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ORCIDKevin McGuinness
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- affiliation: Dublin City University
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2020 – today
- 2020
[c66]Mark Marsden, Kevin McGuinness
, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor:
Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems. ICME 2020: 1-6- [c65]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. IJCNN 2020: 1-8 - [c64]Sha Yu, Kevin McGuinness, Patricia Moore, David Azcona, Noel E. O'Connor:
A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization. ACM Multimedia 2020: 4512-4514 - [c63]Yasser Abdelaziz Dahou Djilali, Mohamed Sayah, Kevin McGuinness, Noel E. O'Connor:
3DSAL: An Efficient 3D-CNN Architecture for Video Saliency Prediction. VISIGRAPP (4: VISAPP) 2020: 27-36 - [i37]Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor:
Investigating Class-level Difficulty Factors in Multi-label Classification Problems. CoRR abs/2005.00430 (2020) - [i36]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. CoRR abs/2007.11866 (2020) - [i35]Feiyan Hu, Kevin McGuinness:
FastSal: a Computationally Efficient Network for Visual Saliency Prediction. CoRR abs/2008.11151 (2020) - [i34]David Azcona, Kevin McGuinness, Alan F. Smeaton:
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. CoRR abs/2010.01947 (2020) - [i33]Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor:
How important are faces for person re-identification? CoRR abs/2010.06307 (2020) - [i32]Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra:
Unsupervised Contrastive Learning of Sound Event Representations. CoRR abs/2011.07616 (2020) - [i31]Yasser Abdelaziz Dahou Djilali, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor:
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos. CoRR abs/2011.10600 (2020) - [i30]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness to Label Noise. CoRR abs/2012.04462 (2020) - [i29]Feiyan Hu, Eva Mohedano, Noel E. O'Connor, Kevin McGuinness:
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates. CoRR abs/2012.10283 (2020)
2010 – 2019
- 2019
- [j8]Julia Dietlmeier, Kevin McGuinness, Sandra Rugonyi, Teresa Wilson, Alfred L. Nuttall, Noel E. O'Connor:
Few-shot hypercolumn-based mitochondria segmentation in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data. Pattern Recognit. Lett. 128: 521-528 (2019) - [c62]Panagiotis Linardos, Eva Mohedano, Juan José Nieto, Noel E. O'Connor, Xavier Giró-i-Nieto, Kevin McGuinness:
Simple vs complex temporal recurrences for video saliency prediction. BMVC 2019: 182 - [c61]Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. CBMI 2019: 1-6 - [c60]Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto:
WAV2PIX: Speech-conditioned Face Generation using Generative Adversarial Networks. CVPR Workshops 2019: 21-24 - [c59]Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto:
Wav2Pix: Speech-conditioned Face Generation Using Generative Adversarial Networks. ICASSP 2019: 8633-8637 - [c58]Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati:
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval. ICIAP (2) 2019: 537-548 - [c57]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised Label Noise Modeling and Loss Correction. ICML 2019: 312-321 - [c56]Panagiotis Linardos, Suzanne Little, Kevin McGuinness:
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. MediaEval 2019 - [c55]Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Assessing Knee OA Severity with CNN attention-based end-to-end architectures. MIDL 2019: 197-214 - [c54]Alan F. Smeaton, Yvette Graham, Kevin McGuinness, Noel E. O'Connor, Seán Quinn, Eric Arazo Sanchez:
Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions. MMM (1) 2019: 178-190 - [c53]Luis Lebron, Kevin McGuinness, Noel E. O'Connor:
INSIGHT@DCU TRECVID 2019: Video to Text. TRECVID 2019 - [e1]Cathal Gurrin, Björn Þór Jónsson, Renaud Péteri, Stevan Rudinac, Stéphane Marchand-Maillet, Georges Quénot, Kevin McGuinness, Gylfi Þór Guðmundsson, Suzanne Little, Marie Katsurai, Graham Healy:
2019 International Conference on Content-Based Multimedia Indexing, CBMI 2019, Dublin, Ireland, September 4-6, 2019. IEEE 2019, ISBN 978-1-7281-4673-7 [contents] - [i28]Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto:
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks. CoRR abs/1903.10195 (2019) - [i27]Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati:
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval. CoRR abs/1904.08668 (2019) - [i26]Eric Arazo Sanchez, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised label noise modeling and loss correction. CoRR abs/1904.11238 (2019) - [i25]Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. CoRR abs/1904.11256 (2019) - [i24]Panagiotis Linardos, Eva Mohedano, Juan José Nieto, Noel E. O'Connor, Xavier Giró-i-Nieto, Kevin McGuinness:
Simple vs complex temporal recurrences for video saliency prediction.. CoRR abs/1907.01869 (2019) - [i23]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. CoRR abs/1908.02983 (2019) - [i22]Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor:
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity. CoRR abs/1908.08840 (2019) - [i21]Marc Górriz, Joseph Antony, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Assessing Knee OA Severity with CNN attention-based end-to-end architectures. CoRR abs/1908.08856 (2019) - [i20]Jaynal Abedin, Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor, Dietrich Rebholz-Schuhmann, John Newell:
Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images. CoRR abs/1908.08873 (2019) - [i19]Panagiotis Linardos, Suzanne Little, Kevin McGuinness:
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. CoRR abs/1910.11603 (2019) - [i18]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. CoRR abs/1912.08741 (2019) - 2018
- [j7]Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
Scanpath and saliency prediction on 360 degree images. Signal Process. Image Commun. 69: 8-14 (2018) - [c52]Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Saliency Weighted Convolutional Features for Instance Search. CBMI 2018: 1-6 - [c51]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: 8070-8079 - [c50]Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. ECCV Workshops (5) 2018: 406-422 - [c49]Alan F. Smeaton, Owen Corrigan, Paul Dockree, Cathal Gurrin, Graham Healy, Feiyan Hu, Kevin McGuinness, Eva Mohedano, Tomás Ward:
Dublin's Participation in the Predicting Media Memorability Task at MediaEval 2018. MediaEval 2018 - [c48]Paula Gómez Duran, Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. ACM Multimedia 2018: 1256-1257 - [c47]Jiang Zhou, Kevin McGuinness, Noel E. O'Connor:
A Text Recognition and Retrieval System for e-Business Image Management. MMM (2) 2018: 23-35 - [i17]Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. CoRR abs/1809.00567 (2018) - 2017
- [j6]Sethuraman Panchanathan, Shayok Chakraborty, Troy L. 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): 137-170 (2017) - [j5]Rafal Kapela, Kevin McGuinness, Noel E. O'Connor:
Real-time field sports scene classification using colour and frequency space decompositions. J. Real Time Image Process. 13(4): 725-737 (2017) - [c46]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: 1-7 - [c45]Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
SaltiNet: Scan-Path Prediction on 360 Degree Images Using Saliency Volumes. ICCV Workshops 2017: 2331-2338 - [c44]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: 1-6 - [c43]Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor:
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks. MLDM 2017: 376-390 - [c42]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: 21-26 - [c41]Haithem Afli, Feiyan Hu, Jinhua Du, Daniel Cosgrove, Kevin McGuinness, Noel E. O'Connor, Eric Arazo Sanchez, Jiang Zhou, Alan F. Smeaton:
Dublin City University Participation in the VTT Track at TRECVid 2017. TRECVID 2017 - [c40]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Fully Convolutional Crowd Counting on Highly Congested Scenes. VISIGRAPP (5: VISAPP) 2017: 27-33 - [i16]Junting Pan, Cristian Canton-Ferrer, Kevin McGuinness, Noel E. O'Connor, Jordi Torres, Elisa Sayrol, Xavier Giró-i-Nieto:
