Suzanne Little
Suzanne Little
School of Computing, Dublin City University
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Citado por
Fully Convolutional Crowd Counting On Highly Congested Scenes
M Marsden, K McGuiness, S Little, NE O'Connor
12th International Joint Conference on Computer Vision, Imaging and Computer …, 2017
Resnetcrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification
M Marsden, K McGuinness, S Little, NE O'Connor
2017 14th IEEE international conference on advanced video and signal based …, 2017
Dynamic generation of intelligent multimedia presentations through semantic inferencing
S Little, J Geurts, J Hunter
International Conference on Theory and Practice of Digital Libraries, 158-175, 2002
Evaluating the application of semantic inferencing rules to image annotation
L Hollink, S Little, J Hunter
Proceedings of the 3rd international conference on Knowledge capture, 91-98, 2005
Realizing the hydrogen economy through semantic web technologies
J Hunter, J Drennan, S Little
IEEE Intelligent Systems 19 (1), 40-47, 2004
People, penguins and petri dishes: Adapting object counting models to new visual domains and object types without forgetting
M Marsden, K McGuinness, S Little, CE Keogh, NE O'Connor
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Holistic features for real-time crowd behaviour anomaly detection
M Marsden, K McGuinness, S Little, NE O'Connor
2016 IEEE International Conference on Image Processing (ICIP), 918-922, 2016
Mpeg-7 based multimedia ontologies: Interoperability support or interoperability issue
R Troncy, Ó Celma, S Little, R García, C Tsinaraki
1st international workshop on multimedia annotation and retrieval enabled by …, 2007
Rules-by-example–a novel approach to semantic indexing and querying of images
S Little, J Hunter
International Semantic Web Conference, 534-548, 2004
Building and indexing a distributed multimedia presentation archive using SMIL
J Hunter, S Little
International Conference on Theory and Practice of Digital Libraries, 415-428, 2001
“Colearning”-collaborative networks for creating, sharing and reusing OER through social media
A Okada, A Mikroyannidis, I Meister, S Little
A deep residual architecture for skin lesion segmentation
GM Venkatesh, YG Naresh, S Little, NE O’Connor
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
Performance of video processing at the edge for crowd-monitoring applications
C Bailas, M Marsden, D Zhang, NE O'Connor, S Little
2018 IEEE 4th World Forum on Internet of Things (WF-IoT), 482-487, 2018
An information retrieval approach to identifying infrequent events in surveillance video
S Little, I Jargalsaikhan, K Clawson, M Nieto, H Li, C Direkoglu, ...
Proceedings of the 3rd ACM conference on International conference on …, 2013
Next Generation Search Interfaces–Interactive Data Exploration and Hypothesis Formulation
J Hunter, K Falkovych, S Little
International Conference on Theory and Practice of Digital Libraries, 86-98, 2004
A framework to enable the semantic inferencing and querying of multimedia content
J Hunter, S Little
International journal of Web engineering and technology 2 (2-3), 264-286, 2005
Enriching the fan experience in a smart stadium using internet of things technologies
S Panchanathan, S Chakraborty, T McDaniel, R Tadayon, B Fakhri, ...
International Journal of Semantic Computing 11 (02), 137-170, 2017
Action recognition based on sparse motion trajectories
I Jargalsaikhan, S Little, C Direkoglu, NE O'Connor
2013 IEEE International Conference on Image Processing, 3982-3985, 2013
Open Educational Resources and Social Networks: Co-Learning and Professional Development
A Okada, A Mikroyannidis, I Meister, S Little
London: Scholio Educational Research & Publishing, 2012
MultiMedia Metadata Management: a Proposal for an Infrastructure.
P Asirelli, S Little, M Martinelli, O Salvetti
SWAP, 2006
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