| 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 | 180 | 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 | 143 | 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 | 109 | 2002 |
| 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 | 87 | 2018 |
| 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 | 81 | 2005 |
| 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 | 74 | 2016 |
| Realizing the hydrogen economy through semantic web technologies J Hunter, J Drennan, S Little IEEE Intelligent Systems 19 (1), 40-47, 2004 | 72 | 2004 |
| 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 | 66 | 2018 |
| 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 | 62 | 2007 |
| 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 | 54 | 2001 |
| Rules-by-example–a novel approach to semantic indexing and querying of images S Little, J Hunter International Semantic Web Conference, 534-548, 2004 | 53 | 2004 |
| 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 | 33 | 2018 |
| 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 | 28 | 2017 |
| 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 | 25 | 2013 |
| Irish sign language recognition using principal component analysis and convolutional neural networks M Oliveira, H Chatbri, S Little, Y Ferstl, NE O'Connor, A Sutherland 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 23 | 2017 |
| 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 | 22 | 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 | 20 | 2005 |
| 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 | 18 | 2013 |
| Extracting knowledge from deep neural networks through graph analysis VAC Horta, I Tiddi, S Little, A Mileo Future Generation Computer Systems 120, 109-118, 2021 | 16 | 2021 |
| A low-cost smart sensor network for catchment monitoring D Zhang, B Heery, M O’Neil, S Little, NE O’Connor, F Regan Sensors 19 (10), 2278, 2019 | 16 | 2019 |
