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Ronald Clark

13 papers · 2017–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (35) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (73) πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze

Venues

CVPR (5) ICCV (3) ECCV (2) AAAI (1) ICLR (1) NeurIPS (1)

Top co-authors

Stefan Leutenegger (4) Michael Bloesch (3) Andrew J. Davison (3) Jan Czarnowski (2) Niki Trigoni (2) Sen Wang (2) Andrea Nicastro (2) Andrew Markham (2) Dongdong Chen (1) Niki Amini-Naieni (1)

Research topics

Computer Vision (9) Deep Learning (7) Analysis (7) Machine Learning (5) Artificial Intelligence (4) Models (4) Processing (4) Architectures (3) Core AI (3) Core Methods (3) Optimization & Theory (3) Computer Science (2) Applications (2) Bayesian & Probabilistic (2) Reinforcement Learning (1)

Keywords

3d reconstruction (3) semantic segmentation (3) depth estimation (3) computer vision (2) variational inference (2) visual slam (2) convolutional neural network (2) scene reconstruction (1) motion blur (1) imitation learning (1) point cloud (1) object detection (1) approximate inference (1) instance segmentation (1) velocity estimation (1) gaussian process (1) posterior distribution (1) uncertainty quantification (1) 3d object detection (1) representation learning (1)

Papers

Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image ICCV 2025 Olympus: A Universal Task Router for Computer Vision Tasks CVPR 2025 Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator ECCV 2024 Volumetric Bundle Adjustment for Online Photorealistic Scene Capture CVPR 2022 End-to-End Egospheric Spatial Memory ICLR 2021 Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020 Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020 Learning Meshes for Dense Visual SLAM ICCV 2019 Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds NeurIPS 2019 X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion ICCV 2019 CodeSLAM β€” Learning a Compact, Optimisable Representation for Dense Visual SLAM CVPR 2018 Learning to Solve Nonlinear Least Squares for Monocular Stereo ECCV 2018 VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization CVPR 2017