndedi Monekosso, Paolo Remagnino:
Multi-view Event Detection in Crowded Scenes Using Tracklet Plots. ICPR 2014: 4370-4375 - [c59]Pau Climent-Pérez, Georgios Lazaridis, Georg Hummel, Martin Russ, Dorothy Ndedi Monekosso, Paolo Remagnino:
Telemetry-Based Search Window Correction for Airborne Tracking. ISVC (1) 2014: 457-466 - [c58]Feng Gu, Francisco Flórez-Revuelta, Dorothy Ndedi Monekosso, Paolo Remagnino:
A Multiple Kernel Learning Based Fusion Framework for Real-Time Multi-View Action Recognition. IWAAL 2014: 26-33 - [c57]Pau Climent-Pérez, Alexandre Mauduit, Dorothy Ndedi Monekosso, Paolo Remagnino:
Detecting Events in Crowded Scenes using Tracklet Plots. VISAPP (2) 2014: 174-181 - [i2]Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino:
Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking. CoRR abs/1410.3744 (2014) - [i1]Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino:
Detection of Salient Regions in Crowded Scenes. CoRR abs/1410.3932 (2014) - 2013
- [j32]Myo Thida, How-Lung Eng, Dorothy Ndedi Monekosso, Paolo Remagnino:
A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets. Appl. Soft Comput. 13(6): 3106-3117 (2013) - [j31]M. M. Fraz, Paolo Remagnino, Andreas Hoppe, Alicja R. Rudnicka, Christopher G. Owen, Peter Whincup, Sarah Barman:
Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach. Comput. Medical Imaging Graph. 37(1): 48-60 (2013) - [j30]Dorothy Ndedi Monekosso, Paolo Remagnino:
Data reconciliation in a smart home sensor network. Expert Syst. Appl. 40(8): 3248-3255 (2013) - [j29]Robert J. Mullen, Dorothy Ndedi Monekosso, Paolo Remagnino:
Ant algorithms for image feature extraction. Expert Syst. Appl. 40(11): 4315-4332 (2013) - [j28]James S. Cope, Paolo Remagnino, S. Mannan, Katerine Díaz-Chito, Francesc J. Ferri, Paul Wilkin:
Reverse engineering expert visual observations: From fixations to the learning of spatial filters with a neural-gas algorithm. Expert Syst. Appl. 40(17): 6707-6712 (2013) - [j27]Myo Thida, How-Lung Eng, Paolo Remagnino:
Laplacian Eigenmap With Temporal Constraints for Local Abnormality Detection in Crowded Scenes. IEEE Trans. Cybern. 43(6): 2147-2156 (2013) - [c56]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernández, Tomás Vojír, Adam Gatt, Ahmad Khajenezhad, Ahmed Salah El-Din, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu:
The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops 2013: 98-111 - [c55]Mei Kuan Lim, Chee Seng Chan, Dorothy Ndedi Monekosso, Paolo Remagnino:
SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker. MVA 2013: 37-40 - [p1]Myo Thida, Yoke Leng Yong, Pau Climent-Pérez, How-Lung Eng, Paolo Remagnino:
A Literature Review on Video Analytics of Crowded Scenes. Intelligent Multimedia Surveillance 2013: 17-36 - 2012
- [j26]Muhammad Moazam Fraz, Paolo Remagnino, Andreas Hoppe, Bunyarit Uyyanonvara, Alicja R. Rudnicka, Christopher G. Owen, Sarah A. Barman:
Blood vessel segmentation methodologies in retinal images - A survey. Comput. Methods Programs Biomed. 108(1): 407-433 (2012) - [j25]M. M. Fraz, Sarah Barman, Paolo Remagnino, Andreas Hoppe, Abdul Basit, Bunyarit Uyyanonvara, Alicja R. Rudnicka, Christopher G. Owen:
