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ORCIDRonald Clark
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2020 – today
- 2024
[c30]Niki Amini-Naieni
, Tomas Jakab, Andrea Vedaldi, Ronald Clark:
Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. ECCV (78) 2024: 309-324- [i32]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 abs/2402.11836 (2024) - [i31]Yuanze Lin, Ronald Clark, Philip Torr:
DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion. CoRR abs/2403.17237 (2024) - [i30]Hunar Batra, Ronald Clark:
EVCL: Elastic Variational Continual Learning with Weight Consolidation. CoRR abs/2406.15972 (2024) - [i29]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 abs/2407.04681 (2024) - [i28]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 abs/2407.21787 (2024) - [i27]Georgia Channing, Juil Sock, Ronald Clark, Philip Torr, Christian Schröder de Witt:
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap. CoRR abs/2410.07436 (2024) - 2023
- [c29]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: 1298-1304 - [i26]Jacob Lin, Miguel Farinha, Edward Gryspeerdt, Ronald Clark:
Volumetric Cloud Field Reconstruction. CoRR abs/2311.17657 (2023) - [i25]Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark:
Calibrated Uncertainties for Neural Radiance Fields. CoRR abs/2312.02350 (2023) - 2022
- [j5]Yulan Guo, Hanyun Wang, Ronald Clark, Stefano Berretti, Mohammed Bennamoun:
Deep learning for 3D vision. IET Comput. Vis. 16(7): 567-569 (2022) - [j4]Martin Fisch, Ronald Clark:
Orientation Keypoints for 6D Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10145-10158 (2022) - [c28]Ronald Clark:
Volumetric Bundle Adjustment for Online Photorealistic Scene Capture. CVPR 2022: 6114-6122 - [c27]Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts:
Uncertainty Estimation with a VAE-Classifier Hybrid Model. ICASSP 2022: 3548-3552 - [i24]Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger:
Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. CoRR abs/2207.13464 (2022) - 2021
- [c26]Martin Piala, Ronald Clark:
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering. 3DV 2021: 1106-1114 - [c25]Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi:
Waypoint Planning Networks. CRV 2021: 87-94 - [c24]Daniel James Lenton, Stephen James, Ronald Clark, Andrew J. Davison:
End-to-End Egospheric Spatial Memory. ICLR 2021 - [c23]Michal Pándy, Daniel Lenton, Ronald Clark:
Unsupervised Path Regression Networks. IROS 2021: 1413-1420 - [i23]Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark:
Ivy: Templated Deep Learning for Inter-Framework Portability. CoRR abs/2102.02886 (2021) - [i22]Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison:
End-to-End Egospheric Spatial Memory. CoRR abs/2102.07764 (2021) - [i21]Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi:
Waypoint Planning Networks. CoRR abs/2105.00312 (2021) - [i20]Martin Piala, Ronald Clark:
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering. CoRR abs/2111.03643 (2021) - 2020
- [j3]Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison:
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. IEEE Robotics Autom. Lett. 5(2): 721-728 (2020) - [c22]Yijing Liu, Shuyu Lin, Ronald Clark:
Towards Consistent Variational Auto-Encoding (Student Abstract). AAAI 2020: 13869-13870 - [c21]Shuyu Lin, Ronald Clark:
LaDDer: Latent Data Distribution Modelling with a Generative Prior. BMVC 2020 - [c20]Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly:
Scalable Uncertainty for Computer Vision With Functional Variational Inference. CVPR 2020: 12000-12010 - [c19]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: 4322-4326 - [c18]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: 7373-7379 - [i19]Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison:
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. CoRR abs/2001.05049 (2020) - [i18]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 abs/2003.02392 (2020) - [i17]Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly:
Scalable Uncertainty for Computer Vision with Functional Variational Inference. CoRR abs/2003.03396 (2020) - [i16]Shuyu Lin, Ronald Clark:
LaDDer: Latent Data Distribution Modelling with a Generative Prior. CoRR abs/2009.00088 (2020) - [i15]Martin Fisch, Ronald Clark:
Orientation Keypoints for 6D Human Pose Estimation. CoRR abs/2009.04930 (2020) - [i14]Michal Pándy, Daniel Lenton, Ronald Clark:
Learning To Find Shortest Collision-Free Paths From Images. CoRR abs/2011.14787 (2020)
2010 – 2019
- 2019
- [j2]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): 814-829 (2019) - [c17]Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark:
Learning Semantically Meaningful Embeddings Using Linear Constraints. CVPR Workshops 2019: 53-56 - [c16]Andrea Nicastro, Ronald Clark, Stefan Leutenegger:
X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion. ICCV 2019: 1517-1526 - [c15]Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
Learning Meshes for Dense Visual SLAM. ICCV 2019: 5854-5863 - [c14]Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts:
WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. DGS@ICLR 2019 - [c13]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: 6737-6746 - [i13]Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts:
WiSE-VAE: Wide Sample Estimator VAE. CoRR abs/1902.06160 (2019) - [i12]Andrea Nicastro, Ronald Clark, Stefan Leutenegger:
X-Section: Cross-section Prediction for Enhanced RGBD Fusion. CoRR abs/1903.00987 (2019) - [i11]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 abs/1906.01140 (2019) - [i10]Shuyu Lin, Stephen J. Roberts, Niki Trigoni, Ronald Clark:
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs. CoRR abs/1909.03765 (2019) - 2018
- [j1]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): 513-542 (2018) - [c12]John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
Fusion++: Volumetric Object-Level SLAM. 3DV 2018: 32-41 - [c11]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: 77 - [c10]Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CVPR 2018: 2560-2568 - [c9]Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
Learning to Solve Nonlinear Least Squares for Monocular Stereo. ECCV (8) 2018: 291-306 - [i9]Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CoRR abs/1804.00874 (2018) - [i8]John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
Fusion++: Volumetric Object-Level SLAM. CoRR abs/1808.08378 (2018) - [i7]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 abs/1809.00716 (2018) - [i6]Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. CoRR abs/1809.02966 (2018) - 2017
- [b1]Ronald Clark:
Visual-inertial odometry, mapping and re-localization through learning. University of Oxford, UK, 2017 - [c8]Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni:
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. AAAI 2017: 3995-4001 - [c7]Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen:
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization. CVPR 2017: 2652-2660 - [c6]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: 679-688 - [c5]Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni:
DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks. ICRA 2017: 2043-2050 - [i5]Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni:
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. CoRR abs/1701.08376 (2017) - [i4]Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen:
VidLoc: 6-DoF Video-Clip Relocalization. CoRR abs/1702.06521 (2017) - [i3]Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni:
3D Object Reconstruction from a Single Depth View with Adversarial Learning. CoRR abs/1708.07969 (2017) - [i2]Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni:
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks. CoRR abs/1709.08429 (2017) - 2016
- [c4]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: 973-980 - [c3]Sen Wang, Hongkai Wen, Ronald Clark, Niki Trigoni:
Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern. IROS 2016: 1910-1917 - [i1]Ronald Clark, Sen Wang, Hongkai Wen, Niki Trigoni, Andrew Markham:
Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data. CoRR abs/1612.09257 (2016) - 2015
- [c2]Ronald Clark, Niki Trigoni, Andrew Markham:
Robust vision-based indoor localization. IPSN 2015: 378-379 - 2013
- [c1]Ronald Clark, Quik Kung, Anton van Wyk:
System for the recognition of online handwritten mathematical expressions. EUROCON 2013: 2029-2035
Coauthor Index
aka: Niki Trigoni
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