Ronald Clark - RankMe

86 papers A* 14A 4Misc 2Journal 54Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reg4Pru: Regularisation Through Random Token Routing for Token Pruning. CoRR Julian Wyatt, Ronald Clark, Irina Voiculescu
2026	J	`jnl`	Towards Understanding Multimodal Fine-Tuning: Spatial Features. CoRR Lachin Naghashyar, Hunar Batra, Ashkan Khakzar, Philip Torr, Ronald Clark, Christian Schroeder de Witt, Constantin Venhoff
2025	J	`jnl`	Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution. CoRR Jacob Lin, Edward Gryspeerdt, Ronald Clark
2025	J	`jnl`	CodeMonkeys: Scaling Test-Time Compute for Software Engineering. CoRR Ryan Ehrlich, Bradley C. A. Brown, Jordan Juravsky, Ronald Clark, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	ForestVO: Enhancing Visual Odometry in Forest Environments Through ForestGlue. IEEE Robotics Autom. Lett. Thomas Pritchard, Saifullah Ijaz, Ronald Clark, Basaran Bahadir Kocer
2025	J	`jnl`	ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlue. CoRR Thomas Pritchard, Saifullah Ijaz, Ronald Clark, Basaran Bahadir Kocer
2025	J	`jnl`	IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation. CoRR Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Ronald Clark, Ming-Hsuan Yang
2025	J	`jnl`	Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image. CoRR Jerred Chen, Ronald Clark
2025	J	`jnl`	Leaf Level Ash Dieback Disease Detection and Online Severity Estimation With UAVs. IEEE Access Elizabeth Bates, Marija Popovic, Conor Marsh, Ronald Clark, Mirko Kovac, Basaran Bahadir Kocer
2025	J	`jnl`	Learning Agile Tensile Perching for Aerial Robots from Demonstrations. CoRR Kangle Yuan, Atar Babgei, Luca Romanello, Hai-Nguyen Nguyen, Ronald Clark, Mirko Kovac, Sophie F. Armanini, Basaran Bahadir Kocer
2025	J	`jnl`	Measuring what Matters: Construct Validity in Large Language Model Benchmarks. CoRR Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob N. Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip H. S. Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi
2025	J	`jnl`	Metamorphic Forward Adaptation Network: Dynamically Adaptive and Modular Multi-layer Learning. Trans. Mach. Learn. Res. Yu Sun, Vijja Wichitwechkarn, Ronald Clark, Mirko Kovac, Basaran Bahadir Kocer
2025	A*	`conf`	Olympus: A Universal Task Router for Computer Vision Tasks. CVPR Yuanze Lin, Yunsheng Li, Dongdong Chen, Weijian Xu, Ronald Clark, Philip Torr
2025	J	`jnl`	Reducing Annotation Burden in Physical Activity Research Using Vision-Language Models. CoRR Abram Schonfeldt, Benjamin Maylor, Xiaofang Chen, Ronald Clark, Aiden R. Doherty
2025	J	`jnl`	SpatialThinker: Reinforcing 3D Reasoning in Multimodal LLMs via Spatial Rewards. CoRR Hunar Batra, Haoqin Tu, Hardy Chen, Yuanze Lin, Cihang Xie, Ronald Clark
2025	J	`jnl`	XIRVIO: Critic-guided Iterative Refinement for Visual-Inertial Odometry with Explainable Adaptive Weighting. CoRR Chit Yuen Lam, Ronald Clark, Basaran Bahadir Kocer
2024	J	`jnl`	DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications. CoRR Nillan Nimal, Wenbin Li, Ronald Clark, Sajad Saeedi G.
2024	J	`jnl`	DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion. CoRR Yuanze Lin, Ronald Clark, Philip Torr
2024	J	`jnl`	EVCL: Elastic Variational Continual Learning with Weight Consolidation. CoRR Hunar Batra, Ronald Clark
2024	—	`conf`	Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. ECCV (78) Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark
2024	J	`jnl`	Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. CoRR Bradley C. A. Brown, Jordan Juravsky, Ryan Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, Azalia Mirhoseini
2024	J	`jnl`	MALT: Improving Reasoning with Multi-Agent LLM Training. CoRR Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das, Markian Rybchuk, Philip H. S. Torr, Ivan Laptev, Fabio Pizzati, Ronald Clark, Christian Schröder de Witt
2024	J	`jnl`	Olympus: A Universal Task Router for Computer Vision Tasks. CoRR Yuanze Lin, Yunsheng Li, Dongdong Chen, Weijian Xu, Ronald Clark, Philip H. S. Torr
2024	J	`jnl`	Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge. CoRR Yuanze Lin, Yunsheng Li, Dongdong Chen, Weijian Xu, Ronald Clark, Philip Torr, Lu Yuan
2024	J	`jnl`	Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap. CoRR Georgia Channing, Juil Sock, Ronald Clark, Philip Torr, Christian Schröder de Witt
2023	J	`jnl`	Calibrated Uncertainties for Neural Radiance Fields. CoRR Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark
2023	A*	`conf`	Learning Tethered Perching for Aerial Robots. ICRA Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark, Edward Johns, Mirko Kovac
2023	J	`jnl`	Volumetric Cloud Field Reconstruction. CoRR Jacob Lin, Miguel Farinha, Edward Gryspeerdt, Ronald Clark
2022	J	`jnl`	Deep learning for 3D vision. IET Comput. Vis. Yulan Guo, Hanyun Wang, Ronald Clark, Stefano Berretti, Mohammed Bennamoun
2022	J	`jnl`	Orientation Keypoints for 6D Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Martin Fisch, Ronald Clark
2022	J	`jnl`	Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. CoRR Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger
2022	Misc	`conf`	Uncertainty Estimation with a VAE-Classifier Hybrid Model. ICASSP Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts
2022	A*	`conf`	Volumetric Bundle Adjustment for Online Photorealistic Scene Capture. CVPR Ronald Clark
2021	A*	`conf`	End-to-End Egospheric Spatial Memory. ICLR Daniel James Lenton, Stephen James, Ronald Clark, Andrew J. Davison
2021	J	`jnl`	End-to-End Egospheric Spatial Memory. CoRR Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison
2021	J	`jnl`	Ivy: Templated Deep Learning for Inter-Framework Portability. CoRR Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark
2021	—	`conf`	TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering. 3DV Martin Piala, Ronald Clark
2021	J	`jnl`	TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering. CoRR Martin Piala, Ronald Clark
2021	A	`conf`	Unsupervised Path Regression Networks. IROS Michal Pándy, Daniel Lenton, Ronald Clark
2021	—	`conf`	Waypoint Planning Networks. CRV Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi
2021	J	`jnl`	Waypoint Planning Networks. CoRR Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi
2020	Misc	`conf`	Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. ICASSP Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schönborn, Niki Trigoni, Stephen J. Roberts
2020	J	`jnl`	DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. CoRR Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
2020	J	`jnl`	DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. IEEE Robotics Autom. Lett. Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
2020	A	`conf`	LaDDer: Latent Data Distribution Modelling with a Generative Prior. BMVC Shuyu Lin, Ronald Clark
2020	J	`jnl`	LaDDer: Latent Data Distribution Modelling with a Generative Prior. CoRR Shuyu Lin, Ronald Clark
2020	J	`jnl`	Learning To Find Shortest Collision-Free Paths From Images. CoRR Michal Pándy, Daniel Lenton, Ronald Clark
2020	J	`jnl`	Orientation Keypoints for 6D Human Pose Estimation. CoRR Martin Fisch, Ronald Clark
2020	J	`jnl`	PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. CoRR Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni
2020	A*	`conf`	Scalable Uncertainty for Computer Vision With Functional Variational Inference. CVPR Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly
2020	J	`jnl`	Scalable Uncertainty for Computer Vision with Functional Variational Inference. CoRR Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly
2020	A*	`conf`	Towards Consistent Variational Auto-Encoding (Student Abstract). AAAI Yijing Liu, Shuyu Lin, Ronald Clark
2020	A*	`conf`	Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. ICRA Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger
2019	J	`jnl`	Balancing Reconstruction Quality and Regularisation in ELBO for VAEs. CoRR Shuyu Lin, Stephen J. Roberts, Niki Trigoni, Ronald Clark
2019	J	`jnl`	Efficient Indoor Positioning with Visual Experiences via Lifelong Learning. IEEE Trans. Mob. Comput. Hongkai Wen, Ronald Clark, Sen Wang, Xiaoxuan Lu, Bowen Du, Wen Hu, Niki Trigoni
2019	A*	`conf`	Learning Meshes for Dense Visual SLAM. ICCV Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
2019	A*	`conf`	Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. NeurIPS Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
2019	J	`jnl`	Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. CoRR Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
2019	—	`conf`	Learning Semantically Meaningful Embeddings Using Linear Constraints. CVPR Workshops Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark
2019	—	`conf`	WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. DGS@ICLR Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts
2019	J	`jnl`	WiSE-VAE: Wide Sample Estimator VAE. CoRR Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts
2019	A*	`conf`	X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion. ICCV Andrea Nicastro, Ronald Clark, Stefan Leutenegger
2019	J	`jnl`	X-Section: Cross-section Prediction for Enhanced RGBD Fusion. CoRR Andrea Nicastro, Ronald Clark, Stefan Leutenegger
2018	A*	`conf`	CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CVPR Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
2018	J	`jnl`	CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CoRR Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
2018	J	`jnl`	End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks. Int. J. Robotics Res. Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni
2018	—	`conf`	Fusion++: Volumetric Object-Level SLAM. 3DV John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
2018	J	`jnl`	Fusion++: Volumetric Object-Level SLAM. CoRR John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
2018	A	`conf`	InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. BMVC Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger
2018	J	`jnl`	InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. CoRR Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger
2018	J	`jnl`	LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. CoRR Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
2018	—	`conf`	Learning to Solve Nonlinear Least Squares for Monocular Stereo. ECCV (8) Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
2017	—	`conf`	3D Object Reconstruction from a Single Depth View with Adversarial Learning. ICCV Workshops Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
2017	J	`jnl`	3D Object Reconstruction from a Single Depth View with Adversarial Learning. CoRR Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
2017	J	`jnl`	DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks. CoRR Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni
2017	A*	`conf`	DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks. ICRA Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni
2017	A*	`conf`	VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. AAAI Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni
2017	J	`jnl`	VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem. CoRR Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni
2017	J	`jnl`	VidLoc: 6-DoF Video-Clip Relocalization. CoRR Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen
2017	A*	`conf`	VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization. CVPR Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen
2017	—	`—`	Visual-inertial odometry, mapping and re-localization through learning. Ronald Clark
2016	J	`jnl`	Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data. CoRR Ronald Clark, Sen Wang, Hongkai Wen, Niki Trigoni, Andrew Markham
2016	—	`conf`	Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data. Humanoids Ronald Clark, Sen Wang, Hongkai Wen, Niki Trigoni, Andrew Markham
2016	A	`conf`	Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern. IROS Sen Wang, Hongkai Wen, Ronald Clark, Niki Trigoni
2015	—	`conf`	Robust vision-based indoor localization. IPSN Ronald Clark, Niki Trigoni, Andrew Markham
2013	—	`conf`	System for the recognition of online handwritten mathematical expressions. EUROCON Ronald Clark, Quik Kung, Anton van Wyk