An approach to localize the retinal blood vessels using bit planes and centerline detection. Comput. Methods Programs Biomed. 108(2): 600-616 (2012) - [j24]James S. Cope, David P. A. Corney, Jonathan Y. Clark, Paolo Remagnino, Paul Wilkin:
Plant species identification using digital morphometrics: A review. Expert Syst. Appl. 39(8): 7562-7573 (2012) - [j23]Myo Thida, How-Lung Eng, Dorothy Ndedi Monekosso, Paolo Remagnino:
Learning Video Manifolds for Content Analysis of Crowded Scenes. IPSJ Trans. Comput. Vis. Appl. 4: 71-77 (2012) - [j22]Muhammad Moazam Fraz, Paolo Remagnino, Andreas Hoppe, Bunyarit Uyyanonvara, Alicja R. Rudnicka, Christopher G. Owen, Sarah Barman:
An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation. IEEE Trans. Biomed. Eng. 59(9): 2538-2548 (2012) - [c54]James S. Cope, Paolo Remagnino:
Classifying Plant Leaves from Their Margins Using Dynamic Time Warping. ACIVS 2012: 258-267 - [c53]James S. Cope, Paolo Remagnino:
Utilizing the Hungarian Algorithm for Improved Classification of High-Dimension Probability Density Functions in an Image Recognition Problem. ACIVS 2012: 268-277 - [c52]Raphael Grech, Francisco Flórez-Revuelta, Dorothy Ndedi Monekosso, Paolo Remagnino:
Robot Teams: Sharing Visual Memories. DARS 2012: 369-381 - [c51]José Ramón Padilla-López, Francisco Flórez-Revuelta, Dorothy Ndedi Monekosso, Paolo Remagnino:
The "Good" Brother: Monitoring People Activity in Private Spaces. DCAI 2012: 49-56 - [c50]M. M. Fraz, Paolo Remagnino, Andreas Hoppe, Bunyarit Uyyanonvara, Alicja R. Rudnicka, Christopher G. Owen, Sarah Barman:
Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles. ICIAR (2) 2012: 380-389 - [c49]Muhammad Moazam Fraz, Paolo Remagnino, Andreas Hoppe, Sarah Barman, Alicja R. Rudnicka, Christopher G. Owen, Peter Whincup:
A Model Based Approach for Vessel Caliber Measurement in Retinal Images. SITIS 2012: 129-136 - [c48]James S. Cope, Paolo Remagnino:
Classification of High-Dimension PDFs Using the Hungarian Algorithm. SSPR/SPR 2012: 727-733 - [r1]Christopher King, Maria Valera, Raphael Grech, Robert J. Mullen, Paolo Remagnino, Luca Iocchi, Luca Marchetti, Daniele Nardi, Dorothy Ndedi Monekosso, Mircea Nicolescu:
Multi-Robot and Multi-Camera Patrolling. Handbook of Soft Computing for Video Surveillance 2012: 255-286 - [d1]James S. Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman:
One-hundred plant species leaves data set. UCI Machine Learning Repository, 2012 - 2011
- [j21]Robert J. Mullen, Sarah Barman, Paolo Remagnino, Dorothy Ndedi Monekosso:
Towards autonomous robot swarms for multi-target localisation and monitoring with applications to counter IED operations. Int. J. Intell. Def. Support Syst. 4(1): 87-107 (2011) - [c47]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 - [c46]M. M. Fraz, Paolo Remagnino, Andreas Hoppe, Sergio A. Velastin, Bunyarit Uyyanonvara, Sarah Barman:
A supervised method for retinal blood vessel segmentation using line strength, multiscale Gabor and morphological features. ICSIPA 2011: 410-415 - [c45]M. M. Fraz, Paolo Remagnino, Andreas Hoppe, Bunyarit Uyyanonvara, Christopher G. Owen, Alicja R. Rudnicka, Sarah Barman:
Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing. ISVC (1) 2011: 410-420 - 2010
- [j20]Christian Micheloni, Paolo Remagnino, How-Lung Eng, Jason Geng:
Intelligent Monitoring of Complex Environments. IEEE Intell. Syst. 25(3): 12-14 (2010) - [j19]Javier Albusac, David Vallejo, José Jesús Castro-Schez, Paolo Remagnino, Carlos González-Morcillo, Luis Jiménez:
Monitoring Complex Environments Using a Knowledge-Driven Approach Based on Intelligent Agents. IEEE Intell. Syst. 25(3): 24-31 (2010) - [j18]Dorothy Ndedi Monekosso, Paolo Remagnino:
Behavior Analysis for Assisted Living. IEEE Trans Autom. Sci. Eng. 7(4): 879-886 (2010) - [c44]Myo Thida, How-Lung Eng, Dorothy Ndedi Monekosso, Paolo Remagnino:
Learning Video Manifold for Segmenting Crowd Events and Abnormality Detection. ACCV (1) 2010: 439-449 - [c43]James S. Cope, Paolo Remagnino, Sarah Barman, Paul Wilkin:
The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms. ACIVS (1) 2010: 135-144 - [c42]Thibaut Beghin, James S. Cope, Paolo Remagnino, Sarah Barman:
Shape and Texture Based Plant Leaf Classification. ACIVS (2) 2010: 345-353 - [c41]Raphael Grech, Dorothy Ndedi Monekosso, Deon de Jager, Paolo Remagnino:
A Vision-Based System for Object Identification and Information Retrieval in a Smart Home. AmI 2010: 239-247 - [c40]Robert J. Mullen, Dorothy Ndedi Monekosso, Sarah Barman, Paolo Remagnino:
Reactive Coordination and Adaptive Lattice Formation in Mobile Robotic Surveillance Swarms. DARS 2010: 229-242 - [c39]James S. Cope, Paolo Remagnino, Sarah Barman, Paul Wilkin:
Plant Texture Classification Using Gabor Co-occurrences. ISVC (2) 2010: 669-677
2000 – 2009
- 2009
- [j17]Robert J. Mullen, Dorothy Ndedi Monekosso, Sarah Barman, Paolo Remagnino:
A review of ant algorithms. Expert Syst. Appl. 36(6): 9608-9617 (2009) - [j16]Paolo Remagnino, Gian Luca Foresti:
Computer vision methods for ambient intelligence. Image Vis. Comput. 27(10): 1419-1420 (2009) - [j15]Dorothy Ndedi Monekosso, Paolo Remagnino:
Discovering Patterns of Behavior in a Smart Home. J. Digit. Inf. Manag. 7(6): 371-376 (2009) - [j14]Paolo Remagnino, Dorothy Ndedi Monekosso, Yoshinori Kuno, Mohan M. Trivedi, How-Lung Eng:
Guest Editorial Introducing Automation and Engineering for Ambient Intelligence. IEEE Trans Autom. Sci. Eng. 6(4): 573-576 (2009) - [c38]Dorothy Ndedi Monekosso, Paolo Remagnino:
Synthetic Training Data Generation for Activity Monitoring and Behavior Analysis. AmI 2009: 267-275 - [c37]Domenico Daniele Bloisi, Luca Iocchi, Luca Marchetti, Dorothy Ndedi Monekosso, Paolo Remagnino:
An Adaptive Tracker for Assisted Living. AVSS 2009: 164-169 - [c36]Robert J. Mullen, Dorothy Ndedi Monekosso, Sarah A. Barman, Paolo Remagnino:
Autonomous control laws for mobile robotic surveillance swarms. CISDA 2009: 1-6 - [c35]David Vallejo, Paolo Remagnino, Dorothy Ndedi Monekosso, Luis Jiménez, Carlos González-Morcillo:
