Tolga Birdal
Assistant Professor
Leads the CIRCLE group on 3D computer vision, geometric and topological deep learning for spatial intelligence.
Tolga Birdal's lab at Imperial works on 3D vision & neural rendering and geometry processing & modeling. 38 papers since 2023, 32 at top venues, mostly CVPR and ICLR. 13 PhD students. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 84%
- PhD students
- 13
- MS students
- 0
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 12 papers2026 · T1 12 · collecting
- 11 papers2025 · T1 7
- 12 papers2024 · T1 11
- 3 papers2023 · T1 2
T1 venuesOtherVenues: CVPR, ICLR, NeurIPS, ECCV, ICCV
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering6 papers
- Geometry processing & modeling3 papers
- topological3 papers
- spatial intelligence0 papers
- spatial0 papers
Paper list
From the lab homepage.
202612 papers
- ICML (T1)Adversarial Vulnerability from Interference Between Features in Superposition
- ICML (T1)Collapsed Effective Operators for Higher-order Structures
- ICLR (T1)Correlations in the Data Lead to Semantically Rich Feature Geometry Under Superposition
- ICML (T1)DisPOSE: Projected Polystochastic Diffusion for Self-Supervised Multi-View 3D Human Pose Estimation
- CVPR (T1)Geometric Neural Distance Fields for Learning Human Motion Priors
- ECCV (T1)Heat Kernel Textures: the Geodesic Gaussians That Do Not Splat
- ICLR (T1)HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
- ECCV (T1)Learning Riemannian Geometry on 3D Objects
- CVPR (T1)MoLingo: Motion–Language Alignment for Text-to-Human Motion Generation
- ICLR (T1)On the Interaction of Compressibility and Adversarial
- CVPR (T1)Parallelised differentiable straightest geodesics for 3d meshes
- CVPR (T1)PoseD-Flow: Versatile and Guided Flow Matching Model of Human Pose
202511 papers
- Proceedings of the Computer Vision and Pattern Recognition ConferenceA Flag Decomposition for Hierarchical Datasets
- ICLR (T1)Convex formulations for training two-layer ReLU neural networks
- InCopresheaf Topological Neural Networks: A Generalized Deep Learning Framework
- ICCV (T1)CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
- Proceedings of the Computer Vision and Pattern Recognition ConferenceDyn-hamr: Recovering 4d interacting hand motion from a dynamic camera
- European Symposium on Artificial Neural Networks (ESANN)proceedings, Bruges (Belgium) and onlineEfficient training of neural SDEs using stochastic optimal control
- ICCV (T1)Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)
- NeurIPS (T1)Fractional Diffusion Bridge Models
- ICLR (T1)Grokking at the Edge of Numerical Stability
- ICCV (T1)Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
- NeurIPS (T1)Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery
202412 papers
- ECCV (T1)Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences
- CVPR (T1)Fun with Flags: Robust Principal Directions via Flag Manifolds
- NeurIPS (T1)Generative Fractional Diffusion Models
- CVPR (T1)HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
- CVPR (T1)Nrdf: Neural riemannian distance fields for learning articulated pose priors
- ICML (T1)Position: Topological Deep Learning is the New Frontier for Relational Learning
- CVPR (T1)Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
- BMVCProjected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
- ECCV (T1)SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
- NeurIPS (T1)Topological generalization bounds for discrete-time stochastic optimization algorithms
- NeurIPS (T1)UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
- ICLR (T1)Variational Inference for SDEs Driven by Fractional Noise
20233 papers
- CVPR (T1)Chordal averaging on flag manifolds and its applications
- Asilomar Conference on Signals, Systems, and ComputersCombinatorial complexes: bridging the gap between cell complexes and hypergraphs
- ICCV (T1)Vidstyleode: Disentangled video editing via stylegan and neuralodes
Where alumni went4 listed
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
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