Recent Publications


F. Hauf, B. Kocer, H. Nguyen, O. Pang, R. Clark, E. Johns, and M. Kovac, "Learning Tethered Perching for Aerial Robots",
International Conference on Robotics and Automation (ICRA) , 2022
R. Clark, "Volumetric Bundle Adjustment for Photorealistic Scene Capture",
IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR) , 2022
M. Piala and R. Clark, "TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering",
International conference on 3D vision (3DV) , 2021
M. Fisch and R. Clark, "Orientation Keypoints for 6D Human Pose Estimation",
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2021
M. Pandy, D. Lenton, and R. Clark, "Unsupervised Path Regression Networks",
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2021
D. Lenton, S. James, R. Clark, and A. Davison, "End-to-End Egospheric Spatial Memory",
International Conference on Learning Representations (ICLR) , 2021
D. Lenton, F. Pardo, F. Falck, S. James, and R. Clark, "Ivy: Templated Deep Learning for Inter-Framework Portability",
arxiv preprint , 2020
A. Toma, H. Jafar, H. Hsueh, S. James, D. Lenton, R. Clark, and S. Saeedi, "Waypoint Planning Networks",
Conference on Robots and Vision (CRV) , 2020
S. Lin, R. Clark, R. Birke, S. Schonborn, N. Trigoni, and S. Roberts, "Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model",
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2020
S. Lin and R. Clark, "LaDDer: Latent Data Distribution Modelling with a Generative Prior",
British Machine Vision Conference, (BMVC) , 2020
E. D. Carvalho, R. Clark, A. Nicastro, and P. H. Kelly, "Scalable Uncertainty for Computer Vision with Functional Variational Inference",
IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR) , 2020
T. Laidlow, J. Czarnowski, A. Nicastro, R. Clark, and S. Leutenegger, "Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction",
IEEE Conference on Robotics and Automation (ICRA) , 2020
J. Czarnowski, T. Laidlow, R. Clark, and A. Davison, "DeepFactors: Real-Time Probabilistic Dense Monocular SLAM",
IEEE Robotics and Automation Letters (RAL) , 2019
B. Yang, J. Wang, R. Clark, Q. Hu, S. Wang, A. Markham, and N. Trigoni, "Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds",
Advances in Neural Information Processing Systems (NeurIPS) , 2019
A. Nicastro, R. Clark, and S. Leutenegger, "X-Section: Cross-section Prediction for Enhanced RGBD Fusion",
IEEE International Conference on Computer Vision, (ICCV) , 2019
M. Bloesch, T. Laidlow, R. Clark, S. Leutenegger, and A. Davison, "Learning Meshes for Dense Visual SLAM",
IEEE International Conference on Computer Vision, (ICCV) , 2019
R. Clark, M. Bloesch, J. Czarnowski, S. Leutenegger, and A.J. Davison, "Learning to Solve Nonlinear Least Squares for Monocular Stereo",
IEEE European Conference on Computer Vision, (ECCV) , 2018
John McCormac, R. Clark, M. Bloesch, A.J. Davison, and S. Leutenegger, "Fusion++: Volumetric Object-Level SLAM",
International Conference on 3D Vision, (3DV) , 2018
W. Li, S. Saeedi, J. McCormac, R. Clark, D. Tzoumanikas, Q. Ye, Y. Huang, R. Tang, and S. Leutenegger, "InteriorNet: A Mega-Scale Dataset of Photo-Realistically Rendered Indoor Scenes",
British Machine Vision Conference, (BMVC) , 2018
M. Bloesch, J. Czarnowski, R. Clark, S. Leutenegger, and A.J. Davison, "CodeSLAM -- Learning a Compact, Optimisable Representation for Dense Visual SLAM",
IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR) , 2018