A Multi-agent Architecture for Multi-robot Surveillance. ICCCI 2009: 266-278 - [c34]Myo Thida, Paolo Remagnino, How-Lung Eng:
A particle swarm optimization approach for multi-objects tracking in crowded scene. ICCV Workshops 2009: 1209-1215 - [c33]Dorothy Ndedi Monekosso, Paolo Remagnino:
Synthetic Training Data Generation for ADL Modeling. Intelligent Environments (Workshops) 2009: 137-144 - [c32]Domenico Daniele Bloisi, Luca Iocchi, Dorothy Ndedi Monekosso, Paolo Remagnino:
A Novel Segmentation Method for Crowded Scenes. VISAPP (2) 2009: 484-489 - 2008
- [j13]Beibei Zhan, Dorothy Ndedi Monekosso, Paolo Remagnino, Sergio A. Velastin, Li-Qun Xu:
Crowd analysis: a survey. Mach. Vis. Appl. 19(5-6): 345-357 (2008) - [c31]Robert J. Mullen, Dorothy Ndedi Monekosso, Sarah Barman, Paolo Remagnino, Paul Wilkin:
Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns. ANTS Conference 2008: 251-258 - [c30]Hossein Ragheb, Sergio A. Velastin, Paolo Remagnino, Tim Ellis:
ViHASi: Virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods. ICDSC 2008: 1-10 - [c29]Hossein Ragheb, Sergio A. Velastin, Paolo Remagnino, Tim Ellis:
Human action recognition using robust power spectrum features. ICIP 2008: 753-756 - [c28]Beibei Zhan, Paolo Remagnino, Ndedi D. Monekosso, Sergio A. Velastin:
Self-Organizing Maps for the Automatic Interpretation of Crowd Dynamics. ISVC (1) 2008: 440-449 - [c27]Hossein Ragheb, Sergio A. Velastin, Paolo Remagnino, Tim Ellis:
ViHASi: virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods. VNBA 2008: 77-84 - [e4]George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Paolo Remagnino, Fatih Murat Porikli, Jörg Peters, James T. Klosowski, Laura L. Arns, Yu Ka Chun, Theresa-Marie Rhyne, Laura Monroe:
Advances in Visual Computing, 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part I. Lecture Notes in Computer Science 5358, Springer 2008, ISBN 978-3-540-89638-8 [contents] - [e3]George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Paolo Remagnino, Fatih Murat Porikli, Jörg Peters, James T. Klosowski, Laura L. Arns, Yu Ka Chun, Theresa-Marie Rhyne, Laura Monroe:
Advances in Visual Computing, 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part II. Lecture Notes in Computer Science 5359, Springer 2008, ISBN 978-3-540-89645-6 [contents] - 2007
- [j12]Paolo Remagnino, Daniel G. Shapiro:
Artificial Intelligence Methods for Ambient Intelligence. Comput. Intell. 23(4): 393-394 (2007) - [j11]Dorothy Ndedi Monekosso, Paolo Remagnino:
Monitoring Behavior with an Array of Sensors. Comput. Intell. 23(4): 420-438 (2007) - [j10]Paolo Remagnino, Andrea Prati, Gian Luca Foresti, Rita Cucchiara:
Expert environments: machine intelligence methods for ambient intelligence. Expert Syst. J. Knowl. Eng. 24(5): 293-294 (2007) - [j9]Paolo Remagnino, Sergio A. Velastin, Gian Luca Foresti, Mohan M. Trivedi:
Novel concepts and challenges for the next generation of video surveillance systems. Mach. Vis. Appl. 18(3-4): 135-137 (2007) - [c26]Dorothy Ndedi Monekosso, Paolo Remagnino:
Detecting Activities for Assisted Living. AmI Workshops 2007: 228-237 - [c25]Beibei Zhan, Paolo Remagnino, Sergio A. Velastin, Ndedi D. Monekosso, Li-Qun Xu:
