Oisin Mac Aodha
Reader
Researches computer vision and machine learning, with emphasis on 3D understanding, human-in-the-loop methods and AI for biodiversity monitoring.
Oisin Mac Aodha's lab at Edinburgh works on 3D vision & neural rendering. 36 papers since 2023, 29 at top venues, mostly CVPR and NeurIPS. 11 PhD students. 5 alumni.
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 81%
- PhD students
- 11
- MS students
- 0
- alumni listed
- 5
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 4 · collecting
- 13 papers2025 · T1 13
- 12 papers2024 · T1 8
- 5 papers2023 · T1 4
T1 venuesOtherVenues: CVPR, NeurIPS, ECCV, ICCV, ICML
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering5 papers
- human-in-the-loop0 papers
- emphasis0 papers
- monitoring0 papers
- researches computer0 papers
Paper list
From DBLP.
20266 papers
- CVPR (T1)BiMotion: B-spline Motion for Text-guided Dynamic 3D Character Generation (opens in a new tab)
- ECCV (T1)Bootstrapping Articulated 3D Reconstruction from 2D Image Collections (opens in a new tab)
- Ecol. InformaticsINQUIRE-Search: Interactive discovery in large-scale biodiversity databases (opens in a new tab)
- Ecol. InformaticsLarge language models possess some ecological knowledge, but how much? (opens in a new tab)
- AAAI (T1)MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation (opens in a new tab)
- ICRA (T1)The Temporal Trap: Entanglement in Pre-Trained Visual Representations for Visuomotor Policy Learning (opens in a new tab)
202513 papers
- NeurIPS (T1)CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing (opens in a new tab)
- CVPR (T1)CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections (opens in a new tab)
- CVPR (T1)DepthCues: Evaluating Monocular Depth Perception in Large Vision Models (opens in a new tab)
- NeurIPS (T1)Enhancing Tactile-based Reinforcement Learning for Robotic Control (opens in a new tab)
- ICML (T1)Feedforward Few-shot Species Range Estimation (opens in a new tab)
- NeurIPS (T1)Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence (opens in a new tab)
- CVPR (T1)MVSAnywhere: Zero-Shot Multi-View Stereo (opens in a new tab)
- NeurIPS (T1)Representational Difference Explanations (opens in a new tab)
- ICLR (T1)Representational Similarity via Interpretable Visual Concepts (opens in a new tab)
- TPAMI (T1)Self-Supervised Multimodal Learning: A Survey (opens in a new tab)
- NeurIPS (T1)The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements (opens in a new tab)
- MICCAI (T1)VesselSDF: Distance Field Priors for Vascular Network Reconstruction (opens in a new tab)
202412 papers
- CVPR (T1)AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings (opens in a new tab)
- IROS (T1)Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors (opens in a new tab)
- NeurIPS (T1)Combining Observational Data and Language for Species Range Estimation (opens in a new tab)
- CVPR WorkshopEnhancing 2D Representation Learning with a 3D Prior (opens in a new tab)
- CVPR (T1)From Coarse to Fine-Grained Open-Set Recognition (opens in a new tab)
- ECCV WorkshopGenerating Binary Species Range Maps (opens in a new tab)
- CVPR WorkshopGeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions (opens in a new tab)
- CVPR (T1)Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps (opens in a new tab)
- NeurIPS (T1)INQUIRE: A Natural World Text-to-Image Retrieval Benchmark (opens in a new tab)
- ECCV (T1)Labeled Data Selection for Category Discovery (opens in a new tab)
- CVPR (T1)SAOR: Single-View Articulated Object Reconstruction (opens in a new tab)
- Trans. Mach. Learn. Res.Vision Learners Meet Web Image-Text Pairs (opens in a new tab)
20235 papers
- NeurIPS (T1)Active Learning-Based Species Range Estimation (opens in a new tab)
- WACVHeightfields for Efficient Scene Reconstruction for AR (opens in a new tab)
- ICCV (T1)Incremental Generalized Category Discovery (opens in a new tab)
- ICML (T1)Spatial Implicit Neural Representations for Global-Scale Species Mapping (opens in a new tab)
- CVPR (T1)Virtual Occlusions Through Implicit Depth (opens in a new tab)
Where alumni went5 listed
Apply to EdinburghFall 2027
Not announced yet
Informatics PhD
- Round
- Rolling (funding consideration)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Not yet confirmed for this intake.
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