Tolga Birdal

papers

1,402

total citations

papers (29)

Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders

CVPR 2022arXiv

citations

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

NEURIPS 2020arXiv

citations

Position: Topological Deep Learning is the New Frontier for Relational Learning

ICML 2024arXiv

citations

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization

CVPR 2021arXiv

citations

Deformation-Aware 3D Model Embedding and Retrieval

ECCV 2020arXiv

citations

Quantum Permutation Synchronization

CVPR 2021arXiv

citations

Projective Manifold Gradient Layer for Deep Rotation Regression

CVPR 2022arXiv

citations

Synchronizing Probability Measures on Rotations via Optimal Transport

CVPR 2020arXiv

citations

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference

ECCV 2020arXiv

citations

NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors

CVPR 2024arXiv

citations

Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera

CVPR 2025arXiv

citations

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization

ECCV 2022arXiv

citations

Chordal Averaging on Flag Manifolds and Its Applications

ICCV 2023arXiv

citations

Variational Inference for SDEs Driven by Fractional Noise

ICLR 2024arXiv

citations

Fun with Flags: Robust Principal Directions via Flag Manifolds

CVPR 2024arXiv

citations

HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation

CVPR 2024arXiv

citations

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing

CVPR 2024arXiv

citations

A Flag Decomposition for Hierarchical Datasets

CVPR 2025arXiv

citations

CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations

ICCV 2025arXiv

citations

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework

NEURIPS 2025arXiv

citations

Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences

ECCV 2024arXiv

citations

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs

ICCV 2023arXiv

citations

Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)

ICCV 2025arXiv

citations

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility

ICCV 2025arXiv

citations

Tolga Birdal

papers (29)

HuMoR: 3D Human Motion Model for Robust Pose Estimation

Learning Multiview 3D Point Cloud Registration

Weakly Supervised Learning of Rigid 3D Scene Flow

Quaternion Equivariant Capsule Networks for 3D Point Clouds

Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks

Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

Position: Topological Deep Learning is the New Frontier for Relational Learning

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization

Deformation-Aware 3D Model Embedding and Retrieval

Quantum Permutation Synchronization

Projective Manifold Gradient Layer for Deep Rotation Regression

Synchronizing Probability Measures on Rotations via Optimal Transport

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference

NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors

Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization

Chordal Averaging on Flag Manifolds and Its Applications

Variational Inference for SDEs Driven by Fractional Noise

Fun with Flags: Robust Principal Directions via Flag Manifolds

HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing

A Flag Decomposition for Hierarchical Datasets

CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework

Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs

Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility

papers (29)

HuMoR: 3D Human Motion Model for Robust Pose Estimation

Learning Multiview 3D Point Cloud Registration

Weakly Supervised Learning of Rigid 3D Scene Flow

Quaternion Equivariant Capsule Networks for 3D Point Clouds

Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks

Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

Position: Topological Deep Learning is the New Frontier for Relational Learning

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization

Deformation-Aware 3D Model Embedding and Retrieval

Quantum Permutation Synchronization

Projective Manifold Gradient Layer for Deep Rotation Regression

Synchronizing Probability Measures on Rotations via Optimal Transport

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference

NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors

Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization

Chordal Averaging on Flag Manifolds and Its Applications

Variational Inference for SDEs Driven by Fractional Noise

Fun with Flags: Robust Principal Directions via Flag Manifolds

HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing

A Flag Decomposition for Hierarchical Datasets

CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework

Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs

Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility