← Authors

Tolga Birdal

45 papers · 2017–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (68) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (8) πŸ‘₯ Mega-Team (43) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ’Ž Century Club (45) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (181)

Conferences

CVPR (18) ICCV (8) ECCV (7) NIPS (6) ICLR (3) ICML (1) JMLR (1) WACV (1)

Top co-authors

Leonidas J. Guibas (8) Slobodan Ilic (7) Leonidas Guibas (6) Umut Simsekli (5) Haowen Deng (5) Federico Tombari (4) Nassir Navab (4) Nathan Mankovich (3) Stefanos Zafeiriou (3) Minhyuk Sung (3)

Keywords

point cloud (8) neural network (4) 3d reconstruction (4) pose estimation (4) point cloud registration (3) motion estimation (3) flag manifold (3) topological data analysis (3) rigid body motion (2) feature descriptor (2) adiabatic quantum computing (2) 3d registration (2) diffusion model (2) latent space (2) riemannian manifold (2) 3d vision (2) 3d scene understanding (2) manifold optimization (2) permutation synchronization (2) point cloud processing (2)

Papers

Grokking at the Edge of Numerical Stability ICLR 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
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025
CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations ICCV 2025
A Flag Decomposition for Hierarchical Datasets CVPR 2025
Convex Formulations for Training Two-Layer ReLU Neural Networks ICLR 2025
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation CVPR 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NIPS 2024
Generative Fractional Diffusion Models NIPS 2024
UV-free Texture Generation with Denoising and Geodesic Heat Diffusion NIPS 2024
Variational Inference for SDEs Driven by Fractional Noise ICLR 2024
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing CVPR 2024
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors CVPR 2024
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark ECCV 2024
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences ECCV 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains JMLR 2024
Fun with Flags: Robust Principal Directions via Flag Manifolds CVPR 2024
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs ICCV 2023
Chordal Averaging on Flag Manifolds and Its Applications 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
Quantum Permutation Synchronization CVPR 2021
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks NIPS 2021
Continuous Geodesic Convolutions for Learning on 3D Shapes WACV 2021
HuMoR: 3D Human Motion Model for Robust Pose Estimation ICCV 2021
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization CVPR 2021
Weakly Supervised Learning of Rigid 3D Scene Flow CVPR 2021
Learning Multiview 3D Point Cloud Registration CVPR 2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference ECCV 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds ECCV 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations NIPS 2020
Deformation-Aware 3D Model Embedding and Retrieval ECCV 2020
Synchronizing Probability Measures on Rotations via Optimal Transport CVPR 2020
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
3D Local Features for Direct Pairwise Registration CVPR 2019
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC NIPS 2018
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds CVPR 2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching CVPR 2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors ECCV 2018
CAD Priors for Accurate and Flexible Instance Reconstruction ICCV 2017