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Noel E. O'Connor
Noel Edward O'Connor
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- affiliation: Dublin City University, Ireland
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2020 – today
- 2024
- [j67]Khadija Iddrisu
, Waseem Shariff
, Peter Corcoran
, Noel E. O'Connor
, Joe Lemley
, Suzanne Little
:
Event Camera-Based Eye Motion Analysis: A Survey. IEEE Access 12: 136783-136804 (2024) - [j66]Qiang Wang
, Robert McCarthy
, David Cordova Bulens
, Francisco Roldan Sanchez
, Kevin McGuinness
, Noel E. O'Connor
, Stephen J. Redmond
:
Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies. IEEE Robotics Autom. Lett. 9(2): 1294-1301 (2024) - [j65]Sen Yan
, Noel E. O'Connor
, Mingming Liu
:
U-Park: A User-Centric Smart Parking Recommendation System for Electric Shared Micromobility Services. IEEE Trans. Artif. Intell. 5(10): 5179-5193 (2024) - [j64]Mohammed Amine Togou
, Anderson Augusto Simiscuka, Rohit Verma, Noel E. O'Connor
, Iñigo Tamayo
, Stefano Masneri
, Mikel Zorrilla
, Gabriel-Miro Muntean
:
An Innovative Adaptive Web-Based Solution for Improved Remote Co-Creation and Delivery of Artistic Performances. IEEE Trans. Broadcast. 70(2): 719-730 (2024) - [c352]Ayush K. Rai, Tarun Krishna, Feiyan Hu, Alexandru Drimbarean, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor:
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach. CVPR Workshops 2024: 3887-3899 - [c351]Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, 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. CVPR Workshops 2024: 5184-5193 - [c350]Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Mohamed El Amine Seddik, Sanath Narayan, Karttikeya Mangalam, Noel E. O'Connor:
Do Vision and Language Encoders Represent the World Similarly? CVPR 2024: 14334-14343 - [c349]Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness:
An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets. ECCV (49) 2024: 55-72 - [c348]Tendai Mukande
, Esraa Ali
, Annalina Caputo
, Ruihai Dong
, Noel E. O'Connor
:
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. ECIR (3) 2024: 316-325 - [c347]Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor:
Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. EUSIPCO 2024: 1666-1670 - [c346]Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor:
Learning and Reusing Primitive Behaviours to Improve Hindsight Experience Replay Sample Efficiency. ICARA 2024: 328-333 - [c345]Carles García-Cabrera
, Eric Arazo Sanchez
, Enric Moreu
, Kathleen M. Curran
, Noel E. O'Connor
, Kevin McGuinness
:
Synthetic Balancing of Cardiac MRI Datasets. MIUA (2) 2024: 353-365 - [c344]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Learning Saliency From Fixations. WACV 2024: 382-392 - [c343]Sukanya Mandal, Noel E. O'Connor:
OntoSmartDCU: A Multi-Agent Microservice Based Automated, Dynamic Ontology and Knowledge Graph Creation Framework From Real-Time Sensor Data for the Smart DCU Digital Twin. WF-IoT 2024: 784-789 - [i89]Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Mohamed El Amine Seddik, Karttikeya Mangalam, Noel E. O'Connor:
Do Vision and Language Encoders Represent the World Similarly? CoRR abs/2401.05224 (2024) - [i88]Qiang Wang, Yixin Deng, Francisco Roldan Sanchez, Keru Wang, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond:
Dataset Clustering for Improved Offline Policy Learning. CoRR abs/2402.09550 (2024) - [i87]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 abs/2404.06362 (2024) - [i86]Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran
, Noel E. O'Connor:
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. CoRR abs/2404.06941 (2024) - [i85]Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness:
An accurate detection is not all you need to combat label noise in web-noisy datasets. CoRR abs/2407.05528 (2024) - [i84]Mohamed Allam, Noureddine Boujnah, Noel E. O'Connor, Mingming Liu:
Synthetic Time Series for Anomaly Detection in Cloud Microservices. CoRR abs/2408.00006 (2024) - [i83]Khadija Iddrisu, Waseem Shariff, Noel E. O'Connor, Joseph Lemley, Suzanne Little:
Evaluating Image-Based Face and Eye Tracking with Event Cameras. CoRR abs/2408.10395 (2024) - [i82]Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Noel E. O'Connor:
From Unimodal to Multimodal: Scaling up Projectors to Align Modalities. CoRR abs/2409.19425 (2024) - [i81]Kirill Sirotkin, Marcos Escudero-Viñolo, Pablo Carballeira, Mayug Maniparambil, Catarina Barata, Noel E. O'Connor:
Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation. CoRR abs/2412.09160 (2024) - [i80]Sen Yan, David J. O'Connor, Xiaojun Wang, Noel E. O'Connor, Alan F. Smeaton, Mingming Liu:
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates. CoRR abs/2412.13966 (2024) - 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) - [c342]Carles García-Cabrera, Kathleen M. Curran
, Noel E. O'Connor, Kevin McGuinness:
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS 2023: 1-4 - [c341]Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Eric Arazo, Paul Albert, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor:
Unifying Synergies between Self-supervised Learning and Dynamic Computation. BMVC 2023: 394-401 - [c340]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Vision Transformers are Inherently Saliency Learners. BMVC 2023: 771-774 - [c339]Tendai Mukande
, Esraa Ali
, Annalina Caputo
, Ruihai Dong
, Noel E. O'Connor
:
A Flash Attention Transformer for Multi-Behaviour Recommendation. CIKM 2023: 4210-4214 - [c338]Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond:
Improving Behavioural Cloning with Positive Unlabeled Learning. CoRL 2023: 3851-3869 - [c337]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 - [c336]Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor:
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. ICCV (Workshops) 2023: 262-271 - [c335]Tendai Mukande
, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor:
A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation. ICEBE 2023: 90-96 - [c334]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. ICIP 2023: 1895-1899 - [c333]Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor:
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. IJCNN 2023: 1-9 - [c332]Sen Yan
, Shaoshu Zhu, Jaime B. Fernandez, Eric Arazo Sanchez, Yingqi Gu, Noel E. O'Connor, David O'Connor
, Mingming Liu:
Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data. ITSC 2023: 5496-5503 - [c331]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 - [c330]Julia Dietlmeier
, Carles García-Cabrera
, Anam Hashmi
, Kathleen M. Curran
, Noel E. O'Connor
:
Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline. STACOM@MICCAI 2023: 326-338 - [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 - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]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) - [i72]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) - [i71]Sen Yan, Maqsood Hussain Shah, Ji Li, Noel E. O'Connor, Mingming Liu:
A Review on AI Algorithms for Energy Management in E-Mobility Services. CoRR abs/2309.15140 (2023) - [i70]Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor:
Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency. CoRR abs/2310.01827 (2023) - [i69]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Learning Saliency From Fixations. CoRR abs/2311.14073 (2023) - [i68]Ayush K. Rai, Tarun Krishna, Feiyan Hu
, Alexandru Drimbarean, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor:
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach. CoRR abs/2311.16514 (2023) - [i67]Sen Yan, Hongyuan Fang, Ji Li, Tomás Ward, Noel E. O'Connor, Mingming Liu:
Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning. CoRR abs/2312.07371 (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, Gregory B. 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]