A Quantitative Comparison of Two New Motion Estimation Algorithms. ISVC (1) 2007: 424-431 - [c24]Beibei Zhan, Ndedi D. Monekosso, Paolo Remagnino, Tajin Rukhsana, Al Mansur, Yoshinori Kuno:
Skin Patch Trajectories as Scene Dynamics Descriptors. MVA 2007: 315-318 - 2006
- [c23]James Clarke, Sarah Barman, Paolo Remagnino, Ken Bailey, Don Kirkup, Simon Mayo, Paul Wilkin:
Venation Pattern Analysis of Leaf Images. ISVC (2) 2006: 427-436 - [c22]Beibei Zhan, Paolo Remagnino, Sergio A. Velastin, Ndedi D. Monekosso, Li-Qun Xu:
Motion Estimation with Edge Continuity Constraint for Crowd Scene Analysis. ISVC (2) 2006: 861-869 - [e2]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Paolo Remagnino, Ara V. Nefian, Meenakshisundaram Gopi, Valerio Pascucci, Jiri Zara, Jose Molineros, Holger Theisel, Thomas Malzbender:
Advances in Visual Computing, Second International Symposium, ISVC 2006, Lake Tahoe, NV, USA, November 6-8, 2006 Proceedings, Part I. Lecture Notes in Computer Science 4291, Springer 2006, ISBN 3-540-48628-3 [contents] - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Paolo Remagnino, Ara V. Nefian, Meenakshisundaram Gopi, Valerio Pascucci, Jiri Zara, Jose Molineros, Holger Theisel, Thomas Malzbender:
Advances in Visual Computing, Second International Symposium, ISVC 2006 Lake Tahoe, NV, USA, November 6-8, 2006. Proceedings, Part II. Lecture Notes in Computer Science 4292, Springer 2006 [contents] - 2005
- [j8]Adam Szarowicz, Jaroslaw Francik, Marek Mittmann, Paolo Remagnino:
Layering and heterogeneity as design principles for animated embedded agents. Inf. Sci. 171(4): 355-376 (2005) - [j7]Gian Luca Foresti, Christian Micheloni, Lauro Snidaro, Paolo Remagnino, Tim Ellis:
Active video-based surveillance system: the low-level image and video processing techniques needed for implementation. IEEE Signal Process. Mag. 22(2): 25-37 (2005) - [c21]Beibei Zhan, Paolo Remagnino, Sergio A. Velastin:
Mining Paths of Complex Crowd Scenes. ISVC 2005: 126-133 - 2004
- [j6]Ndedi D. Monekosso, Paolo Remagnino:
The analysis and performance evaluation of the pheromone-Q-learning algorithm. Expert Syst. J. Knowl. Eng. 21(2): 80-91 (2004) - [j5]Paolo Remagnino, A. I. Shihab, Graeme A. Jones:
Distributed intelligence for multi-camera visual surveillance. Pattern Recognit. 37(4): 675-689 (2004) - [c20]Adam Szarowicz, Paolo Remagnino:
Avatars That Learn How to Behave. ECAI 2004: 554-558 - 2003
- [c19]Dorothy Ndedi Monekosso, Paolo Remagnino:
Robot exploration using the expectation-maximisation algorithm. CIRA 2003: 407-411 - [c18]Adam Szarowicz, Marek Mittmann, Paolo Remagnino, Jaroslaw Francik:
Automatic Acquisition of Actions for Animated Agents. GAME-ON 2003: 170- - 2002
- [c17]Ndedi D. Monekosso, Paolo Remagnino:
An Analysis of the Pheromone Q-Learning Algorithm. IBERAMIA 2002: 224-232 - 2001
- [j4]James Orwell, Paolo Remagnino, Graeme A. Jones:
Optimal Color Quantization for Real-Time Object Recognition. Real Time Imaging 7(5): 401-414 (2001) - [c16]Paolo Remagnino, Graeme A. Jones, Ndedi D. Monekosso:
Reasoning about Dynamic Scenes Using Autonomous Agents. AI*IA 2001: 201-211 - [c15]Ndedi D. Monekosso, Paolo Remagnino:
Phe-Q: A Pheromone Based Q-Learning. Australian Joint Conference on Artificial Intelligence 2001: 345-355 - [c14]Adam Szarowicz, Juan Amiguet-Vercher, Peter Forte, Jonathan Briggs, Petros Gelepithis, Paolo Remagnino:
The Application of AI to Automatically Generated Animation. Australian Joint Conference on Artificial Intelligence 2001: 487-494 - [c13]Paolo Remagnino, Graeme A. Jones:
Classifying Surveillance Events from Attributes and Behaviour. BMVC 2001: 1-10 - [c12]Ndedi D. Monekosso, Paolo Remagnino, Adam Szarowicz:
An Improved Q-Learning Algorithm Using Synthetic Pheromones. CEEMAS 2001: 197-206 - [c11]José Martínez Sotoca, Francesc J. Ferri, Jaime Gutierrez, Paolo Remagnino, Graeme A. Jones:
Approximated Tracking of Multiple Non-rigid Objects using Adaptive Quantization and Resampling Techniques. VIIP 2001: 619-623 - 2000
- [c10]Paolo Remagnino:
Situated and Ubiquitous Behaviours: Layers of Abstraction for Scene Understanding. Artificial Intelligence and Soft Computing 2000: 234-240 - [c9]Luca Marchesotti, Paolo Remagnino, Graeme A. Jones:
Evaluating centralized and distributed multi-agent architectures for visual surveillance applications. EUSIPCO 2000: 1-4
1990 – 1999
- 1999
- [c8]Ndedi D. Monekosso, Paolo Remagnino:
Autonomous Spacecraft Resource Management: A Multi-agent Approach. AI*IA 1999: 297-308 - [c7]Paolo Remagnino, James Orwell, Graeme A. Jones:
Multi-agent Scene Interpretation. AI*IA 1999: 309-320 - [c6]James Orwell, Simon Massey, Paolo Remagnino, Darrel Greenhill, Graeme A. Jones:
A Multi-Agent Framework for Visual Surveillance. ICIAP 1999: 1104-1107 - 1998
- [j3]Paolo Remagnino, Tieniu Tan, Keith D. Baker:
Multi-agent visual surveillance of dynamic scenes. Image Vis. Comput. 16(8): 529-532 (1998) - [c5]Paolo Remagnino, Tieniu Tan, Keith D. Baker:
Agent Orientated Annotation in Model Based Visual Surveillance. ICCV 1998: 857-862 - 1997
- [j2]Geoffrey D. Sullivan, Keith D. Baker, Anthony D. Worrall, C. I. Attwood, Paolo Remagnino:
Model-based vehicle detection and classification using orthographic approximations. Image Vis. Comput. 15(8): 649-654 (1997) - [c4]Ndedi D. Monekosso, Paolo Remagnino:
Automated Reasoning On-Board Autonomous Spacecraft. AI*IA 1997: 290-301 - [c3]Paolo Remagnino, Adam Baumberg, T. Grove, David C. Hogg, T. N. Tan, Anthony D. Worrall, Keith D. Baker:
An Integrated Traffic and Pedestrian Model-Based Vision System. BMVC 1997 - 1995
- [j1]Paolo Remagnino, John Illingworth, Josef Kittler, Jiri Matas:
Intentional control of camera look direction and viewpoint in an active vision system. Image Vis. Comput. 13(2): 79-88 (1995) - [c2]Zhong-Dan Lan, Roger Mohr, Paolo Remagnino:
Robust Matching by Partial Correlation. BMVC 1995: 1-10 - 1992
- [c1]Paolo Remagnino, Josef Kittler, George Matas, John Illingworth:
On Computing the Next Look Camera Parameters in Active Vision. ECAI 1992: 806-807
Coauthor Index
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