Ronald Clark

According to our database, Ronald Clark authored at least 52 papers between 2013 and 2024.

Collaborative distances:

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

2024

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap.

Georgia Channing, Juil Sock, Ronald Clark, Philip Torr, Christian Schröder de Witt

CoRR, 2024

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Bradley C. A. Brown, Jordan Juravsky, Ryan Saul Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, Azalia Mirhoseini

CoRR, 2024

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge.

Yuanze Lin, Yunsheng Li, Dongdong Chen, Weijian Xu, Ronald Clark, Philip Torr, Lu Yuan

CoRR, 2024

EVCL: Elastic Variational Continual Learning with Weight Consolidation.

Hunar Batra, Ronald Clark

CoRR, 2024

DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion.

Yuanze Lin, Ronald Clark, Philip Torr

CoRR, 2024

DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications.

Nillan Nimal, Wenbin Li, Ronald Clark, Sajad Saeedi G.

CoRR, 2024

Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator.

Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Calibrated Uncertainties for Neural Radiance Fields.

Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark

CoRR, 2023

Volumetric Cloud Field Reconstruction.

Jacob Lin, Miguel Farinha, Edward Gryspeerdt, Ronald Clark

CoRR, 2023

Learning Tethered Perching for Aerial Robots.

Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark, Edward Johns, Mirko Kovac

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Orientation Keypoints for 6D Human Pose Estimation.

Martin Fisch, Ronald Clark

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep learning for 3D vision.

Yulan Guo, Hanyun Wang, Ronald Clark, Stefano Berretti, Mohammed Bennamoun

IET Comput. Vis., 2022

Uncertainty Estimation with a VAE-Classifier Hybrid Model.

Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts

Proceedings of the IEEE International Conference on Acoustics, 2022

Volumetric Bundle Adjustment for Online Photorealistic Scene Capture.

Ronald Clark

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

2021

Ivy: Templated Deep Learning for Inter-Framework Portability.

Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark

CoRR, 2021

Unsupervised Path Regression Networks.

Michal Pándy, Daniel Lenton, Ronald Clark

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

End-to-End Egospheric Spatial Memory.

Daniel James Lenton, Stephen James, Ronald Clark, Andrew J. Davison

Proceedings of the 9th International Conference on Learning Representations, 2021

Waypoint Planning Networks.

Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi

Proceedings of the 18th Conference on Robots and Vision, 2021

TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering.

Martin Piala, Ronald Clark

Proceedings of the International Conference on 3D Vision, 2021

2020

DeepFactors: Real-Time Probabilistic Dense Monocular SLAM.

Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison

IEEE Robotics Autom. Lett., 2020

Learning To Find Shortest Collision-Free Paths From Images.

Michal Pándy, Daniel Lenton, Ronald Clark

CoRR, 2020

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization.

Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni

CoRR, 2020

Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction.

Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model.

Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schönborn, Niki Trigoni, Stephen J. Roberts

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Scalable Uncertainty for Computer Vision With Functional Variational Inference.

Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly

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

LaDDer: Latent Data Distribution Modelling with a Generative Prior.

Shuyu Lin, Ronald Clark

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Towards Consistent Variational Auto-Encoding (Student Abstract).

Yijing Liu, Shuyu Lin, Ronald Clark

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient Indoor Positioning with Visual Experiences via Lifelong Learning.

Hongkai Wen, Ronald Clark, Sen Wang, Xiaoxuan Lu, Bowen Du, Wen Hu, Niki Trigoni

IEEE Trans. Mob. Comput., 2019

Balancing Reconstruction Quality and Regularisation in ELBO for VAEs.

Shuyu Lin, Stephen J. Roberts, Niki Trigoni, Ronald Clark

CoRR, 2019

X-Section: Cross-section Prediction for Enhanced RGBD Fusion.

Andrea Nicastro, Ronald Clark, Stefan Leutenegger

CoRR, 2019

WiSE-VAE: Wide Sample Estimator VAE.

Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts

CoRR, 2019

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds.

Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding.

Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion.

Andrea Nicastro, Ronald Clark, Stefan Leutenegger

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

Learning Meshes for Dense Visual SLAM.

Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison

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

Learning Semantically Meaningful Embeddings Using Linear Constraints.

Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks.

Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni

Int. J. Robotics Res., 2018

LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo.

Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison

CoRR, 2018

Learning to Solve Nonlinear Least Squares for Monocular Stereo.

Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison

Proceedings of the Computer Vision - ECCV 2018, 2018

CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM.

Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset.

Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger

Proceedings of the British Machine Vision Conference 2018, 2018

Fusion++: Volumetric Object-Level SLAM.

John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Visual-inertial odometry, mapping and re-localization through learning.

Ronald Clark

PhD thesis, 2017

VidLoc: 6-DoF Video-Clip Relocalization.

Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen

CoRR, 2017

DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks.

Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

3D Object Reconstruction from a Single Depth View with Adversarial Learning.

Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization.

Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem.

Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern.

Sen Wang, Hongkai Wen, Ronald Clark, Niki Trigoni

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data.

Ronald Clark, Sen Wang, Hongkai Wen, Niki Trigoni, Andrew Markham

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

Robust vision-based indoor localization.

Ronald Clark, Niki Trigoni, Andrew Markham

Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

2013

System for the recognition of online handwritten mathematical expressions.

Ronald Clark, Quik Kung, Anton van Wyk

Proceedings of Eurocon 2013, 2013