Steven McDonagh

72 papers A* 10A 4B 1Journal 43Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Causal Framework for Mitigating Data Shifts in Healthcare. CoRR Kurt Butler, Stephanie Riley, Damian Machlanski, Edward Moroshko, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Konstantinos Vilouras, Zhihua Liu, Steven McDonagh, Hana Chockler, Ben Glocker, Niccoló Tempini, Matthew Sperrin, Sotirios A. Tsaftaris, Ricardo Silva
2026	J	`jnl`	CSEval: A Framework for Evaluating Clinical Semantics in Text-to-Image Generation. CoRR Robert Cronshaw, Konstantinos Vilouras, Junyu Yan, Yuning Du, Feng Chen, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	A Shift in Perspective on Causality in Domain Generalization. CoRR Damian Machlanski, Stephanie Riley, Edward Moroshko, Kurt Butler, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Steven McDonagh, Ricardo Silva, Sotirios A. Tsaftaris
2025	J	`jnl`	CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models. CoRR Yuyang Xue, Edward Moroshko, Feng Chen, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	Causal Ordering for Structure Learning From Time Series. CoRR Pedro P. Sanchez, Damian Machlanski, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	Causal Ordering for Structure Learning from Time Series. Trans. Mach. Learn. Res. Pedro P. Sanchez, Damian Machlanski, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs. CoRR Raman Dutt, Pedro Sanchez, Yongchen Yao, Steven McDonagh, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	J	`jnl`	Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities. CoRR Raman Dutt, Harleen Hanspal, Guoxuan Xia, Petru-Daniel Tudosiu, Alexander Black, Yongxin Yang, Steven McDonagh, Sarah Parisot
2025	J	`jnl`	Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models. CoRR Ilias Stogiannidis, Steven McDonagh, Sotirios A. Tsaftaris
2025	J	`jnl`	SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation. CoRR Junyu Yan, Feng Chen, Yuyang Xue, Yuning Du, Konstantinos Vilouras, Sotirios A. Tsaftaris, Steven McDonagh
2025	J	`jnl`	Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. IEEE Trans. Medical Imaging Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2025	J	`jnl`	View-Consistent Diffusion Representations for 3D-Consistent Video Generation. CoRR Duolikun Danier, Ge Gao, Steven McDonagh, Changjian Li, Hakan Bilen, Oisin Mac Aodha
2025	—	`conf`	When Pigs Fly: Evaluating Semantic Overconfidence in Deep Neural Network Classifiers. ICIPW Panagiotis Dimitrakopoulos, Paraskevas Pegios, Steven McDonagh, Sotirios A. Tsaftaris
2024	—	`conf`	BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. FAIMI/EPIMI@MICCAI Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024	J	`jnl`	BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning. CoRR Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024	—	`conf`	Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. MIDL Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024	J	`jnl`	Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. CoRR Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024	A	`conf`	Improving Object Detection via Local-global Contrastive Learning. BMVC Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh
2024	J	`jnl`	Improving Object Detection via Local-global Contrastive Learning. CoRR Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh
2024	J	`jnl`	Label-efficient object detection via region proposal network pre-training. Neurocomputing Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh
2024	A*	`conf`	MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CVPR Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
2024	J	`jnl`	MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CoRR Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
2024	A*	`conf`	Multi-task Learning with 3D-Aware Regularization. ICLR Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen
2024	J	`jnl`	Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. CoRR Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2023	J	`jnl`	CLAD: A realistic Continual Learning benchmark for Autonomous Driving. Neural Networks Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2023	A*	`conf`	Learning to Name Classes for Vision and Language Models. CVPR Sarah Parisot, Yongxin Yang, Steven McDonagh
2023	J	`jnl`	Learning to Name Classes for Vision and Language Models. CoRR Sarah Parisot, Yongxin Yang, Steven McDonagh
2023	J	`jnl`	Multi-task Learning with 3D-Aware Regularization. CoRR Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen
2023	J	`jnl`	Optimisation-Based Multi-Modal Semantic Image Editing. CoRR Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot
2023	A*	`conf`	Tunable Convolutions with Parametric Multi-Loss Optimization. CVPR Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis
2023	J	`jnl`	Tunable Convolutions with Parametric Multi-Loss Optimization. CoRR Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis
2022	J	`jnl`	CLAD: A realistic Continual Learning benchmark for Autonomous Driving. CoRR Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022	A	`conf`	Content-Diverse Comparisons improve IQA. BMVC William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh
2022	J	`jnl`	Content-Diverse Comparisons improve IQA. CoRR William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh
2022	A*	`conf`	CroMo: Cross-Modal Learning for Monocular Depth Estimation. CVPR Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh
2022	J	`jnl`	CroMo: Cross-Modal Learning for Monocular Depth Estimation. CoRR Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh
2022	A*	`conf`	Long-tail Recognition via Compositional Knowledge Transfer. CVPR Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
2022	A*	`conf`	Model-Based Image Signal Processors via Learnable Dictionaries. AAAI Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero
2022	J	`jnl`	Model-Based Image Signal Processors via Learnable Dictionaries. CoRR Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero
2022	J	`jnl`	Re-examining Distillation For Continual Object Detection. CoRR Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022	A	`conf`	Re-examining Distillation for Continual Object Detection. BMVC Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022	J	`jnl`	Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh
2022	A*	`conf`	Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. IJCAI Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
2021	J	`jnl`	Long-tail Recognition via Compositional Knowledge Transfer. CoRR Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
2021	J	`jnl`	NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
2021	J	`jnl`	Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
2020	A*	`conf`	A Multi-Hypothesis Approach to Color Constancy. CVPR Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh
2020	J	`jnl`	A Multi-Hypothesis Approach to Color Constancy. CoRR Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh
2020	B	`conf`	CURL: Neural Curve Layers for Global Image Enhancement. ICPR Sean Moran, Steven McDonagh, Gregory G. Slabaugh
2020	A*	`conf`	DeepLPF: Deep Local Parametric Filters for Image Enhancement. CVPR Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
2020	J	`jnl`	DeepLPF: Deep Local Parametric Filters for Image Enhancement. CoRR Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
2020	—	`conf`	Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping. ECCV (13) Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
2020	—	`conf`	Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection. ECCV (8) Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot
2020	J	`jnl`	Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection. CoRR Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot
2019	—	`conf`	SteReFo: Efficient Image Refocusing with Stereo Vision. ICCV Workshops Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh
2019	J	`jnl`	SteReFo: Efficient Image Refocusing with Stereo Vision. CoRR Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh
2019	—	`conf`	TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. BrainLes@MICCAI (1) Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker
2018	J	`jnl`	3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. IEEE Trans. Medical Imaging Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2018	—	`conf`	Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018	—	`conf`	Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. MICCAI (1) Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2018	—	`conf`	EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. DATRA/PIPPI@MICCAI Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz
2018	J	`jnl`	Meta-Learning for Few-shot Camera-Adaptive Color Constancy. CoRR Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh
2017	—	`conf`	Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CMMI/RAMBO/SWITCH@MICCAI Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz
2017	—	`conf`	Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. BrainLes@MICCAI Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	Interactive light source position estimation for augmented reality with an RGB-D camera. Comput. Animat. Virtual Worlds Bastiaan J. Boom, Sergio Orts-Escolano, Xi Ning, Steven McDonagh, Peter Sandilands, Robert B. Fisher
2017	J	`jnl`	Noise Reduction on G-Buffers for Monte Carlo Filtering. Comput. Graph. Forum Bochang Moon, José Antonio Iglesias Guitián, Steven McDonagh, Kenny Mitchell
2017	—	`conf`	Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. MICCAI (2) Benjamin Hou, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz
2017	J	`jnl`	Real-Time Multi-View Facial Capture with Synthetic Training. Comput. Graph. Forum Martin Klaudiny, Steven McDonagh, Derek Bradley, Thabo Beeler, Kenny Mitchell
2016	J	`jnl`	Adaptive polynomial rendering. ACM Trans. Graph. Bochang Moon, Steven McDonagh, Kenny Mitchell, Markus H. Gross
2016	—	`conf`	Synthetic Prior Design for Real-Time Face Tracking. 3DV Steven McDonagh, Martin Klaudiny, Derek Bradley, Thabo Beeler, Iain A. Matthews, Kenny Mitchell
2015	J	`jnl`	Applying semi-synchronised task farming to large-scale computer vision problems. Int. J. High Perform. Comput. Appl. Steven McDonagh, Cigdem Beyan, Phoenix X. Huang, Robert B. Fisher
2013	A	`conf`	Point Light Source Estimation based on Scenes Recorded by a RGB-D camera. BMVC Bas Boom, Sergio Orts-Escolano, Xi Ning, Steven McDonagh, Peter Sandilands, Robert B. Fisher