Suzanne Little

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 57

Top Topics

Sign Language Recognition

Video Classification

Unsupervised Anomaly Detection

Convolutional Neural Networks

Top Venues

UrbanMM @ ACM Multimedia

Publications

Khadija Iddrisu, Waseem Shariff, Suzanne Little
A Framework for Pupil Tracking with Event Cameras. CoRR (2024)
Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation. CoRR (2024)
Chinmaya Kaundanya, Paulo Cesar, Barry Cronin, Andrew Fleury, Mingming Liu, Suzanne Little
Using Attention Mechanisms in Compact CNN Models for Improved Micromobility Safety Through Lane Recognition. VEHITS (2024)
Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little
ConvLoRA and AdaBN based Domain Adaptation via Self-Training. CoRR (2024)
Abhishek Mandal, Susan Leavy, Suzanne Little
Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. CoRR (2023)
Abhishek Mandal, Suzanne Little, Susan Leavy
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. CoRR (2023)
Giulia Osti, Amber L. Cushing, Suzanne Little
More than Meets the (Artificial) Eye: Exploring Historical Photographs from Ireland with Computer Vision Methods. DH (2023)
Abhishek Mandal, Suzanne Little, Susan Leavy
Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. ICMI (2023)
Abhishek Mandal, Susan Leavy, Suzanne Little
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? CoRR (2023)
Malgorzata Gutowska, Suzanne Little, Andrew McCarren
Constructing a Meta-Learner for Unsupervised Anomaly Detection. IEEE Access 11 (2023)
Malgorzata Gutowska, Suzanne Little, Andrew McCarren
Constructing a meta-learner for unsupervised anomaly detection. CoRR (2023)
Sidra Aleem, Mayug Maniparambil, Suzanne Little, Noel E. O'Connor, Kevin McGuinness
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans. CoRR (2023)
Abhishek Mandal, Suzanne Little, Susan Leavy
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. AEQUITAS@ECAI (2023)
Abhishek Mandal, Susan Leavy, Suzanne Little
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? BMVC (2023)
Abhishek Mandal, Susan Leavy, Suzanne Little
Measuring Bias in Multimodal Models: Multimodal Composite Association Score. BIAS (2023)
Venkatesh G. Munirathnam, Noel E. O'Connor, Suzanne Little
Incorporating Spatio-Temporal Information in Frustum-ConvNet for Improved 3D Object Detection in Instrumented Vehicles. EUVIP (2022)
Andreas Spanias, Vivek Sivaraman Narayanaswamy, Erica Forzani, Greg Raupp, Nadia Kellam, Megan O'Donnell, Wendy Barnard, Jean S. Larson, Noel E. O'Connor, Nicholas Dunne, Stephen Daniels, Suzanne Little
The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. IISA (2022)
Sidra Aleem, Teerath Kumar, Suzanne Little, Malika Bendechache, Rob Brennan, Kevin McGuinness
Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. CoRR (2022)
Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa
UrbanMM'21: 1st International Workshop on Multimedia Computing for Urban Data. ACM Multimedia (2021)
Abhishek Mandal, Susan Leavy, Suzanne Little
Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. Trustworthy AI @ ACM Multimedia (2021)
Dhaval Salwala, Piyush Yadav, Venkatesh G. Munirathnam, Suzanne Little, Noel E. O'Connor, Edward Curry
UrbanAccess: Query Driven Urban Analytics Platform for Detecting Complex Accessibility Event Patterns using Tactile Surfaces. UrbanMM @ ACM Multimedia (2021)
Vitor A. C. Horta, Ilaria Tiddi, Suzanne Little, Alessandra Mileo
Extracting knowledge from Deep Neural Networks through graph analysis. Future Gener. Comput. Syst. 120 (2021)
G. M. Venkatesh, Bianca Pereira, Suzanne Little
Urban Footpath Image Dataset to Assess Pedestrian Mobility. UrbanMM @ ACM Multimedia (2021)
Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan, Suzanne Little, Paul Buitelaar
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes. CoRR (2021)
Jaime B. Fernandez, Suzanne Little, Noel E. O'Connor
Multiple Path Prediction for Traffic Scenes using LSTMs and Mixture Density Models. VEHITS (2020)
Feiyan Hu, G. M. Venkatesh, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little
Utilising Visual Attention Cues for Vehicle Detection and Tracking. ICPR (2020)
Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo
ECIR 2020 Workshops: Assessing the Impact of Going Online. CoRR (2020)
Feiyan Hu, G. M. Venkatesh, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little
Utilising Visual Attention Cues for Vehicle Detection and Tracking. CoRR (2020)
Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo
ECIR 2020 workshops: assessing the impact of going online. SIGIR Forum 54 (1) (2020)
Panagiotis Linardos, Suzanne Little, Kevin McGuinness
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. MediaEval (2019)
Owen Corrigan, Suzanne Little
Fashion Police: Towards Semantic Indexing of Clothing Information in Surveillance Data. MMM (1) (2019)
Jaime B. Fernandez, Suzanne Little, Noel E. O'Connor
A Single-Shot Approach Using an LSTM for Moving Object Path Prediction. IPTA (2019)
Dian Zhang, Brendan Heery, Maria O'Neil, Suzanne Little, Noel E. O'Connor, Fiona Regan
A Low-Cost Smart Sensor Network for Catchment Monitoring. Sensors 19 (10) (2019)
Jaime B. Fernandez, G. M. Venkatesh, Dian Zhang, Suzanne Little, Noel E. O'Connor
Semi-Automatic Multi-Object Video Annotation Based on Tracking, Prediction and Semantic Segmentation. CBMI (2019)
G. M. Venkatesh, Feiyan Hu, Noel E. O'Connor, Alan F. Smeaton, Zhen Yang, Suzanne Little
Saliency Guided 2D-Object Annotation for Instrumented Vehicles. CBMI (2019)
Panagiotis Linardos, Suzanne Little, Kevin McGuinness
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. CoRR (2019)
G. M. Venkatesh, Y. G. Naresh, Suzanne Little, Noel E. O'Connor
A Deep Residual Architecture for Skin Lesion Segmentation. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Y. G. Naresh, Suzanne Little, Noel E. O'Connor
A Residual Encoder-Decoder Network for Semantic Segmentation in Autonomous Driving Scenarios. EUSIPCO (2018)
Camille Ballas, Mark Marsden, Dian Zhang, Noel E. O'Connor, Suzanne Little
Performance of video processing at the edge for crowd-monitoring applications. WF-IoT (2018)
Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. CVPR (2018)
Houssem Chatbri, Keisuke Kameyama, Paul Kwan, Suzanne Little, Noel E. O'Connor
A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval. Multim. Tools Appl. 77 (21) (2018)
Marlon Oliveira, Houssem Chatbri, Suzanne Little, Ylva Ferstl, Noel E. O'Connor, Alistair Sutherland
Irish Sign Language Recognition Using Principal Component Analysis and Convolutional Neural Networks. DICTA (2017)
Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
Fully Convolutional Crowd Counting on Highly Congested Scenes. VISIGRAPP (5: VISAPP) (2017)
Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification. CoRR (2017)
Iveel Jargalsaikhan, Suzanne Little, Noel E. O'Connor
Action localization in video using a graph-based feature representation. AVSS (2017)
Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification. AVSS (2017)
Houssem Chatbri, Marlon Oliveira, Kevin McGuinness, Suzanne Little, Keisuke Kameyama, Paul Kwan, Alistair Sutherland, Noel E. O'Connor
Educational video classification by using a transcript to image transform and supervised learning. IPTA (2017)
Suzanne Little, Dian Zhang, Camille Ballas, Noel E. O'Connor, David Prendergast, Keith Nolan, Brian Quinn, Niall Moran, Mike Myers, Clare Dillon, Tomás Meehan