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. CoRR abs/1701.01081 (2017) - [i15]Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor:
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks. CoRR abs/1703.09856 (2017) - [i14]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 abs/1705.10698 (2017) - [i13]Marc Assens, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. CoRR abs/1707.03123 (2017) - [i12]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 abs/1711.05586 (2017) - [i11]Eva Mohedano, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor:
Saliency Weighted Convolutional Features for Instance Search. CoRR abs/1711.10795 (2017) - 2016
- [c39]Junting Pan, Elisa Sayrol, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
Shallow and Deep Convolutional Networks for Saliency Prediction. CVPR 2016: 598-606 - [c38]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Holistic features for real-time crowd behaviour anomaly detection. ICIP 2016: 918-922 - [c37]R. Hebbalaguppe, Kevin McGuinness, Jogile Kuklyte, Rami Albatal, Cem Direkoglu, Noel E. O'Connor:
Reduction of false alarms triggered by spiders/cobwebs in surveillance camera networks. ICIP 2016: 943-947 - [c36]Joseph Antony, Kevin McGuinness, Noel E. O'Connor, Kieran Moran:
Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks. ICPR 2016: 1195-1200 - [c35]Sethuraman Panchanathan, Shayok Chakraborty, Troy L. McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden:
Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM 2016: 152-157 - [c34]Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Amaia Salvador, Ferran Marqués, Xavier Giró-i-Nieto:
Bags of Local Convolutional Features for Scalable Instance Search. ICMR 2016: 327-331 - [c33]Alan F. Smeaton, Kevin McGuinness, Cathal Gurrin, Jiang Zhou, Noel E. O'Connor, Peng Wang, Brian Davis, Lucas Azevedo, André Freitas, Louise Signal, Moira Smith, James Stanley, Michelle Barr, Tim Chambers, Cliona Ní Mhurchu:
Semantic Indexing of Wearable Camera Images: Kids'Cam Concepts. iV&L-MM@MM 2016: 27-34 - [c32]Cristian Reyes, Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto:
Where is my Phone?: Personal Object Retrieval from Egocentric Images. LTA@MM 2016: 55-62 - [c31]Tengqi Ye, Tianchun Wang, Kevin McGuinness, Yu Guo, Cathal Gurrin:
Learning Multiple Views with Orthogonal Denoising Autoencoders. MMM (1) 2016: 313-324 - [c30]Mark Marsden, Eva Mohedano, Kevin McGuinness, Andrea Calafell, Xavier Giró-i-Nieto, Noel E. O'Connor, Jiang Zhou, Lucas Azevedo, Tobias Daudert, Brian Davis, Manuela Hürlimann, Haithem Afli, Jinhua Du, Debasis Ganguly, Wei Li, Andy Way, Alan F. Smeaton:
Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. TRECVID 2016 - [i10]Junting Pan, Kevin McGuinness, Elisa Sayrol, Noel E. O'Connor, Xavier Giró-i-Nieto:
Shallow and Deep Convolutional Networks for Saliency Prediction. CoRR abs/1603.00845 (2016) - [i9]Eva Mohedano, Amaia Salvador, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor, Xavier Giró-i-Nieto:
Bags of Local Convolutional Features for Scalable Instance Search. CoRR abs/1604.04653 (2016) - [i8]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Holistic Features For Real-Time Crowd Behaviour Anomaly Detection. CoRR abs/1606.05310 (2016) - [i7]Cristian Reyes, Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto:
Where is my Phone ? Personal Object Retrieval from Egocentric Images. CoRR abs/1608.08139 (2016) - [i6]Joseph Antony, Kevin McGuinness, Noel E. O'Connor, Kieran Moran:
Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks. CoRR abs/1609.02469 (2016) - [i5]Joseph Antony, Kevin McGuinness, Neil Welch, Joe Coyle, Andy Franklyn-Miller, Noel E. O'Connor, Kieran Moran:
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI. CoRR abs/1609.02744 (2016) - [i4]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Fully Convolutional Crowd Counting On Highly Congested Scenes. CoRR abs/1612.00220 (2016) - 2015
- [j4]Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton:
Improving object segmentation by using EEG signals and rapid serial visual presentation. Multim. Tools Appl. 74(22): 10137-10159 (2015) - [c29]Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor:
