McGuinness, Kevin

20 publications

ECCV 2024 An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets Paul Albert, Kevin McGuinness, Eric Arazo, Tarun Krishna, Noel O Connor, Jack Valmadre
WACV 2024 Learning Saliency from Fixations Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel O’Connor
CVPRW 2024 Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach Ayush K. Rai, Tarun Krishna, Feiyan Hu, Alexandru Drimbarean, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
ICCVW 2023 Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
CoRL 2023 Improving Behavioural Cloning with Positive Unlabeled Learning Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O’Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond
WACV 2023 Is Your Noise Correction Noisy? PLS: Robustness to Label Noise with Two Stage Detection Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O’Connor, Kevin McGuinness
WACV 2023 Motion Aware Self-Supervision for Generic Event Boundary Detection Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O’Connor
WACV 2023 TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders Using Hierarchical Maps Distillation Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi, Concetto Spampinato, Kevin McGuinness
WACV 2022 Addressing Out-of-Distribution Label Noise in Webly-Labelled Data Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
ECCV 2022 Embedding Contrastive Unsupervised Features to Cluster In- and Out-of-Distribution Noise in Corrupted Image Datasets Paul Albert, Eric Arazo, Noel E. O’Connor, Kevin McGuinness
CVPRW 2022 Unsupervised Domain Adaptation and Super Resolution on Drone Images for Autonomous Dry Herbage Biomass Estimation Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
CVPR 2021 Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
ICCV 2021 Rethinking 360deg Image Visual Attention Modelling with Unsupervised Learning. Yasser Abdelaziz Dahou Djilali, Tarun Krishna, Kevin McGuinness, Noel E. O’Connor
ICCVW 2021 Semi-Supervised Dry Herbage Mass Estimation Using Automatic Data and Synthetic Images Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
ICCVW 2021 Simple Baselines Can Fool 360° Saliency Metrics Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
ICML 2019 Unsupervised Label Noise Modeling and Loss Correction Eric Arazo, Diego Ortego, Paul Albert, Noel O’Connor, Kevin Mcguinness
CVPRW 2019 WAV2PIX: Speech-Conditioned Face Generation Using Generative Adversarial Networks Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto
ECCVW 2018 PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor
ICCVW 2017 SaltiNet: Scan-Path Prediction on 360 Degree Images Using Saliency Volumes Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor
CVPR 2016 Shallow and Deep Convolutional Networks for Saliency Prediction Junting Pan, Elisa Sayrol, Xavier Giro-i-Nieto, Kevin McGuinness, Noel E. O'Connor