Richard Shaw

According to our database, Richard Shaw authored at least 21 papers between 2013 and 2024.

Collaborative distances:

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

2024

Acquisition-invariant brain MRI segmentation with informative uncertainties.

Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso

Medical Image Anal., February, 2024

AIM 2024 Sparse Neural Rendering Challenge: Methods and Results.

Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay, Richard Shaw, Eduardo Pérez-Pellitero, Radu Timofte, Xing Yan, Pan Wang, Yali Guo, Yongxin Wu, Youcheng Cai, Yanan Yang, Junting Li, Yanghong Zhou, P. Y. Mok, Zongqi He, Zhe Xiao, Kin-Chung Chan, Hana Lebeta Goshu, Cuixin Yang, Rongkang Dong, Jun Xiao, Kin-Man Lam, Jiayao Hao, Qiong Gao, Yanyan Zu, Junpei Zhang, Licheng Jiao, Xu Liu, Kuldeep Purohit

CoRR, 2024

AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark.

Michal Nazarczuk, Thomas Tanay, Sibi Catley-Chandar, Richard Shaw, Radu Timofte, Eduardo Pérez-Pellitero

CoRR, 2024

SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting.

Richard Shaw, Michal Nazarczuk, Jifei Song, Arthur Moreau, Sibi Catley-Chandar, Helisa Dhamo, Eduardo Pérez-Pellitero

Proceedings of the Computer Vision - ECCV 2024, 2024

HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting.

Helisa Dhamo, Yinyu Nie, Arthur Moreau, Jifei Song, Richard Shaw, Yiren Zhou, Eduardo Pérez-Pellitero

Proceedings of the Computer Vision - ECCV 2024, 2024

RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF.

Sibi Catley-Chandar, Richard Shaw, Gregory G. Slabaugh, Eduardo Pérez-Pellitero

Proceedings of the Computer Vision - ECCV 2024, 2024

Human Gaussian Splatting: Real-Time Rendering of Animatable Avatars.

Arthur Moreau, Jifei Song, Helisa Dhamo, Richard Shaw, Yiren Zhou, Eduardo Pérez-Pellitero

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

2023

SWAGS: Sampling Windows Adaptively for Dynamic 3D Gaussian Splatting.

Richard Shaw, Jifei Song, Arthur Moreau, Michal Nazarczuk, Sibi Catley-Chandar, Helisa Dhamo, Eduardo Pérez-Pellitero

CoRR, 2023

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads.

Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results.

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

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

HDR Reconstruction from Bracketed Exposures and Events.

Richard Shaw, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero

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

2021

A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation.

Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso, Hugh G. Pemberton

CoRR, 2021

Estimating MRI Image Quality via Image Reconstruction Uncertainty.

Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2021

The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties.

Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso

Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

2020

A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal.

Richard Shaw, Carole H. Sudre, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso

IEEE Trans. Medical Imaging, 2020

Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.

Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso

CoRR, 2020

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality.

Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis.

Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary J. Cook, M. Jorge Cardoso, Sébastien Ourselin

Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

2019

MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty.

Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2016

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications.

Xiaoyu Chen, Ole Schulz-Trieglaff, Richard Shaw, Bret Barnes, Felix Schlesinger, Morten Källberg, Anthony J. Cox, Semyon Kruglyak, Christopher T. Saunders

Bioinform., 2016

2013

Question Answering Against Very-Large Text Collections

Leon Derczynski, Richard Shaw, Ben Solway, Jun Wang

CoRR, 2013