Ronald Clark

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 63

Top Topics

Top Venues

Publications

Yuanze Lin, Ronald Clark, Philip Torr
DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion. CoRR (2024)
Bradley C. A. Brown, Jordan Juravsky, Ryan Saul Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, Azalia Mirhoseini
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. CoRR (2024)
Hunar Batra, Ronald Clark
EVCL: Elastic Variational Continual Learning with Weight Consolidation. CoRR (2024)
Yuanze Lin, Yunsheng Li, Dongdong Chen, Weijian Xu, Ronald Clark, Philip Torr, Lu Yuan
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge. CoRR (2024)
Nillan Nimal, Wenbin Li, Ronald Clark, Sajad Saeedi G.
DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications. CoRR (2024)
Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark, Edward Johns, Mirko Kovac
Learning Tethered Perching for Aerial Robots. ICRA (2023)
Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark
Calibrated Uncertainties for Neural Radiance Fields. CoRR (2023)
Jacob Lin, Miguel Farinha, Edward Gryspeerdt, Ronald Clark
Volumetric Cloud Field Reconstruction. CoRR (2023)
Martin Fisch, Ronald Clark
Orientation Keypoints for 6D Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Yulan Guo, Hanyun Wang, Ronald Clark, Stefano Berretti, Mohammed Bennamoun
Deep learning for 3D vision. IET Comput. Vis. 16 (7) (2022)
Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger
Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. CoRR (2022)
Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts
Uncertainty Estimation with a VAE-Classifier Hybrid Model. ICASSP (2022)
Ronald Clark
Volumetric Bundle Adjustment for Online Photorealistic Scene Capture. CVPR (2022)
Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi
Waypoint Planning Networks. CoRR (2021)
Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark
Ivy: Templated Deep Learning for Inter-Framework Portability. CoRR (2021)
Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi
Waypoint Planning Networks. CRV (2021)
Daniel James Lenton, Stephen James, Ronald Clark, Andrew J. Davison
End-to-End Egospheric Spatial Memory. ICLR (2021)
Martin Piala, Ronald Clark
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering. 3DV (2021)
Michal Pándy, Daniel Lenton, Ronald Clark
Unsupervised Path Regression Networks. IROS (2021)
Martin Piala, Ronald Clark
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering. CoRR (2021)
Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison
End-to-End Egospheric Spatial Memory. CoRR (2021)
Shuyu Lin, Ronald Clark
LaDDer: Latent Data Distribution Modelling with a Generative Prior. CoRR (2020)
Martin Fisch, Ronald Clark
Orientation Keypoints for 6D Human Pose Estimation. CoRR (2020)
Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. CoRR (2020)
Yijing Liu, Shuyu Lin, Ronald Clark
Towards Consistent Variational Auto-Encoding (Student Abstract). AAAI (2020)
Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger
Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. ICRA (2020)
Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly
Scalable Uncertainty for Computer Vision with Functional Variational Inference. CoRR (2020)
Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly
Scalable Uncertainty for Computer Vision With Functional Variational Inference. CVPR (2020)
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. IEEE Robotics Autom. Lett. 5 (2) (2020)
Michal Pándy, Daniel Lenton, Ronald Clark
Learning To Find Shortest Collision-Free Paths From Images. CoRR (2020)
Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schönborn, Niki Trigoni, Stephen J. Roberts
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. ICASSP (2020)
Shuyu Lin, Ronald Clark
LaDDer: Latent Data Distribution Modelling with a Generative Prior. BMVC (2020)
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. CoRR (2020)
Andrea Nicastro, Ronald Clark, Stefan Leutenegger
X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion. ICCV (2019)
Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. CoRR (2019)
Hongkai Wen, Ronald Clark, Sen Wang, Xiaoxuan Lu, Bowen Du, Wen Hu, Niki Trigoni
Efficient Indoor Positioning with Visual Experiences via Lifelong Learning. IEEE Trans. Mob. Comput. 18 (4) (2019)
Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts
WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. DGS@ICLR (2019)
Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts
WiSE-VAE: Wide Sample Estimator VAE. CoRR (2019)
Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
Learning Meshes for Dense Visual SLAM. ICCV (2019)
Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. NeurIPS (2019)
Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark
Learning Semantically Meaningful Embeddings Using Linear Constraints. CVPR Workshops (2019)
Andrea Nicastro, Ronald Clark, Stefan Leutenegger
X-Section: Cross-section Prediction for Enhanced RGBD Fusion. CoRR (2019)
Shuyu Lin, Stephen J. Roberts, Niki Trigoni, Ronald Clark
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs. CoRR (2019)
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
Fusion++: Volumetric Object-Level SLAM. 3DV (2018)
Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. CoRR (2018)
Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. BMVC (2018)
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
Fusion++: Volumetric Object-Level SLAM. CoRR (2018)
Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni
End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks. Int. J. Robotics Res. 37 (4-5) (2018)
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CoRR (2018)
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
Learning to Solve Nonlinear Least Squares for Monocular Stereo. ECCV (8) (2018)
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CVPR (2018)
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. CoRR (2018)
Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization. CVPR (2017)
Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
3D Object Reconstruction from a Single Depth View with Adversarial Learning. CoRR (2017)
Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks. CoRR (2017)
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. CoRR (2017)
Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni
DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks. ICRA (2017)
Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
3D Object Reconstruction from a Single Depth View with Adversarial Learning. ICCV Workshops (2017)
Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen
VidLoc: 6-DoF Video-Clip Relocalization. CoRR (2017)
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. AAAI (2017)
Sen Wang, Hongkai Wen, Ronald Clark, Niki Trigoni
Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern. IROS (2016)
Ronald Clark, Sen Wang, Hongkai Wen, Niki Trigoni, Andrew Markham
Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data. CoRR (2016)
Ronald Clark, Sen Wang, Hongkai Wen, Niki Trigoni, Andrew Markham
Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data. Humanoids (2016)
Ronald Clark, Niki Trigoni, Andrew Markham
Robust vision-based indoor localization. IPSN (2015)
Ronald Clark, Quik Kung, Anton van Wyk
System for the recognition of online handwritten mathematical expressions. EUROCON (2013)