Tolga Birdal

According to our database, Tolga Birdal authored at least 67 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Convex Formulations for Training Two-Layer ReLU Neural Networks.

Karthik Prakhya, Tolga Birdal, Alp Yurtsever

CoRR, 2024

UV-free Texture Generation with Denoising and Geodesic Heat Diffusions.

Simone Foti, Stefanos Zafeiriou, Tolga Birdal

CoRR, 2024

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms.

Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli

CoRR, 2024

Attending to Topological Spaces: The Cellular Transformer.

Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij

CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.

Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi

CoRR, 2024

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

Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

CoRR, 2024

Quantum Visual Computing.

Johannes Sebastian Mueller-Roemer, Vladislav Golyanik, Tolga Birdal

IEEE Computer Graphics and Applications, 2024

Position: Topological Deep Learning is the New Frontier for Relational Learning.

Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Variational Inference for SDEs Driven by Fractional Noise.

Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SignAvatars: A Large-Scale 3D Sign Language Holistic Motion Dataset and Benchmark.

Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal

Proceedings of the Computer Vision - ECCV 2024, 2024

Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences.

Shishir Reddy Vutukur, Rasmus Laurvig Haugaard, Junwen Huang, Benjamin Busam, Tolga Birdal

Proceedings of the Computer Vision - ECCV 2024, 2024

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing.

Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Fun with Flags: Robust Principal Directions via Flag Manifolds.

Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Zhiying Leng, Tolga Birdal, Xiaohui Liang, Federico Tombari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NeRF-Feat: 6D Object Pose Estimation using Feature Rendering.

Shishir Reddy Vutukur, Heike Brock, Benjamin Busam, Tolga Birdal, Andreas Hutter, Slobodan Ilic

Proceedings of the International Conference on 3D Vision, 2024

2023

Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization.

Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub

CoRR, 2023

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.

Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.

Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

Chordal Averaging on Flag Manifolds and Its Applications.

Nathan Mankovich, Tolga Birdal

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs.

Moayed Haji Ali, Andrew Bond, Levent Karacan, Tolga Birdal, Erkut Erdem, Duygu Ceylan, Aykut Erdem

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs.

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub

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.

Yongheng Zhao, Guangchi Fang, Yulan Guo, Leonidas J. Guibas, Federico Tombari, Tolga Birdal

Int. J. Comput. Vis., 2022

Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation.

Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal

Int. J. Comput. Vis., 2022

6D Camera Relocalization in Visually Ambiguous Extreme Environments.

Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas

CoRR, 2022

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization.

Alp Yurtsever, Tolga Birdal, Vladislav Golyanik

Proceedings of the Computer Vision - ECCV 2022, 2022

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders.

Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Projective Manifold Gradient Layer for Deep Rotation Regression.

Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Disentangling Content and Motion for Text-Based Neural Video Manipulation.

Levent Karacan, Tolga Kerimoglu, Ismail Inan, Tolga Birdal, Erkut Erdem, Aykut Erdem

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

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

Faria Huq, Adrish Dey, Sahra Yusuf, Dena Bazazian, Tolga Birdal, Nina Miolane

CoRR, 2021

Continuous Geodesic Convolutions for Learning on 3D Shapes.

Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks.

Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli

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.

Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization.

Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Weakly Supervised Learning of Rigid 3D Scene Flow.

Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Quantum Permutation Synchronization.

Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas

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.

Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal

IEEE Robotics Autom. Lett., 2020

Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits.

Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm

IEEE Trans. Pattern Anal. Mach. Intell., 2020

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations.

Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas

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.

Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari

Proceedings of the Computer Vision - ECCV 2020, 2020

Deformation-Aware 3D Model Embedding and Retrieval.

Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas

Proceedings of the Computer Vision - ECCV 2020, 2020

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference.

Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multiview 3D Point Cloud Registration.

Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Synchronizing Probability Measures on Rotations via Optimal Transport.

Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas

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)

Tolga Birdal

PhD thesis, 2019

Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data.

Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, Federico Tombari

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

3D Point Capsule Networks.

Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

3D Local Features for Direct Pairwise Registration.

Haowen Deng, Tolga Birdal, Slobodan Ilic

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope.

Tolga Birdal, Umut Simsekli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Task oriented 3D sampling via genetic algorithms.

Tolga Birdal

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC.

Tolga Birdal, Umut Simsekli, Mustafa Onur Eken, Slobodan Ilic

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.

Haowen Deng, Tolga Birdal, Slobodan Ilic

Proceedings of the Computer Vision - ECCV 2018, 2018

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching.

Haowen Deng, Tolga Birdal, Slobodan Ilic

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.

Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm

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.

Adrian Haarbach, Tolga Birdal, Slobodan Ilic

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.

Benjamin Busam, Tolga Birdal, Nassir Navab

CoRR, 2017

A point sampling algorithm for 3D matching of irregular geometries.

Tolga Birdal, Slobodan Ilic

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.

Benjamin Busam, Tolga Birdal, Nassir Navab

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

CAD Priors for Accurate and Flexible Instance Reconstruction.

Tolga Birdal, Slobodan Ilic

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Online inspection of 3D parts via a locally overlapping camera network.

Tolga Birdal, Emrah Bala, Tolga Eren, Slobodan Ilic

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment.

Tolga Birdal, Ievgeniia Dobryden, Slobodan Ilic

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

A unified probabilistic framework for robust decoding of linear barcodes.

Umut Simsekli, Tolga Birdal

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Point Pair Features Based Object Detection and Pose Estimation Revisited.

Tolga Birdal, Slobodan Ilic

Proceedings of the 2015 International Conference on 3D Vision, 2015

2014

A Novel Method for Vectorization.

Tolga Birdal, Emrah Bala

CoRR, 2014

2013

A factorization based recommender system for online services.

Umut Simsekli, Tolga Birdal, Emre Koc, Ali Taylan Cemgil

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013