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ORCIDSteven McDonagh 0001
Steven G. McDonagh 0001
Person information
- affiliation: University of Edinburgh, School of Engineering, UK
- affiliation: Huawei Noah's Ark Lab
Other persons with the same name
- Steven McDonagh — disambiguation page
- Steven G. McDonagh — disambiguation page
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2020 – today
- 2025
[j11]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang:
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. IEEE Trans. Medical Imaging 44(4): 1671-1685 (2025)- [i38]Yuyang Xue, Edward Moroshko, Feng Chen, Steven McDonagh, Sotirios A. Tsaftaris:
CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models. CoRR abs/2503.14232 (2025) - [i37]Ilias Stogiannidis, Steven McDonagh, Sotirios A. Tsaftaris:
Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models. CoRR abs/2503.19707 (2025) - [i36]Raman Dutt, Harleen Hanspal, Guoxuan Xia, Petru-Daniel Tudosiu, Alexander Black, Yongxin Yang, Steven McDonagh, Sarah Parisot:
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities. CoRR abs/2503.22517 (2025) - [i35]Raman Dutt, Pedro Sanchez, Yongchen Yao, Steven McDonagh, Sotirios A. Tsaftaris, Timothy M. Hospedales:
CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs. CoRR abs/2505.10496 (2025) - [i34]Damian Machlanski, Stephanie Riley, Edward Moroshko, Kurt Butler, Panagiotis Dimitrakopoulos, Thomas Melistas, Akchunya Chanchal, Steven McDonagh, Ricardo Silva, Sotirios A. Tsaftaris:
A Shift in Perspective on Causality in Domain Generalization. CoRR abs/2508.12798 (2025) - [i33]Junyu Yan, Feng Chen, Yuyang Xue, Yuning Du, Konstantinos Vilouras, Sotirios A. Tsaftaris, Steven McDonagh:
SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation. CoRR abs/2508.18826 (2025) - 2024
- [j10]Nanqing Dong
, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh:
Label-efficient object detection via region proposal network pre-training. Neurocomputing 577: 127376 (2024) - [c28]Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Improving Object Detection via Local-global Contrastive Learning. BMVC 2024 - [c27]Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot:
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CVPR 2024: 22413-22422 - [c26]Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen:
Multi-task Learning with 3D-Aware Regularization. ICLR 2024 - [c25]Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. FAIMI/EPIMI@MICCAI 2024: 98-108 - [c24]Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. MIDL 2024: 1785-1800 - [i32]Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot:
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. CoRR abs/2404.02790 (2024) - [i31]Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. CoRR abs/2405.15517 (2024) - [i30]Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning. CoRR abs/2408.06890 (2024) - [i29]Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Improving Object Detection via Local-global Contrastive Learning. CoRR abs/2410.05058 (2024) - [i28]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang:
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. CoRR abs/2412.13599 (2024) - 2023
- [j9]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. Neural Networks 161: 659-669 (2023) - [c23]Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis:
Tunable Convolutions with Parametric Multi-Loss Optimization. CVPR 2023: 20226-20236 - [c22]Sarah Parisot, Yongxin Yang, Steven McDonagh:
Learning to Name Classes for Vision and Language Models. CVPR 2023: 23477-23486 - [i27]Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis:
Tunable Convolutions with Parametric Multi-Loss Optimization. CoRR abs/2304.00898 (2023) - [i26]Sarah Parisot, Yongxin Yang, Steven McDonagh:
Learning to Name Classes for Vision and Language Models. CoRR abs/2304.01830 (2023) - [i25]Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen:
Multi-task Learning with 3D-Aware Regularization. CoRR abs/2310.00986 (2023) - [i24]Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot:
Optimisation-Based Multi-Modal Semantic Image Editing. CoRR abs/2311.16882 (2023) - 2022
- [c21]Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. AAAI 2022: 481-489 - [c20]William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Content-Diverse Comparisons improve IQA. BMVC 2022: 244 - [c19]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
Re-examining Distillation for Continual Object Detection. BMVC 2022: 807 - [c18]Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh:
CroMo: Cross-Modal Learning for Monocular Depth Estimation. CVPR 2022: 3927-3937 - [c17]Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li:
Long-tail Recognition via Compositional Knowledge Transfer. CVPR 2022: 6929-6938 - [c16]Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. IJCAI 2022: 2930-2936 - [i23]Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. CoRR abs/2201.03210 (2022) - [i22]Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh:
CroMo: Cross-Modal Learning for Monocular Depth Estimation. CoRR abs/2203.12485 (2022) - [i21]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
Re-examining Distillation For Continual Object Detection. CoRR abs/2204.01407 (2022) - [i20]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. CoRR abs/2210.03482 (2022) - [i19]William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Content-Diverse Comparisons improve IQA. CoRR abs/2211.05215 (2022) - [i18]Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh:
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR abs/2211.09022 (2022) - 2021
- [i17]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:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR abs/2105.03072 (2021) - [i16]Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR abs/2106.10070 (2021) - [i15]Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li:
