Tolga Birdal

Geometric Neural Distance Fields for Learning Human Motion Priors CVPR 2026 MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation CVPR 2026 Parallelised Differentiable Straightest Geodesics for 3D Meshes CVPR 2026 PoseD-Flow: Versatile and Guided Flow Matching Model of Human Pose CVPR 2026 A Flag Decomposition for Hierarchical Datasets CVPR 2025 Convex Formulations for Training Two-Layer ReLU Neural Networks ICLR 2025 CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations ICCV 2025 Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera CVPR 2025 Forecasting Continuous Non-Conservative Dynamical Systems in SO(3) ICCV 2025 Grokking at the Edge of Numerical Stability ICLR 2025 Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025 Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences ECCV 2024 Fun with Flags: Robust Principal Directions via Flag Manifolds CVPR 2024 Generative Fractional Diffusion Models NeurIPS 2024 HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation CVPR 2024 NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors CVPR 2024 Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024 Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing CVPR 2024 SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark ECCV 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 TopoX: A Suite of Python Packages for Machine Learning on Topological Domains JMLR 2024 UV-free Texture Generation with Denoising and Geodesic Heat Diffusion NeurIPS 2024 Variational Inference for SDEs Driven by Fractional Noise ICLR 2024 Chordal Averaging on Flag Manifolds and Its Applications ICCV 2023 VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs ICCV 2023 Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders CVPR 2022 Projective Manifold Gradient Layer for Deep Rotation Regression CVPR 2022 Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization ECCV 2022 Continuous Geodesic Convolutions for Learning on 3D Shapes WACV 2021 HuMoR: 3D Human Motion Model for Robust Pose Estimation ICCV 2021 Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks NeurIPS 2021 MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization CVPR 2021 Quantum Permutation Synchronization CVPR 2021 Weakly Supervised Learning of Rigid 3D Scene Flow CVPR 2021 6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference ECCV 2020 CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations NeurIPS 2020 Deformation-Aware 3D Model Embedding and Retrieval ECCV 2020 Learning Multiview 3D Point Cloud Registration CVPR 2020 Quaternion Equivariant Capsule Networks for 3D Point Clouds ECCV 2020 Synchronizing Probability Measures on Rotations via Optimal Transport CVPR 2020 3D Local Features for Direct Pairwise Registration CVPR 2019 3D Point Capsule Networks CVPR 2019 Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data ICCV 2019 Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019 A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds CVPR 2018 Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC NeurIPS 2018 PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors ECCV 2018 PPFNet: Global Context Aware Local Features for Robust 3D Point Matching CVPR 2018 CAD Priors for Accurate and Flexible Instance Reconstruction ICCV 2017