Improving spatial codification in semantic segmentation. ICIP 2015: 3605-3609 - [c28]Eva Mohedano, Kevin McGuinness, Graham Healy, Noel E. O'Connor, Alan F. Smeaton, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto:
Exploring EEG for Object Detection and Retrieval. ICMR 2015: 591-594 - [c27]Kevin McGuinness, Eva Mohedano, Amaia Salvador, Zhenxing Zhang, Mark Marsden, Peng Wang, Iveel Jargalsaikhan, Joseph Antony, Xavier Giró-i-Nieto, Shin'ichi Satoh, Noel E. O'Connor, Alan F. Smeaton:
Insight DCU at TRECVid 2015. TRECVID 2015 - [i3]Eva Mohedano, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto, Graham Healy, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton:
Exploring EEG for Object Detection and Retrieval. CoRR abs/1504.02356 (2015) - [i2]Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor:
Improving Spatial Codification in Semantic Segmentation. CoRR abs/1505.07409 (2015) - 2014
- [j3]Klaus Schoeffmann, David Ahlström, Werner Bailer, Claudiu Cobârzan, Frank Hopfgartner, Kevin McGuinness, Cathal Gurrin, Christian Frisson, Duy-Dinh Le, Manfred del Fabro, Hongliang Bai, Wolfgang Weiss:
The Video Browser Showdown: a live evaluation of interactive video search tools. Int. J. Multim. Inf. Retr. 3(2): 113-127 (2014) - [c26]Kevin McGuinness, Feiyan Hu, Rami Albatal, Alan F. Smeaton:
Formulating Queries for Collecting Training Examples in Visual Concept Classification. VL@COLING 2014: 106-108 - [c25]Peggy van der Kreeft, Kay Macquarrie, Max Kemman, Martijn Kleppe, Kevin McGuinness:
AXES-RESEARCH - A user-oriented tool for enhanced multimodal search and retrieval in audiovisual libraries. CBMI 2014: 1-4 - [c24]Joseph Antony, Kevin McGuinness, Neil Welch, Joe Coyle, Andy Franklyn-Miller, Noel E. O'Connor, Kieran Moran:
Fat quantification in MRI-defined lumbar muscles. IPTA 2014: 327-332 - [c23]Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton:
Object Segmentation in Images using EEG Signals. ACM Multimedia 2014: 417-426 - [c22]Robin Aly, Dolf Trieschnigg, Kevin McGuinness, Noel E. O'Connor, Franciska de Jong:
Average Precision: Good Guide or False Friend to Multimedia Search Effectiveness? MMM (2) 2014: 239-250 - [c21]David Scott, Zhenxing Zhang, Rami Albatal, Kevin McGuinness, Esra Acar, Frank Hopfgartner, Cathal Gurrin, Noel E. O'Connor, Alan F. Smeaton:
Audio-Visual Classification Video Browser. MMM (2) 2014: 398-401 - [c20]Shu Chen, Kevin McGuinness, Robin Aly, Noel E. O'Connor, Tinne Tuytelaars:
AXES @ TRECVID 2014: Instance Search. TRECVID 2014 - [c19]Kevin McGuinness, Eva Mohedano, Zhenxing Zhang, Feiyan Hu, Rami Albatal, Cathal Gurrin, Noel E. O'Connor, Alan F. Smeaton, Amaia Salvador, Xavier Giró-i-Nieto, Carles Ventura:
Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. TRECVID 2014 - [i1]Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giró-i-Nieto, Noel E. O'Connor, Alan F. Smeaton:
Object Segmentation in Images using EEG Signals. CoRR abs/1408.4363 (2014) - 2013
- [c18]Kevin McGuinness, Noel E. O'Connor:
Improved graph cut segmentation by learning a contrast model on the fly. ICIP 2013: 2723-2727 - [c17]Kevin McGuinness, Noel E. O'Connor, Robin Aly, Franciska de Jong, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Matthijs Douze, Cordelia Schmid:
The AXES PRO video search system. ICMR 2013: 307-308 - [c16]Dian Zhang, Edel O'Connor, Timothy Sullivan, Kevin McGuinness, Fiona Regan, Noel E. O'Connor:
Smart multi-modal marine monitoring via visual analysis and data fusion. MAED@ACM Multimedia 2013: 29-34 - [c15]David Scott, Jinlin Guo, Cathal Gurrin, Frank Hopfgartner, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton, Yang Yang, Zhenxing Zhang:
DCU at MMM 2013 Video Browser Showdown. MMM (2) 2013: 541-543 - [c14]Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, Zaïd Harchaoui, Kevin McGuinness, Noel E. O'Connor, Dan Oneata, Omkar M. Parkhi, Danila Potapov, Jérôme Revaud, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman:
The AXES submissions at TRECVID 2013. TRECVID 2013 - [c13]Jogile Kuklyte, Kevin McGuinness, R. Hebbalaguppe, Cem Direkoglu, Leonardo Gualano, Noel E. O'Connor:
Identification of moving objects in poor quality surveillance data. WIAMIS 2013: 1-4 - 2012
