System for the recognition of online handwritten mathematical expressions. - Ronald Clark; Quik Kung; Anton van Wyk (EUROCON, 2013)

Robust vision-based indoor localization. - Ronald Clark; Niki Trigoni; Andrew Markham (IPSN, 2015)

Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data. - Ronald Clark; Sen Wang 002; Hongkai Wen 001; Niki Trigoni; Andrew Markham (Humanoids, 2016)

Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern. - Sen Wang 002; Hongkai Wen 001; Ronald Clark; Niki Trigoni (IROS, 2016)

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. - Ronald Clark; Sen Wang 002; Hongkai Wen 001; Andrew Markham; Niki Trigoni (AAAI, 2017)

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization. - Ronald Clark; Sen Wang 002; Andrew Markham; Niki Trigoni; Hongkai Wen 001 (CVPR, 2017)

3D Object Reconstruction from a Single Depth View with Adversarial Learning. - Bo Yang 027; Hongkai Wen 001; Sen Wang 002; Ronald Clark; Andrew Markham; Niki Trigoni (ICCV Workshops, 2017)

DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks. - Sen Wang 002; Ronald Clark; Hongkai Wen 001; Niki Trigoni (ICRA, 2017)

VidLoc: 6-DoF Video-Clip Relocalization. - Ronald Clark; Sen Wang 002; Andrew Markham; Niki Trigoni; Hongkai Wen 001 (CoRR, 2017)

Visual-inertial odometry, mapping and re-localization through learning. - Ronald Clark (2017)

Fusion++: Volumetric Object-Level SLAM. - John McCormac; Ronald Clark; Michael Bloesch; Andrew J. Davison; Stefan Leutenegger (3DV, 2018)

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. - Wenbin Li 002; Sajad Saeedi 001; John McCormac; Ronald Clark; Dimos Tzoumanikas; Qing Ye; Yuzhong Huang; Rui Tang; Stefan Leutenegger (BMVC, 2018)

CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. - Michael Bloesch; Jan Czarnowski; Ronald Clark; Stefan Leutenegger; Andrew J. Davison (CVPR, 2018)

Learning to Solve Nonlinear Least Squares for Monocular Stereo. - Ronald Clark; Michael Bloesch; Jan Czarnowski; Stefan Leutenegger; Andrew J. Davison (ECCV (8), 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)

End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks. - Sen Wang 002; Ronald Clark; Hongkai Wen 001; Niki Trigoni (Int. J. Robotics Res., 2018)

Learning Semantically Meaningful Embeddings Using Linear Constraints. - Shuyu Lin; Bo Yang 027; Robert Birke; Ronald Clark (CVPR Workshops, 2019)

Learning Meshes for Dense Visual SLAM. - Michael Bloesch; Tristan Laidlow; Ronald Clark; Stefan Leutenegger; Andrew J. Davison (ICCV, 2019)

X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion. - Andrea Nicastro; Ronald Clark; Stefan Leutenegger (ICCV, 2019)

WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. - Shuyu Lin; Ronald Clark; Robert Birke; Niki Trigoni; Stephen J. Roberts (DGS@ICLR, 2019)

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. - Bo Yang 027; Jianan Wang; Ronald Clark; Qingyong Hu; Sen Wang 002; Andrew Markham; Niki Trigoni (NeurIPS, 2019)

WiSE-VAE: Wide Sample Estimator VAE. - Shuyu Lin; Ronald Clark; Robert Birke; Niki Trigoni; Stephen J. Roberts (CoRR, 2019)

X-Section: Cross-section Prediction for Enhanced RGBD Fusion. - Andrea Nicastro; Ronald Clark; Stefan Leutenegger (CoRR, 2019)

Balancing Reconstruction Quality and Regularisation in ELBO for VAEs. - Shuyu Lin; Stephen J. Roberts; Niki Trigoni; Ronald Clark (CoRR, 2019)

Efficient Indoor Positioning with Visual Experiences via Lifelong Learning. - Hongkai Wen 001; Ronald Clark; Sen Wang 002; Xiaoxuan Lu 001; Bowen Du 002; Wen Hu 001; Niki Trigoni (IEEE Trans. Mob. Comput., 2019)

Towards Consistent Variational Auto-Encoding (Student Abstract). - Yijing Liu; Shuyu Lin; Ronald Clark (AAAI, 2020)

LaDDer: Latent Data Distribution Modelling with a Generative Prior. - Shuyu Lin; Ronald Clark (BMVC, 2020)

Scalable Uncertainty for Computer Vision With Functional Variational Inference. - Eduardo D. C. Carvalho; Ronald Clark; Andrea Nicastro; Paul H. J. Kelly (CVPR, 2020)

Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. - Shuyu Lin; Ronald Clark; Robert Birke; Sandro Schönborn; Niki Trigoni; Stephen J. Roberts (ICASSP, 2020)

Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. - Tristan Laidlow; Jan Czarnowski; Andrea Nicastro; Ronald Clark; Stefan Leutenegger (ICRA, 2020)

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. - Wei Wang 226; Bing Wang 013; Peijun Zhao; Changhao Chen; Ronald Clark; Bo Yang 027; Andrew Markham; Niki Trigoni (CoRR, 2020)

Learning To Find Shortest Collision-Free Paths From Images. - Michal Pándy; Daniel Lenton; Ronald Clark (CoRR, 2020)

DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. - Jan Czarnowski; Tristan Laidlow; Ronald Clark; Andrew J. Davison (IEEE Robotics Autom. Lett., 2020)

TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering. - Martin Piala; Ronald Clark (3DV, 2021)

