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ORCIDNoel E. O'Connor
Noel Edward O'Connor
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- affiliation: Dublin City University, Ireland
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2020 – today
- 2023
[j63]Enric Moreu
, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. Expert Syst. J. Knowl. Eng. 40(6) (2023)- [j62]Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond:
Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. Expert Syst. J. Knowl. Eng. 40(6) (2023) - [c332]Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor:
Hierarchical Reinforcement Learning for In-hand Robotic Manipulation Using Davenport Chained Rotations. ICARA 2023: 160-164 - [c331]Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. IJCNN 2023: 1-9 - [c330]Enric Moreu, Alex Martinelli, Martina Naughton, Philip Kelly, Noel E. O'Connor:
Fashion CUT: Unsupervised Domain Adaptation for Visual Pattern Classification in Clothes Using Synthetic Data and Pseudo-labels. SCIA (1) 2023: 314-324 - [c329]Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness:
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. WACV 2023: 118-127 - [c328]Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor:
Motion Aware Self-Supervision for Generic Event Boundary Detection. WACV 2023: 2727-2738 - [i74]Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor:
Unifying Synergies between Self-supervised Learning and Dynamic Computation. CoRR abs/2301.09164 (2023) - [i73]Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Stephen J. Redmond:
Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning. CoRR abs/2301.11734 (2023) - [i72]Enric Moreu, Alex Martinelli, Martina Naughton, Philip Kelly, Noel E. O'Connor:
Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels. CoRR abs/2305.05580 (2023) - [i71]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 abs/2305.10115 (2023) - [i70]Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. CoRR abs/2307.11253 (2023) - [i69]Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor:
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. CoRR abs/2307.11661 (2023) - [i68]Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. CoRR abs/2307.12033 (2023) - [i67]Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor:
An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images. CoRR abs/2308.00491 (2023) - 2022
- [j61]Susanne Boll, Jeannie S. Lee, Jochen Meyer, Nitish Nag, Noel E. O'Connor:
Editorial Special Issue. IEEE Multim. 29(1): 5-6 (2022) - [j60]Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Amy Hall, Mingming Liu:
Real-Time Anomaly Detection for an ADMM-Based Optimal Transmission Frequency Management System for IoT Devices. Sensors 22(16): 5945 (2022) - [j59]Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor:
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems. IEEE Trans. Intell. Transp. Syst. 23(6): 5887-5893 (2022) - [c327]Anderson Augusto Simiscuka, Mohammed Amine Togou, Rohit Verma, Mikel Zorrilla, Noel E. O'Connor, Gabriel-Miro Muntean:
An Evaluation of 360° Video and Audio Quality in an Artistic-Oriented Platform. BMSB 2022: 1-5 - [c326]Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor:
BaseTransformers: Attention over base data-points for One Shot Learning. BMVC 2022: 482 - [c325]Jiang Zhou, Kevin McGuinness, Joseph Antony, Noel E. O'Connor:
A Fine Grained Quality Assessment of Video Anomaly Detection. CBMI 2022: 29-35 - [c324]Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness:
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CVPR Workshops 2022: 1635-1645 - [c323]Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image Datasets. ECCV (31) 2022: 402-419 - [c322]Marc Górriz Blanch, Noel E. O'Connor, Marta Mrak:
Scene-Adaptive Temporal Stabilisation for Video Colourisation Using Deep Video Priors. ECCV Workshops (4) 2022: 644-659 - [c321]Shams Ur Rahman, Noel E. O'Connor, Joe Lemley, Graham Healy:
Using Pre-stimulus EEG to Predict Driver Reaction Time To Road Events. EMBC 2022: 4036-4039 - [c320]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: 1-6 - [c319]Luis Lebron, Yvette Graham, Noel E. O'Connor, Kevin McGuinness:
Evaluation of Automatically Generated Video Captions Using Vision and Language Models. ICIP 2022: 2416-2420 - [c318]Andreas Spanias, Vivek Sivaraman Narayanaswamy, Erica Forzani, Greg Raupp, Nadia N. 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: 1-6 - [c317]Francisco Roldan Sanchez, Stephen J. Redmond, Kevin McGuinness, Noel E. O'Connor:
Towards advanced robotic manipulation. IRC 2022: 302-305 - [c316]Thiago Braga Rodrigues, Ciarán Ó Catháin, Noel E. O'Connor, Niall Murray:
A QoE Evaluation of Haptic and Augmented Reality Gait Applications via Time and Frequency-Domain Electrodermal Activity (EDA) Analysis. ISMAR Adjunct 2022: 297-302 - [c315]Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor:
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. LREC 2022: 1566-1575 - [c314]Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts. STACOM@MICCAI 2022: 392-398 - [c313]Sen Yan, Mingming Liu, Noel E. O'Connor:
Parking Behaviour Analysis of Shared E-Bike Users Based on a Real-World Dataset - A Case Study in Dublin, Ireland. VTC Spring 2022: 1-6 - [c312]Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness:
Improving Person Re-Identification with Temporal Constraints. WACV (Workshops) 2022: 540-549 - [c311]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. WACV 2022: 2393-2402 - [i66]Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor:
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. CoRR abs/2201.10243 (2022) - [i65]Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor:
Domain Randomization for Object Counting. CoRR abs/2202.08670 (2022) - [i64]Enric Moreu, Kevin McGuinness, Noel E. O'Connor:
Synthetic data for unsupervised polyp segmentation. CoRR abs/2202.08680 (2022) - [i63]Paul Albert, Mohamed Saadeldin, Badri Narayanan, Jaime B. Fernandez, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness:
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CoRR abs/2204.08271 (2022) - [i62]Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling H. O'Connor, Noel E. O'Connor, Kevin McGuinness:
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. CoRR abs/2204.09343 (2022) - [i61]Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond:
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks. CoRR abs/2205.09683 (2022) - [i60]Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets. CoRR abs/2207.01573 (2022) - [i59]Tarun Krishna, Ayush K. Rai, Yasser Abdelaziz Dahou Djilali, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor:
Dynamic Channel Selection in Self-Supervised Learning. CoRR abs/2207.12065 (2022) - [i58]Francisco Roldan Sanchez, Stephen James Redmond, Kevin McGuinness, Noel E. O'Connor:
Towards advanced robotic manipulation. CoRR abs/2209.08903 (2022) - [i57]Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness:
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts. CoRR abs/2209.09714 (2022) - [i56]Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor:
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations. CoRR abs/2210.00795 (2022) - [i55]Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor:
BaseTransformers: Attention over base data-points for One Shot Learning. CoRR abs/2210.02476 (2022) - [i54]Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness:
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. CoRR abs/2210.04578 (2022) - [i53]Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor:
Motion Aware Self-Supervision for Generic Event Boundary Detection. CoRR abs/2210.05574 (2022) - 2021
- [j58]Marc Górriz Blanch, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding. IEEE J. Sel. Top. Signal Process. 15(2): 366-377 (2021) - [j57]Raouf Hamzaoui, Noel E. O'Connor, Maria Trocan:
Guest Editorial Special Section on IEEE ICME 2020. IEEE Open J. Circuits Syst. 2: 323-324 (2021) - [j56]Szymon Sobczak, Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka, Dariusz Pazderski, Noel E. O'Connor:
Restricted Boltzmann machine as an aggregation technique for binary descriptors. Vis. Comput. 37(3): 423-432 (2021) - [c310]Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor:
Domain Randomization for Object Counting. AICS 2021: 25-35 - [c309]Enric Moreu, Kevin McGuinness, Noel E. O'Connor:
Synthetic Data for Unsupervised Polyp Segmentation. AICS 2021: 96-105 - [c308]Robert McCarthy, Francsico Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond:
Solving the Real Robot Challenge Using Deep Reinforcement Learning. AICS 2021: 165-175 - [c307]Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Noel E. O'Connor, Brian Mac Namee:
Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. AICS 2021: 176-187 - [c306]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? BMVC 2021: 335 - [c305]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness To Label Noise. CVPR 2021: 6606-6615 - [c304]Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra:
Unsupervised Contrastive Learning of Sound Event Representations. ICASSP 2021: 371-375 - [c303]Yasser Abdelaziz Dahou Djilali, Tarun Krishna, Kevin McGuinness, Noel E. O'Connor:
Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning. ICCV 2021: 15394-15404 - [c302]Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness:
Semi-supervised dry herbage mass estimation using automatic data and synthetic images. ICCVW 2021: 1284-1293 - [c301]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Simple baselines can fool 360° saliency metrics. ICCVW 2021: 3743-3749 - [c300]Marc Górriz Blanch, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Open-Source: Attention-Based Neural Networks For Chroma Intra Prediction In Video Coding. ICME Workshops 2021: 1-2 - [c299]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. IJCNN 2021: 1-8 - [c298]Hongde Wu, Zhengyong Chen, Noel E. O'Connor, Mingming Liu:
Optimal Distributed Bandwidth Allocation in NB-IoT Networks: Poster Abstract. IoTDI 2021: 259-260 - [c297]Zhengyong Chen, Hongde Wu, Noel E. O'Connor, Mingming Liu:
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes. ITSC 2021: 1299-1305 - [c296]Tarun Krishna, Kevin McGuinness, Noel E. O'Connor:
Evaluating Contrastive Models for Instance-based Image Retrieval. ICMR 2021: 471-475 - [c295]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: 19-21 - [c294]Marc Górriz Blanch, Issa Khalifeh, Noel E. O'Connor, Marta Mrak:
Attention-based Stylisation for Exemplar Image Colourisation. MMSP 2021: 1-6 - [c293]Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf:
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) 2021: 190-204 - [c292]Darren Ramsook, Anil C. Kokaram, Noel E. O'Connor, Neil Birkbeck, Yeping Su, Balu Adsumilli:
A differentiable estimator of VMAF for Video. PCS 2021: 1-5 - [c291]Noel E. O'Connor:
From Research to Practice and Back Again: The Role and Benefits of Testbeds for Computer Vision. SIGMAP 2021: 9 - [c290]Feiyan Hu, Eva Mohedano, Noel E. O'Connor, Kevin McGuinness:
Temporal Bilinear Encoding Network of Audio-visual Features at Low Sampling Rates. VISIGRAPP (5: VISAPP) 2021: 637-644 - [c289]Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor:
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm. VTC Spring 2021: 1-6 - [c288]Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu:
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence. WF-IoT 2021: 217-222 - [i52]Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor:
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems. CoRR abs/2101.06451 (2021) - [i51]Marc Górriz, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding. CoRR abs/2102.04993 (2021) - [i50]Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor:
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm. CoRR abs/2103.00548 (2021) - [i49]Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu:
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence. CoRR abs/2104.07614 (2021) - [i48]Zhengyong Chen, Hongde Wu, Noel E. O'Connor, Mingming Liu:
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes. CoRR abs/2104.10644 (2021) - [i47]Tarun Krishna, Kevin McGuinness, Noel E. O'Connor:
Evaluating Contrastive Models for Instance-based Image Retrieval. CoRR abs/2104.14939 (2021) - [i46]Marc Górriz Blanch, Issa Khalifeh, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Attention-based Stylisation for Exemplar Image Colourisation. CoRR abs/2105.01705 (2021) - [i45]Hongde Wu, Zhengyong Chen, Noel E. O'Connor, Mingming Liu:
Optimal Distributed Bandwidth Allocation in NB-IoT Networks. CoRR abs/2105.09460 (2021) - [i44]Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor:
