136 results on '"Tolga Birdal"'
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2. SignAvatars: A Large-Scale 3D Sign Language Holistic Motion Dataset and Benchmark.
3. NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors.
4. Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing.
5. HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation.
6. Fun with Flags: Robust Principal Directions via Flag Manifolds.
7. NeRF-Feat: 6D Object Pose Estimation using Feature Rendering.
8. Quantum Visual Computing.
9. Position: Topological Deep Learning is the New Frontier for Relational Learning.
10. Variational Inference for SDEs Driven by Fractional Noise.
11. Chordal Averaging on Flag Manifolds and Its Applications.
12. VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs.
13. Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.
14. ICML 2023 Topological Deep Learning Challenge: Design and Results.
15. Convex Formulations for Training Two-Layer ReLU Neural Networks.
16. UV-free Texture Generation with Denoising and Geodesic Heat Diffusions.
17. Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms.
18. Attending to Topological Spaces: The Cellular Transformer.
19. Position Paper: Challenges and Opportunities in Topological Deep Learning.
20. TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
21. Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization.
22. Projective Manifold Gradient Layer for Deep Rotation Regression.
23. Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders.
24. Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization.
25. Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation.
26. 3DPointCaps++: Learning 3D Representations with Capsule Networks.
27. SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark.
28. Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.
29. Variational Inference for SDEs Driven by Fractional Noise.
30. HuMoR: 3D Human Motion Model for Robust Pose Estimation.
31. Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks.
32. Quantum Permutation Synchronization.
33. MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization.
34. Weakly Supervised Learning of Rigid 3D Scene Flow.
35. Continuous Geodesic Convolutions for Learning on 3D Shapes.
36. Synchronizing Probability Measures on Rotations via Optimal Transport.
37. Learning Multiview 3D Point Cloud Registration.
38. Quaternion Equivariant Capsule Networks for 3D Point Clouds.
39. 6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference.
40. Deformation-Aware 3D Model Embedding and Retrieval.
41. 6D Camera Relocalization in Visually Ambiguous Extreme Environments.
42. Disentangling Content and Motion for Text-Based Neural Video Manipulation.
43. Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data.
44. 3D Point Capsule Networks.
45. Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope.
46. 3D Local Features for Direct Pairwise Registration.
47. Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits.
48. From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds.
49. Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC.
50. Task oriented 3D sampling via genetic algorithms.
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