Steven McDonagh

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 49

Top Topics

Object Detection

Image Enhancement

Autonomous Driving

Neural Architectures

Top Venues

Comput. Graph. Forum

Publications

Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction. CoRR (2024)
Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen
Multi-task Learning with 3D-Aware Regularization. ICLR (2024)
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 (2024)
Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
einspace: Searching for Neural Architectures from Fundamental Operations. CoRR (2024)
Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh
Label-efficient object detection via region proposal network pre-training. Neurocomputing 577 (2024)
Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis
Tunable Convolutions with Parametric Multi-Loss Optimization. CVPR (2023)
Sarah Parisot, Yongxin Yang, Steven McDonagh
Learning to Name Classes for Vision and Language Models. CoRR (2023)
Sarah Parisot, Yongxin Yang, Steven McDonagh
Learning to Name Classes for Vision and Language Models. CVPR (2023)
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 (2023)
Mingtian Zhang, Yitong Sun, Chen Zhang, Steven McDonagh
Spread Flows for Manifold Modelling. AISTATS (2023)
Matteo Maggioni, Thomas Tanay, Francesca Babiloni, Steven McDonagh, Ales Leonardis
Tunable Convolutions with Parametric Multi-Loss Optimization. CoRR (2023)
Wei-Hong Li, Steven McDonagh, Ales Leonardis, Hakan Bilen
Multi-task Learning with 3D-Aware Regularization. CoRR (2023)
Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot
Optimisation-Based Multi-Modal Semantic Image Editing. CoRR (2023)
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 (2022)
Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh
CroMo: Cross-Modal Learning for Monocular Depth Estimation. CoRR (2022)
William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh
Content-Diverse Comparisons improve IQA. BMVC (2022)
Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh
Out-of-Distribution Detection with Class Ratio Estimation. CoRR (2022)
Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero
Model-Based Image Signal Processors via Learnable Dictionaries. CoRR (2022)
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 (2022)
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
Long-tail Recognition via Compositional Knowledge Transfer. CVPR (2022)
William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh
Content-Diverse Comparisons improve IQA. CoRR (2022)
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)
Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero
Model-Based Image Signal Processors via Learnable Dictionaries. AAAI (2022)
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)
Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh
CroMo: Cross-Modal Learning for Monocular Depth Estimation. CVPR (2022)
Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR (2022)
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
Long-tail Recognition via Compositional Knowledge Transfer. CoRR (2021)
Mingtian Zhang, Andi Zhang, Steven McDonagh
On the Out-of-distribution Generalization of Probabilistic Image Modelling. NeurIPS (2021)
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 (2021)
Mingtian Zhang, Yitong Sun, Steven McDonagh, Chen Zhang
Flow Based Models For Manifold Data. CoRR (2021)
Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR (2021)
Mingtian Zhang, Andi Zhang, Steven McDonagh
On the Out-of-distribution Generalization of Probabilistic Image Modelling. CoRR (2021)
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)
Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh
A Multi-Hypothesis Approach to Color Constancy. CoRR (2020)
Sean Moran, Steven McDonagh, Gregory G. Slabaugh
CURL: Neural Curve Layers for Global Image Enhancement. ICPR (2020)
Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
DeepLPF: Deep Local Parametric Filters for Image Enhancement. CoRR (2020)
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 (2020)
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)
Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh
A Multi-Hypothesis Approach to Color Constancy. CVPR (2020)
Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
DeepLPF: Deep Local Parametric Filters for Image Enhancement. CVPR (2020)
Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh
SteReFo: Efficient Image Refocusing with Stereo Vision. CoRR (2019)
Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory G. Slabaugh
SteReFo: Efficient Image Refocusing with Stereo Vision. ICCV Workshops (2019)
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)
Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh
Meta-Learning for Few-shot Camera-Adaptive Color Constancy. CoRR (2018)
Bochang Moon, José Antonio Iglesias Guitián, Steven McDonagh, Kenny Mitchell
Noise Reduction on G-Buffers for Monte Carlo Filtering. Comput. Graph. Forum 36 (8) (2017)
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)
Martin Klaudiny, Steven McDonagh, Derek Bradley, Thabo Beeler, Kenny Mitchell
Real-Time Multi-View Facial Capture with Synthetic Training. Comput. Graph. Forum 36 (2) (2017)
Bochang Moon, Steven McDonagh, Kenny Mitchell, Markus H. Gross
Adaptive polynomial rendering. ACM Trans. Graph. 35 (4) (2016)
Steven McDonagh, Martin Klaudiny, Derek Bradley, Thabo Beeler, Iain A. Matthews, Kenny Mitchell
Synthetic Prior Design for Real-Time Face Tracking. 3DV (2016)
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) (2015)
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)