Waypoint Planning Networks. - Alexandru-Iosif Toma; Hussein Ali Jaafar; Hao-Ya Hsueh; Stephen James; Daniel Lenton; Ronald Clark; Sajad Saeedi 001 (CRV, 2021)

End-to-End Egospheric Spatial Memory. - Daniel James Lenton; Stephen James; Ronald Clark; Andrew J. Davison (ICLR, 2021)

Unsupervised Path Regression Networks. - Michal Pándy; Daniel Lenton; Ronald Clark (IROS, 2021)

Ivy: Templated Deep Learning for Inter-Framework Portability. - Daniel Lenton; Fabio Pardo; Fabian Falck; Stephen James; Ronald Clark (CoRR, 2021)

Volumetric Bundle Adjustment for Online Photorealistic Scene Capture. - Ronald Clark (CVPR, 2022)

Uncertainty Estimation with a VAE-Classifier Hybrid Model. - Shuyu Lin; Ronald Clark; Niki Trigoni; Stephen J. Roberts (ICASSP, 2022)

Deep learning for 3D vision. - Yulan Guo; Hanyun Wang; Ronald Clark; Stefano Berretti; Mohammed Bennamoun (IET Comput. Vis., 2022)

Orientation Keypoints for 6D Human Pose Estimation. - Martin Fisch; Ronald Clark (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Tethered Perching for Aerial Robots. - Fabian Hauf; Basaran Bahadir Kocer; Alan Slatter; Hai-Nguyen Nguyen; Oscar Pang; Ronald Clark; Edward Johns; Mirko Kovac (ICRA, 2023)

Volumetric Cloud Field Reconstruction. - Jacob Lin; Miguel Farinha; Edward Gryspeerdt; Ronald Clark (CoRR, 2023)

Calibrated Uncertainties for Neural Radiance Fields. - Niki Amini-Naieni; Tomas Jakab; Andrea Vedaldi; Ronald Clark (CoRR, 2023)

Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. - Niki Amini-Naieni; Tomas Jakab; Andrea Vedaldi; Ronald Clark (ECCV (78), 2024)

DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications. - Nillan Nimal; Wenbin Li 002; Ronald Clark; Sajad Saeedi G. (CoRR, 2024)

DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion. - Yuanze Lin; Ronald Clark; Philip Torr 001 (CoRR, 2024)

EVCL: Elastic Variational Continual Learning with Weight Consolidation. - Hunar Batra; Ronald Clark (CoRR, 2024)

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge. - Yuanze Lin; Yunsheng Li; Dongdong Chen 001; Weijian Xu; Ronald Clark; Philip Torr 001; Lu Yuan (CoRR, 2024)

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. - Bradley C. A. Brown; Jordan Juravsky; Ryan Ehrlich; Ronald Clark; Quoc V. Le; Christopher Ré; Azalia Mirhoseini (CoRR, 2024)

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap. - Georgia Channing; Juil Sock; Ronald Clark; Philip Torr 001; Christian Schröder de Witt (CoRR, 2024)

MALT: Improving Reasoning with Multi-Agent LLM Training. - Sumeet Ramesh Motwani; Chandler Smith; Rocktim Jyoti Das; Markian Rybchuk; Philip H. S. Torr; Ivan Laptev; Fabio Pizzati; Ronald Clark; Christian Schröder de Witt (CoRR, 2024)

Olympus: A Universal Task Router for Computer Vision Tasks. - Yuanze Lin; Yunsheng Li; Dongdong Chen 001; Weijian Xu; Ronald Clark; Philip Torr 001 (CVPR, 2025)

Leaf Level Ash Dieback Disease Detection and Online Severity Estimation With UAVs. - Elizabeth Bates; Marija Popovic; Conor Marsh; Ronald Clark; Mirko Kovac; Basaran Bahadir Kocer (IEEE Access, 2025)

Metamorphic Forward Adaptation Network: Dynamically Adaptive and Modular Multi-layer Learning. - Yu Sun; Vijja Wichitwechkarn; Ronald Clark; Mirko Kovac; Basaran Bahadir Kocer (Trans. Mach. Learn. Res., 2025)

CodeMonkeys: Scaling Test-Time Compute for Software Engineering. - Ryan Ehrlich; Bradley C. A. Brown; Jordan Juravsky; Ronald Clark; Christopher Ré; Azalia Mirhoseini (CoRR, 2025)

XIRVIO: Critic-guided Iterative Refinement for Visual-Inertial Odometry with Explainable Adaptive Weighting. - Chit Yuen Lam; Ronald Clark; Basaran Bahadir Kocer (CoRR, 2025)

Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image. - Jerred Chen; Ronald Clark (CoRR, 2025)

Reducing Annotation Burden in Physical Activity Research Using Vision-Language Models. - Abram Schonfeldt; Benjamin Maylor; Xiaofang Chen; Ronald Clark; Aiden R. Doherty (CoRR, 2025)

IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation. - Yuanze Lin; Yi-Wen Chen; Yi-Hsuan Tsai; Ronald Clark; Ming-Hsuan Yang 001 (CoRR, 2025)

ForestVO: Enhancing Visual Odometry in Forest Environments Through ForestGlue. - Thomas Pritchard; Saifullah Ijaz; Ronald Clark; Basaran Bahadir Kocer (IEEE Robotics Autom. Lett., 2025)

Learning Agile Tensile Perching for Aerial Robots from Demonstrations. - Kangle Yuan; Atar Babgei; Luca Romanello; Hai-Nguyen Nguyen; Ronald Clark; Mirko Kovac; Sophie F. Armanini; Basaran Bahadir Kocer (CoRR, 2025)