Tolga Birdal

Orcid: 0000-0001-7915-7964

According to our database1, Tolga Birdal authored at least 58 papers between 2013 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors.
CoRR, 2024

HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation.
CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.
CoRR, 2024

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
CoRR, 2024

Fun with Flags: Robust Principal Directions via Flag Manifolds.
CoRR, 2024

2023
Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.
CoRR, 2023

SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark.
CoRR, 2023

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.
CoRR, 2023

Variational Inference for SDEs Driven by Fractional Noise.
CoRR, 2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR, 2023


Chordal Averaging on Flag Manifolds and Its Applications.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
3DPointCaps++: Learning 3D Representations with Capsule Networks.
Int. J. Comput. Vis., 2022

Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation.
Int. J. Comput. Vis., 2022

6D Camera Relocalization in Visually Ambiguous Extreme Environments.
CoRR, 2022

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Projective Manifold Gradient Layer for Deep Rotation Regression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Disentangling Content and Motion for Text-Based Neural Video Manipulation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks.
CoRR, 2021

Continuous Geodesic Convolutions for Learning on 3D Shapes.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HuMoR: 3D Human Motion Model for Robust Pose Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Weakly Supervised Learning of Rigid 3D Scene Flow.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Quantum Permutation Synchronization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds.
IEEE Robotics Autom. Lett., 2020

Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Quaternion Equivariant Capsule Networks for 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deformation-Aware 3D Model Embedding and Retrieval.
Proceedings of the Computer Vision - ECCV 2020, 2020

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multiview 3D Point Cloud Registration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Synchronizing Probability Measures on Rotations via Optimal Transport.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Geometric Methods for 3D Reconstruction from Large Point Clouds (Geometrische Methoden zur 3D-Rekonstruktion aus großen Punktwolken)
PhD thesis, 2019

Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

3D Point Capsule Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

3D Local Features for Direct Pairwise Registration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Task oriented 3D sampling via genetic algorithms.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors.
Proceedings of the Computer Vision - ECCV 2018, 2018

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Camera Pose Filtering with Local Regression Geodesicsc on the Riemannian Manifold of Dual Quaternions.
CoRR, 2017

A point sampling algorithm for 3D matching of irregular geometries.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

CAD Priors for Accurate and Flexible Instance Reconstruction.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Online inspection of 3D parts via a locally overlapping camera network.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
A unified probabilistic framework for robust decoding of linear barcodes.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Point Pair Features Based Object Detection and Pose Estimation Revisited.
Proceedings of the 2015 International Conference on 3D Vision, 2015

2014
A Novel Method for Vectorization.
CoRR, 2014

2013
A factorization based recommender system for online services.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013


  Loading...