Steven McDonagh

According to our database, Steven McDonagh authored at least 39 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Label-efficient object detection via region proposal network pre-training.

Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh

Neurocomputing, 2024

Improving Object Detection via Local-global Contrastive Learning.

Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh

CoRR, 2024

einspace: Searching for Neural Architectures from Fundamental Operations.

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley

CoRR, 2024

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction.

Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris

CoRR, 2024

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

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Multi-task Learning with 3D-Aware Regularization.

Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CLAD: A realistic Continual Learning benchmark for Autonomous Driving.

Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars

Neural Networks, April, 2023

Optimisation-Based Multi-Modal Semantic Image Editing.

Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot

CoRR, 2023

Learning to Name Classes for Vision and Language Models.

Sarah Parisot, Yongxin Yang, Steven McDonagh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tunable Convolutions with Parametric Multi-Loss Optimization.

Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Spread Flows for Manifold Modelling.

Mingtian Zhang, Yitong Sun, Chen Zhang, Steven McDonagh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Region Proposal Network Pre-Training Helps Label-Efficient Object Detection.

Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh

CoRR, 2022

Out-of-Distribution Detection with Class Ratio Estimation.

Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh

CoRR, 2022

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images.

Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

CroMo: Cross-Modal Learning for Monocular Depth Estimation.

Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Long-tail Recognition via Compositional Knowledge Transfer.

Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Re-examining Distillation for Continual Object Detection.

Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Content-Diverse Comparisons improve IQA.

William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Model-Based Image Signal Processors via Learnable Dictionaries.

Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Flow Based Models For Manifold Data.

Mingtian Zhang, Yitong Sun, Steven McDonagh, Chen Zhang

CoRR, 2021

Residual Contrastive Learning for Joint Demosaicking and Denoising.

Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh

CoRR, 2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment.

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

CoRR, 2021

On the Out-of-distribution Generalization of Probabilistic Image Modelling.

Mingtian Zhang, Andi Zhang, Steven McDonagh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

CURL: Neural Curve Layers for Global Image Enhancement.

Sean Moran, Steven McDonagh, Gregory G. Slabaugh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping.

Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

DeepLPF: Deep Local Parametric Filters for Image Enhancement.

Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Multi-Hypothesis Approach to Color Constancy.

Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

SteReFo: Efficient Image Refocusing with Stereo Vision.

Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation.

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Meta-Learning for Few-shot Camera-Adaptive Color Constancy.

Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh

CoRR, 2018

2017

Interactive light source position estimation for augmented reality with an RGB-D camera.

Bastiaan J. Boom, Sergio Orts-Escolano, Xi Ning, Steven McDonagh, Peter Sandilands, Robert B. Fisher

Comput. Animat. Virtual Worlds, 2017

Noise Reduction on G-Buffers for Monte Carlo Filtering.

Bochang Moon, José Antonio Iglesias Guitián, Steven McDonagh, Kenny Mitchell

Comput. Graph. Forum, 2017

Real-Time Multi-View Facial Capture with Synthetic Training.

Martin Klaudiny, Steven McDonagh, Derek Bradley, Thabo Beeler, Kenny Mitchell

Comput. Graph. Forum, 2017

2016

Adaptive polynomial rendering.

Bochang Moon, Steven McDonagh, Kenny Mitchell, Markus H. Gross

ACM Trans. Graph., 2016

Synthetic Prior Design for Real-Time Face Tracking.

Steven McDonagh, Martin Klaudiny, Derek Bradley, Thabo Beeler, Iain A. Matthews, Kenny Mitchell

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Applying semi-synchronised task farming to large-scale computer vision problems.

Steven McDonagh, Cigdem Beyan, Phoenix X. Huang, Robert B. Fisher

Int. J. High Perform. Comput. Appl., 2015

2013

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

Proceedings of the British Machine Vision Conference, 2013