Understanding packet loss for sound monitoring in a smart stadium IoT testbed. FAILSAFE@SenSys (2017)
Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting. CoRR (2017)
Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon, Bijan Fakhri, Noel E. O'Connor, Mark Marsden, Suzanne Little, Kevin McGuinness, David S. Monaghan
Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. Int. J. Semantic Comput. 11 (2) (2017)
Marlon Oliveira, Houssem Chatbri, Suzanne Little, Noel E. O'Connor, Alistair Sutherland
A comparison between end-to-end approaches and feature extraction based approaches for Sign Language recognition. IVCNZ (2017)
Houssem Chatbri, Kevin McGuinness, Suzanne Little, Jiang Zhou, Keisuke Kameyama, Paul Kwan, Noel E. O'Connor
Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. MultiEdTech@MM (2017)
Aaron Duane, Jiang Zhou, Suzanne Little, Cathal Gurrin, Alan F. Smeaton
An Annotation System for Egocentric Image Media. MMM (2) (2017)
Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
Holistic features for real-time crowd behaviour anomaly detection. ICIP (2016)
Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
Holistic Features For Real-Time Crowd Behaviour Anomaly Detection. CoRR (2016)
Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden
Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM (2016)
Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
Fully Convolutional Crowd Counting On Highly Congested Scenes. CoRR (2016)
Iveel Jargalsaikhan, Suzanne Little, Rémi Trichet, Noel E. O'Connor
Action recognition in video using a spatial-temporal graph-based feature representation. AVSS (2015)
Iveel Jargalsaikhan, Cem Direkoglu, Suzanne Little, Noel E. O'Connor
An Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion. MMM (2) (2014)
Rami Albatal, Suzanne Little
Empirical Exploration of Extreme SVM-RBF Parameter Values for Visual Object Classification. MMM (2) (2014)
Emmanouil Kafetzakis, Christos Xilouris, Michail-Alexandros Kourtis, Marcos Nieto, Iveel Jargalsaikhan, Suzanne Little
The Impact of Video Transcoding Parameters on Event Detection for Surveillance Systems. ISM (2013)
Suzanne Little, Iveel Jargalsaikhan, Kathy M. Clawson, Marcos Nieto, Hao Li, Cem Direkoglu, Noel E. O'Connor, Alan F. Smeaton, Jun Liu, Bryan W. Scotney, Hui Wang, Seán Gaines, Aitor Rodriguez, Pedro J. Sánchez, Ana Martínez Llorens, Karina Villarroel Peniza, Roberto Gimenez, Raúl Santos de La Cámara, Anna Mereu, Celso Prados, Emmanouil Kafetzakis
Interactive surveillance event detection at TRECVid2012. ICMR (2013)
Suzanne Little, Kathy M. Clawson, Anna Mereu, Aitor Rodriguez
Identifying and addressing challenges for search and analysis of disparate surveillance video archives. ICDP (2013)
Suzanne Little, Iveel Jargalsaikhan, Rami Albatal, Cem Direkoglu, Noel E. O'Connor, Alan F. Smeaton, Kathy M. Clawson, Min Jing, Bryan W. Scotney, Hui Wang, Jun Liu, Marcos Nieto, Juan Diego Ortega, Aitor Rodriguez, Iñigo Aramburu, Emmanouil Kafetzakis
SAVASA Project @ TRECVid 2013: Semantic Indexing and Interactive Surveillance Event Detection. TRECVID (2013)
Iveel Jargalsaikhan, Suzanne Little, Cem Direkoglu, Noel E. O'Connor
Action recognition based on sparse motion trajectories. ICIP (2013)
Suzanne Little, Iveel Jargalsaikhan, Kathy M. Clawson, Marcos Nieto, Hao Li, Cem Direkoglu, Noel E. O'Connor, Alan F. Smeaton, Bryan W. Scotney, Hui Wang, Jun Liu
An information retrieval approach to identifying infrequent events in surveillance video. ICMR (2013)
Suzanne Little, Iveel Jargalsaikhan, Cem Direkoglu, Noel E. O'Connor, Alan F. Smeaton, Kathy M. Clawson, Hao Li, Marcos Nieto, Aitor Rodriguez, Pedro J. Sánchez, Karina Villarroel Paniza, Ana Martínez Llorens, Roberto Gimenez, Raúl Santos de La Cámara, Anna Mereu
