Steven McDonagh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
12
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Multimodal Dual-Path Decoding for Medical Report Generation. | Jinghan Sun, Dong Wei, Zhihong Zhu, Yuyang Xue, Steven McDonagh, Xian Wu |
| 2026 | WACV | GaussianHeadTalk: Wobble-Free 3D Talking Heads with Audio Driven Gaussian Splatting. | Madhav Agarwal, Mingtian Zhang, Laura Sevilla-Lara, Steven McDonagh |
| 2025 | ICIP | When Pigs Fly: Evaluating Semantic Overconfidence in Deep Neural Network Classifiers. | Panagiotis Dimitrakopoulos, Paraskevas Pegios, Steven McDonagh, Sotirios A. Tsaftaris |
| 2024 | BMVC | Improving Object Detection via Local-global Contrastive Learning. | Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh |
| 2024 | CVPR | MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation. | Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot |
| 2024 | ICLR | Multi-task Learning with 3D-Aware Regularization. | Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen |
| 2024 | MICCAI | BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. | Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris |
| 2023 | AISTATS | Spread Flows for Manifold Modelling. | Mingtian Zhang, Yitong Sun, Chen Zhang, Steven McDonagh |
| 2023 | CVPR | Tunable Convolutions with Parametric Multi-Loss Optimization. | Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis |
| 2023 | CVPR | Learning to Name Classes for Vision and Language Models. | Sarah Parisot, Yongxin Yang, Steven McDonagh |
| 2022 | AAAI | Model-Based Image Signal Processors via Learnable Dictionaries. | Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Prez-Pellitero |
| 2022 | BMVC | Content-Diverse Comparisons improve IQA. | William Thong, Jos Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh |
| 2022 | BMVC | Re-examining Distillation for Continual Object Detection. | Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Prez-Pellitero, Matthias De Lange, Tinne Tuytelaars |
| 2022 | CVPR | Long-tail Recognition via Compositional Knowledge Transfer. | Sarah Parisot, Pedro M. Esperana, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li |
| 2022 | CVPR | CroMo: Cross-Modal Learning for Monocular Depth Estimation. | Yannick Verdi, Jifei Song, Barnab Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh |
| 2022 | IJCAI | Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. | Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Prez-Pellitero, Ales Leonardis, Steven McDonagh |
| 2020 | CVPR | A Multi-Hypothesis Approach to Color Constancy. | Daniel Hernndez Jurez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh |
| 2020 | CVPR | DeepLPF: Deep Local Parametric Filters for Image Enhancement. | Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh |
| 2020 | ECCV | Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection. | Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot |
| 2020 | ECCV | Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping. | Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh |
| 2020 | ICPR | CURL: Neural Curve Layers for Global Image Enhancement. | Sean Moran, Steven McDonagh, Gregory G. Slabaugh |
| 2018 | MICCAI | Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. | Amir Alansary, Loc 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 | MICCAI | Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. | Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz |
| 2018 | MICCAI | EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. | Bishesh Khanal, Alberto Gmez, 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 |
| 2017 | MICCAI | Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. | Benjamin Hou, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz |
| 2017 | MICCAI | Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. | 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 | MICCAI | Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging. | Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz |
| 2013 | BMVC | Point Light Source Estimation based on Scenes Recorded by a RGB-D camera. | Bas Boom, Sergio Orts-Escolano, Xi Ning, Steven McDonagh, Peter Sandilands, Robert B. Fisher |