- [c12]Dian Zhang, Edel O'Connor, Kevin McGuinness, Noel Edward O'Connor, Fiona Regan, Alan F. Smeaton:
A visual sensing platform for creating a smarter multi-modal marine monitoring network. MAED@ACM Multimedia 2012: 53-56 - [c11]Kevin McGuinness, Kealan McCusker, Neil O'Hare, Noel E. O'Connor:
Efficient Storage and Decoding of SURF Feature Points. MMM 2012: 440-451 - [c10]Robin Aly, Kevin McGuinness, Shu Chen, Noel E. O'Connor, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Basura Fernando, Tinne Tuytelaars, Dan Oneata, Matthijs Douze, Jérôme Revaud, Jochen Schwenninger, Danila Potapov, Heng Wang, Zaïd Harchaoui, Jakob Verbeek, Cordelia Schmid:
AXES at TRECVID 2012: KIS, INS, and MED. TRECVID 2012 - [c9]Shu Chen, Kevin McGuinness, Robin Aly, Noel E. O'Connor, Franciska de Jong:
The AXES-lite video search engine. WIAMIS 2012: 1-4 - 2011
- [j2]Kevin McGuinness, Noel E. O'Connor:
Toward automated evaluation of interactive segmentation. Comput. Vis. Image Underst. 115(6): 868-884 (2011) - [c8]Kevin McGuinness, Robin Aly, Shu Chen, Mathieu Frappier, Martijn Kleppe, Hyowon Lee, Roeland Ordelman, Relja Arandjelovic, Mayank Juneja, C. V. Jawahar, Andrea Vedaldi, Jochen Schwenninger, Sebastian Tschöpel, Daniel Schneider, Noel E. O'Connor, Andrew Zisserman, Alan F. Smeaton, Henri Beunders:
AXES at TRECVID 2011. TRECVID 2011 - 2010
- [j1]Kevin McGuinness, Noel E. O'Connor:
A comparative evaluation of interactive segmentation algorithms. Pattern Recognit. 43(2): 434-444 (2010) - [c7]Colum Foley, Jinlin Guo, David Scott, Peter Wilkins, Cathal Gurrin, Alan F. Smeaton, Paul Ferguson, Kealan McCusker, Emma Sesmero Diaz, Kevin McGuinness, Noel E. O'Connor, Xavier Giró-i-Nieto, Ferran Marqués:
TRECVID 2010 Experiments at Dublin City University. TRECVID 2010
2000 – 2009
- 2008
- [c6]Iván González-Díaz, Kevin McGuinness, Tomasz Adamek, Noel E. O'Connor, Fernando Díaz-de-María:
Incorporating spatio-temporal mid-level features in a region segmentation algorithm for video sequences. ICIP 2008: 1-4 - [c5]Peter Wilkins, Daragh Byrne, Gareth J. F. Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O'Connor, Neil O'Hare, Alan F. Smeaton, Tomasz Adamek, Raphaël Troncy, Alia Amin, Rachid Benmokhtar, Emilie Dumont, Benoit Huet, Bernard Mérialdo, Giorgos Tolias, Evaggelos Spyrou, Yannis Avrithis, Georgios Th. Papadopoulos, Vasileios Mezaris, Ioannis Kompatsiaris, Roland Mörzinger, Peter Schallauer, Werner Bailer, Krishna Chandramouli, Ebroul Izquierdo, Lutz Goldmann, Martin Haller, Amjad Samour, Andreas Cobet, Thomas Sikora, Pavel Praks, David Hannah, Martin Halvey, Frank Hopfgartner, Robert Villa, P. Punitha, Anuj Goyal, Joemon M. Jose:
K-Space at TRECVid 2008. TRECVID 2008 - 2007
- [c4]Kevin McGuinness, Olivier Gillet, Noel E. O'Connor, Gaël Richard:
Visual analysis for drum sequence transcription. EUSIPCO 2007: 312-316 - [c3]Peter Wilkins, Tomasz Adamek, Daragh Byrne, Gareth J. F. Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton, Alia Amin, Zeljko Obrenovic, Rachid Benmokhtar, Eric Galmar, Benoit Huet, Slim Essid, Rémi Landais, Félicien Vallet, Georgios Th. Papadopoulos, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Evaggelos Spyrou, Yannis Avrithis, Roland Mörzinger, Peter Schallauer, Werner Bailer, Tomas Piatrik, Krishna Chandramouli, Ebroul Izquierdo, Martin Haller, Lutz Goldmann, Amjad Samour, Andreas Cobet, Thomas Sikora, Pavel Praks:
K-Space at TRECVID 2007. TRECVID 2007 - 2006
- [c2]Kevin McGuinness, Gordon Keenan, Tomasz Adamek, Noel E. O'Connor:
A Framework and User Interface for Automatic Region Based Segmentation Algorithms. SAMT (Posters and Demos) 2006 - [c1]Peter Wilkins, Tomasz Adamek, Paul Ferguson, Mark Hughes, Gareth J. F. Jones, Gordon Keenan, Kevin McGuinness, Jovanka Malobabic, Noel E. O'Connor, David A. Sadlier, Alan F. Smeaton, Rachid Benmokhtar, Emilie Dumont, Benoit Huet, Bernard Mérialdo, Evagellos Spyrou, George Koumoulos, Yannis Avrithis, Roland Mörzinger, Peter Schallauer, Werner Bailer, Qianni Zhang, Tomas Piatrik, Krishna Chandramouli, Ebroul Izquierdo, Lutz Goldmann, Martin Haller, Thomas Sikora, Pavel Praks, Jana Urban, Xavier Hilaire, Joemon M. Jose:
K-Space at TRECvid 2006. TRECVID 2006