SAVASA Project @ TRECVID 2012: Interactive Surveillance Event Detection. TRECVID (2012)
Suzanne Little, Alexander Mikroyannidis, Alexandra Okada, Peter Scott
Formal Metadata and Shared Experiences for Discovering Tools to Adapt Open Educational Resources. SITIS (2011)
Suzanne Little, Sara Colantonio, Ovidio Salvetti, Petra Perner
Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. J. Softw. Eng. Appl. 3 (1) (2010)
Cathal Gurrin, Yulan He, Udo Kruschwitz, Suzanne Little, Stefan M. Rüger
ECIR 2010: 32nd european conference on information retrieval research. SIGIR Forum 44 (1) (2010)
Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen
Recent Developments in Information Retrieval. ECIR (2010)
Abdigani Diriye, Srdan Zagorac, Suzanne Little, Stefan M. Rüger
NewsRoom: an information-seeking support system for news videos. Multimedia Information Retrieval (2010)
Suzanne Little, Sara Colatino, Ovidio Salvetti, Petra Perner
Can Prototype-Based Classification be a good Method for Biomedical Applications?. Trans. Mach. Learn. Data Min. 2 (1) (2009)
Srdan Zagorac, Ainhoa Llorente, Suzanne Little, Haiming Liu, Stefan M. Rüger
Automated Content Based Video Retrieval. TRECVID (2009)
Suzanne Little, Stefan M. Rüger
Conservation of effort in feature selection for image annotation. MMSP (2009)
Ainhoa Llorente, Suzanne Little, Stefan M. Rüger
MMIS at ImageCLEF 2009: Non-parametric Density Estimation Algorithms. CLEF (Working Notes) (2009)
Suzanne Little, Ovidio Salvetti, Petra Perner
Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. ECCBR (2008)
Suzanne Little, Ovidio Salvetti, Petra Perner
Evaluating a Case-Based Classifier for Biomedical Applications. CBMS (2008)
Ainhoa Llorente, Srdan Zagorac, Suzanne Little, Rui Hu, Stefan M. Rüger, Anuj Kumar, Suhail Shaik, Xiang Ma
Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval. TRECVID (2008)
Suzanne Little, Ovidio Salvetti, Petra Perner
Semi-automatic Semantic Tagging of 3D Images from Pancreas Cells. MDA (2007)
Suzanne Little, Ovidio Salvetti, Petra Perner
Semi-Automatic Semantic Annotation of Images. LWA (2007)
Suzanne Little, Massimo Martinelli, Ovidio Salvetti, Ugur Güdükbay, Özgür Ulusoy, Gaël de Chalendar, Gregory Grefenstette
Integration of Structural and Semantic Models for Multimedia Metadata Management. CBMI (2007)
Suzanne Little, Ovidio Salvetti, Petra Perner
Semi-Automatic Semantic Annotation of Images. ICDM Workshops (2007)
Patrizia Asirelli, Suzanne Little, Massimo Martinelli, Ovidio Salvetti
MultiMedia Metadata Management: a Proposal for an Infrastructure. SWAP (2006)
Jane Hunter, Suzanne Little
A framework to enable the semantic inferencing and querying of multimedia content. Int. J. Web Eng. Technol. 2 (2/3) (2005)
Laura Hollink, Suzanne Little, Jane Hunter
Evaluating the application of semantic inferencing rules to image annotation. K-CAP (2005)
Suzanne Little, Lynda Hardman
Cuypers Meets Users: Implementing a User Model Architecture for Multimedia Presentation Generation. MMM (2004)
Jane Hunter, Katya Falkovych, Suzanne Little
Next Generation Search Interfaces - Interactive Data Exploration and Hypothesis Formulation. ECDL (2004)
Jane Hunter, John Drennan, Suzanne Little
Realizing the Hydrogen Economy through Semantic Web Technologies. IEEE Intell. Syst. 19 (1) (2004)
Suzanne Little, Jane Hunter
Rules-By-Example - A Novel Approach to Semantic Indexing and Querying of Images. ISWC (2004)
Suzanne Little, Joost Geurts, Jane Hunter
Dynamic Generation of Intelligent Multimedia Presentations through Semantic Inferencing. ECDL (2002)
Jane Hunter, Suzanne Little
Building and Indexing a Distributed Multimedia Presentation Archive Using SMIL. ECDL (2001)