| 2025 | CVPR | Olympus: A Universal Task Router for Computer Vision Tasks. | Yuanze Lin, Yunsheng Li, Dongdong Chen, Weijian Xu, Ronald Clark, Philip Torr |
| 2025 | ICCV | Image as an Imu: Estimating Camera Motion From a Single Motion-Blurred Image. | Jerred Chen, Ronald Clark |
| 2024 | ECCV | Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. | Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark |
| 2023 | ICRA | Learning Tethered Perching for Aerial Robots. | Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark, Edward Johns, Mirko Kovac |
| 2022 | CVPR | Volumetric Bundle Adjustment for Online Photorealistic Scene Capture. | Ronald Clark |
| 2022 | ICASSP | Uncertainty Estimation with a VAE-Classifier Hybrid Model. | Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts |
| 2021 | ICLR | End-to-End Egospheric Spatial Memory. | Daniel James Lenton, Stephen James, Ronald Clark, Andrew J. Davison |
| 2021 | IROS | Unsupervised Path Regression Networks. | Michal Pndy, Daniel Lenton, Ronald Clark |
| 2020 | AAAI | Towards Consistent Variational Auto-Encoding (Student Abstract). | Yijing Liu, Shuyu Lin, Ronald Clark |
| 2020 | BMVC | LaDDer: Latent Data Distribution Modelling with a Generative Prior. | Shuyu Lin, Ronald Clark |
| 2020 | CVPR | Scalable Uncertainty for Computer Vision With Functional Variational Inference. | Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly |
| 2020 | ICASSP | Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. | Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schnborn, Niki Trigoni, Stephen J. Roberts |
| 2020 | ICRA | Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. | Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger |
| 2019 | CVPR | Learning Semantically Meaningful Embeddings Using Linear Constraints. | Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark |
| 2019 | ICCV | Learning Meshes for Dense Visual SLAM. | Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison |
| 2019 | ICCV | X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion. | Andrea Nicastro, Ronald Clark, Stefan Leutenegger |
| 2019 | ICLR | WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. | Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts |
| 2018 | BMVC | 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 |
| 2018 | CVPR | CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. | Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison |
| 2018 | ECCV | Learning to Solve Nonlinear Least Squares for Monocular Stereo. | Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison |
| 2017 | AAAI | VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. | Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni |
| 2017 | CVPR | VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization. | Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen |
| 2017 | ICRA | DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks. | Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni |
| 2016 | IROS | Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern. | Sen Wang, Hongkai Wen, Ronald Clark, Niki Trigoni |