Iro Laina
Departmental Lecturer in Computer Vision
Develops perception systems for images, videos and the 3D world using unsupervised and language-supervised learning.
Iro Laina's lab at Oxford works on 3D vision & neural rendering, video understanding and robot perception & SLAM. 22 papers since 2023, 14 at top venues, mostly 3DV and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 64%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 2 · collecting
- 6 papers2025 · T1 3
- 10 papers2024 · T1 8
- 2 papers2023 · T1 1
T1 venuesOtherVenues: 3DV, CVPR, NeurIPS, ECCV, ACCV
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering2 papers
- Video understanding2 papers
- videos2 papers
- Robot perception & SLAM0 papers
- develops perception0 papers
Paper list
From the lab homepage.
20264 papers
- NeurIPS (T1)AutoPartGen: autogressive 3D part generation and discovery
- 3DVLearning Compact 3D Gaussians via Feed-Forward Point Fusion (opens in a new tab)
- 3DVReflect3r: single-view 3D stereo reconstruction aided by mirror reflections (opens in a new tab)
- ICLR (T1)What happens next? Anticipating future motion by generating point trajectories
20256 papers
- ICCV (T1)AnimalClue: Recognizing Animals by their Traces (opens in a new tab)
- 3DVInvisible stitch: generating smooth 3D scenes with depth inpainting (opens in a new tab)
- CVPR (T1)Layered motion fusion: lifting motion segmentation to 3D in egocentric videos (opens in a new tab)
- NeurIPS (T1)Learning segmentation from point trajectories
- —Rethinking Image Super-Resolution from Training Data Perspectives (opens in a new tab)
- —Scaling Backwards: Minimal Synthetic Pre-Training? (opens in a new tab)
202410 papers
- ACCV3D-aware instance segmentation and tracking in egocentric videos (opens in a new tab)
- NeurIPS (T1)Contrastive lift: 3D object instance segmentation by slow-fast contrastive fusion
- ECCV (T1)DGE: direct gaussian 3D editing by consistent multi-view editing (opens in a new tab)
- ECCV (T1)Diffusion models for open-vocabulary segmentation (opens in a new tab)
- NeurIPS (T1)EPIC Fields: marrying 3D geometry and video understanding
- ICML (T1)IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
- ECCV (T1)N2F2: hierarchical scene understanding with nested neural feature fields (opens in a new tab)
- CVPR (T1)PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models
- CVPR (T1)SHAP-EDITOR: instruction-guided latent 3D editing in seconds (opens in a new tab)
- WACVTraining-free layout control with cross-attention guidance (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
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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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
- Members
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- Alumni
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