Steven G. McDonagh

发表

Attention U-Net: Learning Where to Look for the Pancreas pdf

Loïc Le Folgoc, Ben Glocker, Daniel Rueckert, 2018, ArXiv.

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry pdf

Bishesh Khanal, Amir Alansary, Ben Glocker, 2018, MICCAI.

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2016, IEEE Transactions on Medical Imaging.

Laminar and Dorsoventral Molecular Organization of the Medial Entorhinal Cortex Revealed by Large-scale Anatomical Analysis of Gene Expression

Matthew F. Nolan, Steven G. McDonagh, Helen L. Ramsden, 2015, PLoS Comput. Biol..

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers pdf

Bishesh Khanal, Daniel Rueckert, Bernhard Kainz, 2018, DATRA/PIPPI@MICCAI.

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2017, BrainLes@MICCAI.

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

Loïc Le Folgoc, Konstantinos Kamnitsas, Amir Alansary, 2018, MICCAI.

Point Light Source Estimation based on Scenes Recorded by a RGB-D camera

Robert B. Fisher, Steven G. McDonagh, Peter Sandilands, 2013, BMVC.

Adaptive polynomial rendering

Steven McDonagh, Kenny Mitchell, Markus H. Gross, 2016, ACM Trans. Graph..

Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem.

Steven McDonagh, Xing Zhang, Ales Leonardis, 2018, 1811.11788.

Using 3D information for classification of non-melanoma skin lesions

Robert B. Fisher, Steven McDonagh, Steven G. McDonagh, 2008 .

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

Steven G. McDonagh, A. Leonardis, Yongxin Yang, 2021, 2106.10070.

Proceedings of CVPR2016 Workshop Large Scale 3D Data: Acquisition, Modelling and Analysis

Steven McDonagh, Bob Fisher, Steven G. McDonagh, 2016 .

Towards real-time light source position estimation for augmented reality with an RGB-D camera

Robert B. Fisher, Steven G. McDonagh, Peter Sandilands, 2014 .

Supplementary Material: Long-tail Recognition via Compositional Knowledge Transfer

Steven G. McDonagh, T. Madarász, Yongxin Yang, 2022 .

Re-examining Distillation For Continual Object Detection

Matthias De Lange, Steven G. McDonagh, T. Tuytelaars, 2022, BMVC.

CLAD: A realistic Continual Learning benchmark for Autonomous Driving

Matthias De Lange, Steven G. McDonagh, T. Tuytelaars, 2022, Neural Networks.

Content-Diverse Comparisons improve IQA

Steven G. McDonagh, A. Leonardis, Sarah Parisot, 2022, BMVC.

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Radu Timofte, Kiyoharu Aizawa, Ales Leonardis, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion pdf

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2017, MICCAI.

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

Steven McDonagh, Sarah Parisot, Gregory Slabaugh, 2020, ECCV.

Out-of-Distribution Detection with Class Ratio Estimation

Steven G. McDonagh, Tim Z. Xiao, Yitong Sun, 2022, ArXiv.

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

Steven G. McDonagh, Steven McDonagh, Andi Zhang, 2021, NeurIPS.

A Multi-Hypothesis Approach to Color Constancy

Steven McDonagh, Benjamin Busam, Sarah Parisot, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DeepLPF: Deep Local Parametric Filters for Image Enhancement

Steven McDonagh, Sarah Parisot, Steven G. McDonagh, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Flow Based Models For Manifold Data pdf

Steven G. McDonagh, Chen Zhang, Steven McDonagh, 2021, ArXiv.

CroMo: Cross-Modal Learning for Monocular Depth Estimation

Steven G. McDonagh, Jifei Song, Benjamin Busam, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

CURL: Neural Curve Layers for Global Image Enhancement

Steven McDonagh, Steven G. McDonagh, Gregory Slabaugh, 2019, 2020 25th International Conference on Pattern Recognition (ICPR).

Model-Based Image Signal Processors via Learnable Dictionaries

Steven G. McDonagh, Marcos V. Conde, Matteo Maggioni, 2022, AAAI.

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images

Bishesh Khanal, Amir Alansary, Ben Glocker, 2017, IEEE Transactions on Medical Imaging.

SteReFo: Efficient Image Refocusing with Stereo Vision

Steven McDonagh, Benjamin Busam, Steven G. McDonagh, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

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

Robert B. Fisher, Steven McDonagh, Sergio Orts, 2017, Comput. Animat. Virtual Worlds.

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging

Konstantinos Kamnitsas, Amir Alansary, Steven McDonagh, 2017, CMMI/RAMBO/SWITCH@MICCAI.

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images

Bishesh Khanal, Daniel Rueckert, Steven McDonagh, 2017 .

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Steven G. McDonagh, Sid Ahmed Fezza, Jimmy S. J. Ren, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Learning to Name Classes for Vision and Language Models

Steven G. McDonagh, Yongxin Yang, Sarah Parisot, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2018 .

Long-tail Recognition via Compositional Knowledge Transfer

Steven G. McDonagh, T. Madarász, Yongxin Yang, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection pdf

Steven McDonagh, Philip H. S. Torr, Sarah Parisot, 2020, ECCV.

Fusing 100’s of 3D Point Clouds of Objects

Robert B. Fisher, Steven McDonagh, Steven G. McDonagh, 2016, Computer Vision and Pattern Recognition.

Building models from multiple point sets with kernel density estimation

Steven G. McDonagh, 2015 .

Simultaneous registration of multi-view range images with adaptive kernel density estimation

Steven McDonagh, Bob Fisher, Steven G. McDonagh, 2013 .

Residual Contrastive Learning for Joint Demosaicking and Denoising pdf

Ales Leonardis, Yongxin Yang, Matteo Maggioni, 2021, ArXiv.

Real‐Time Multi‐View Facial Capture with Synthetic Training

Martin Klaudiny, Steven McDonagh, Derek Bradley, 2017, Comput. Graph. Forum.

Synthetic Prior Design for Real-Time Face Tracking

Martin Klaudiny, Steven McDonagh, Thabo Beeler, 2016, 2016 Fourth International Conference on 3D Vision (3DV).

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

Steven McDonagh, Zhenguo Li, Gregory G. Slabaugh, 2018, ArXiv.

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

Konstantinos Kamnitsas, Daniel Rueckert, Steven McDonagh, 2019, BrainLes@MICCAI.

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI

Steven G. McDonagh, D. Rueckert, J. Hajnal, 2016, IEEE Transactions on Medical Imaging.

Tunable Convolutions with Parametric Multi-Loss Optimization

Steven G. McDonagh, F. Babiloni, T. Tanay, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Spread Flows for Manifold Modelling

Steven G. McDonagh, Yitong Sun, Mingtian Zhang, 2021, AISTATS.

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

Steven G. McDonagh, A. Leonardis, Yongxin Yang, 2022, Neurocomputing.