Ronald Clark
Associate Professor of Computer Science
Works at the intersection of 3D computer vision and graphics, including neural rendering, dense visual SLAM and 3D scene understanding.
Ronald Clark's lab at Oxford works on 3D vision & neural rendering, recognition, detection & segmentation and generative 3D & visual content. 20 papers since 2023, 11 at top venues, mostly NeurIPS and BMVC. 6 PhD students and 1 master's student. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 55%
- PhD students
- 6
- MS students
- 1
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 13 papers2025 · T1 6
- 3 papers2024 · T1 1
- 1 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, BMVC, CVPR, ECCV, ICCV
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering3 papers
- Recognition, detection & segmentation2 papers
- Generative 3D & visual content1 paper
- visual slam0 papers
- neural rendering0 papers
Paper list
From the lab homepage.
20263 papers
- Nature (T1)A benchmark of expert-level academic questions to assess AI capabilities (opens in a new tab)
- ICML (T1)Functional Attention: From Pairwise Affinities to Functional Correspondences (opens in a new tab)
- NeurIPS (T1)Multimodal Model Diffing for Feature Discovery and Control (opens in a new tab)
202513 papers
- BMVCCloud-Stereo: a dataset and benchmark for reconstructing atmospheric clouds from stereo images (opens in a new tab)
- NeurIPS (T1)Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution (opens in a new tab)
- RA-LForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlue (opens in a new tab)
- NeurIPS (T1)IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation (opens in a new tab)
- ICCV (T1)Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image (opens in a new tab)
- JGR: Machine Learning and ComputationMachine learning approximation for spectral wave models (opens in a new tab)
- COLMMALT: Improving Reasoning with Multi-Agent LLM Training (opens in a new tab)
- NeurIPS (T1)Measuring what Matters: Construct Validity in Large Language Model Benchmarks (opens in a new tab)
- TMLR (T1)MFAN: Dynamically Adaptive and Modular Multi-layer Learning (opens in a new tab)
- CVPR (T1)Olympus: A Universal Task Router for Computer Vision Tasks (opens in a new tab)
- Scientific ReportsReducing Annotation Burden in Physical Activity Research Using Vision-Language Models (opens in a new tab)
- NeurIPS SpaVLE WorkshopSpatialThinker: Reinforcing 3D Reasoning in Multimodal LLMs via Spatial Rewards (opens in a new tab)
20243 papers
- CRVDIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications (opens in a new tab)
- ICML-WSEVCL: Elastic Variational Continual Learning with Weight Consolidation (opens in a new tab)
- ECCV (T1)Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator (opens in a new tab)
20231 paper
Where alumni went4 listed
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
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- Lab homepage
Tiers are venue classifications, not lab rankings.
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