Tolga Birdal
45 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (8)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(8)
🌈
Renaissance Researcher
(8)
👥
Mega-Team
(43)
👑
Triple Crown
🔬
Deep Specialist
(16)
🧬
Topic Evolution
💎
Century Club
(45)
⚡
Prolific Year
(6)
🚀
Conference Pioneer
🔥
Unstoppable
(9)
🗃️
Keyword Collector
(181)
Conferences
CVPR (18)
ICCV (8)
ECCV (7)
NIPS (6)
ICLR (3)
ICML (1)
JMLR (1)
WACV (1)
Top co-authors
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