Long-tail Recognition via Compositional Knowledge Transfer. CoRR abs/2112.06741 (2021) - 2020
- [c15]Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. CVPR 2020: 2267-2277 - [c14]Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh:
DeepLPF: Deep Local Parametric Filters for Image Enhancement. CVPR 2020: 12823-12832 - [c13]Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot:
Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection. ECCV (8) 2020: 35-50 - [c12]Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh:
Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping. ECCV (13) 2020: 103-119 - [c11]Sean Moran, Steven McDonagh, Gregory G. Slabaugh:
CURL: Neural Curve Layers for Global Image Enhancement. ICPR 2020: 9796-9803 - [i14]Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. CoRR abs/2002.12896 (2020) - [i13]Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh:
DeepLPF: Deep Local Parametric Filters for Image Enhancement. CoRR abs/2003.13985 (2020) - [i12]Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot:
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection. CoRR abs/2008.09694 (2020)
2010 – 2019
- 2019
- [c10]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:
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. BrainLes@MICCAI (1) 2019: 13-22 - [c9]Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh:
SteReFo: Efficient Image Refocusing with Stereo Vision. ICCV Workshops 2019: 3295-3304 - [i11]Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh:
SteReFo: Efficient Image Refocusing with Stereo Vision. CoRR abs/1909.13395 (2019) - 2018
- [j8]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. IEEE Trans. Medical Imaging 37(8): 1737-1750 (2018) - [c8]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:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. DATRA/PIPPI@MICCAI 2018: 117-127 - [c7]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:
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) 2018: 277-285 - [c6]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. MICCAI (1) 2018: 756-764 - [i10]Ozan Oktay, Jo Schlemper, Loïc Le Folgoc, Matthew C. H. Lee, Mattias P. Heinrich, Kazunari Misawa, Kensaku Mori, Steven G. McDonagh, Nils Y. Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention U-Net: Learning Where to Look for the Pancreas. CoRR abs/1804.03999 (2018) - [i9]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. CoRR abs/1805.01026 (2018) - [i8]Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. CoRR abs/1806.03228 (2018) - [i7]Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers. CoRR abs/1807.10583 (2018) - [i6]Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh:
Meta-Learning for Few-shot Camera-Adaptive Color Constancy. CoRR abs/1811.11788 (2018) - 2017
- [j7]Martin Klaudiny, Steven McDonagh, Derek Bradley, Thabo Beeler, Kenny Mitchell:
Real-Time Multi-View Facial Capture with Synthetic Training. Comput. Graph. Forum 36(2): 325-336 (2017) - [j6]Bochang Moon, José Antonio Iglesias Guitián, Steven McDonagh, Kenny Mitchell:
Noise Reduction on G-Buffers for Monte Carlo Filtering. Comput. Graph. Forum 36(8): 600-612 (2017) - [j5]Bastiaan J. Boom, Sergio Orts-Escolano, Xi Ning, Steven McDonagh, Peter Sandilands, Robert B. Fisher:
Interactive light source position estimation for augmented reality with an RGB-D camera. Comput. Animat. Virtual Worlds 28(1) (2017) - [j4]Amir Alansary, Martin Rajchl, Steven G. McDonagh, Maria Murgasova, Mellisa Damodaram, David F. A. Lloyd, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. IEEE Trans. Medical Imaging 36(10): 2031-2044 (2017) - [c5]Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz:
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CMMI/RAMBO/SWITCH@MICCAI 2017: 116-126 - [c4]Benjamin Hou, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. MICCAI (2) 2017: 296-304 - [c3]Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker:
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. BrainLes@MICCAI 2017: 450-462 - [i5]Benjamin Hou, Amir Alansary, Steven G. McDonagh, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. CoRR abs/1702.08891 (2017) - [i4]Steven G. McDonagh, Benjamin Hou, Konstantinos Kamnitsas, Ozan Oktay, Amir Alansary, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz:
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. CoRR abs/1703.00035 (2017) - [i3]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. CoRR abs/1709.06341 (2017) - [i2]Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker:
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. CoRR abs/1711.01468 (2017) - 2016
- [j3]Bochang Moon, Steven McDonagh, Kenny Mitchell, Markus H. Gross:
Adaptive polynomial rendering. ACM Trans. Graph. 35(4): 40:1-40:10 (2016) - [c2]Steven McDonagh, Martin Klaudiny, Derek Bradley, Thabo Beeler, Iain A. Matthews, Kenny Mitchell:
Synthetic Prior Design for Real-Time Face Tracking. 3DV 2016: 639-648 - [i1]Amir Alansary, Bernhard Kainz, Martin Rajchl, Maria Murgasova, Mellisa Damodaram, David F. A. Lloyd, Alice Davidson, Steven G. McDonagh, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert:
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. CoRR abs/1611.07289 (2016) - 2015
- [j2]Steven McDonagh, Cigdem Beyan, Phoenix X. Huang, Robert B. Fisher:
Applying semi-synchronised task farming to large-scale computer vision problems. Int. J. High Perform. Comput. Appl. 29(4): 437-460 (2015) - [j1]Helen L. Ramsden, Gülsen Sürmeli, Steven G. McDonagh, Matthew F. Nolan:
Laminar and Dorsoventral Molecular Organization of the Medial Entorhinal Cortex Revealed by Large-scale Anatomical Analysis of Gene Expression. PLoS Comput. Biol. 11(1) (2015) - 2013
- [c1]Bas Boom, Sergio Orts-Escolano, Xi Ning, Steven McDonagh, Peter Sandilands, Robert B. Fisher:
Point Light Source Estimation based on Scenes Recorded by a RGB-D camera. BMVC 2013
Coauthor Index
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