Discerning Generic Event Boundaries in Long-Form Wild Videos. CoRR abs/2106.10090 (2021) - [i43]Robert McCarthy, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond:
Real Robot Challenge using Deep Reinforcement Learning. CoRR abs/2109.15233 (2021) - [i42]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. CoRR abs/2110.13699 (2021) - [i41]Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness:
Semi-supervised dry herbage mass estimation using automatic data and synthetic images. CoRR abs/2110.13719 (2021) - [i40]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? CoRR abs/2110.14283 (2021) - [i39]Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness:
Improving Person Re-Identification with Temporal Constraints. CoRR abs/2111.09056 (2021) - 2020
- [j55]Thiago Braga Rodrigues, Débora Pereira Salgado, Ciarán Ó Catháin, Noel E. O'Connor, Niall Murray:
Human gait assessment using a 3D marker-less multimodal motion capture system. Multim. Tools Appl. 79(3-4): 2629-2651 (2020) - [j54]Ghanashyama Prabhu, Noel E. O'Connor, Kieran Moran:
Recognition and Repetition Counting for Local Muscular Endurance Exercises in Exercise-Based Rehabilitation: A Comparative Study Using Artificial Intelligence Models. Sensors 20(17): 4791 (2020) - [c287]Yasser Abdelaziz Dahou Djilali, Mohamed Sayah, Kevin McGuinness, Noel E. O'Connor:
On the Use of 3D CNNs for Video Saliency Modeling. VISIGRAPP (Revised Selected Papers) 2020: 453-476 - [c286]Marc Górriz Blanch, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Chroma Intra Prediction With Attention-Based CNN Architectures. ICIP 2020: 783-787 - [c285]Luka Murn, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Interpreting CNN For Low Complexity Learned Sub-Pixel Motion Compensation In Video Coding. ICIP 2020: 798-802 - [c284]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 - [c283]Yasser Dahou, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor:
ATSal: An Attention Based Architecture for Saliency Prediction in 360$^\circ $ Videos. ICPR Workshops (3) 2020: 305-320 - [c282]Feiyan Hu, Venkatesh G M, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little:
Utilising Visual Attention Cues for Vehicle Detection and Tracking. ICPR 2020: 5535-5542 - [c281]Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O'Connor:
How important are faces for person re-identification? ICPR 2020: 6912-6919 - [c280]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. ICPR 2020: 7020-7027 - [c279]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 - [c278]Venkatakrishnan Parthasarathy, Anderson Augusto Simiscuka, Noel E. O'Connor, Gabriel-Miro Muntean:
Performance Evaluation of a Multi-User Virtual Reality Platform. IWCMC 2020: 934-939 - [c277]Phuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, Noel E. O'Connor:
Investigating Memorability of Dynamic Media. MediaEval 2020 - [c276]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 - [c275]Ghanashyama Prabhu, Noel E. O'Connor, Kieran Moran:
A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor. MobiHealth 2020: 104-115 - [c274]Bharathi Raja Chakravarthi, Navaneethan Rajasekaran, Mihael Arcan, Kevin McGuinness, Noel E. O'Connor, John P. McCrae:
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages. VarDial@COLING 2020: 57-69 - [c273]Jaime B. Fernandez, Suzanne Little, Noel E. O'Connor:
Multiple Path Prediction for Traffic Scenes using LSTMs and Mixture Density Models. VEHITS 2020: 481-488 - [c272]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 - [e11]Cathal Gurrin, Björn Þór Jónsson, Noriko Kando, Klaus Schöffmann, Yi-Ping Phoebe Chen, Noel E. O'Connor:
Proceedings of the 2020 on International Conference on Multimedia Retrieval, ICMR 2020, Dublin, Ireland, June 8-11, 2020. ACM 2020, ISBN 978-1-4503-7087-5 [contents] - [i38]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) - [i37]Luka Murn, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding. CoRR abs/2006.06392 (2020) - [i36]Marc Górriz, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Chroma Intra Prediction with attention-based CNN architectures. CoRR abs/2006.15349 (2020) - [i35]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) - [i34]