CIRCLE Group

Publications

We actively publish at the top venues of computer vision and machine learning, including CVPR, NeurIPS, ICLR, ICCV, ECCV, ICML and 3DV. A curated list of publications can be found below.

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Highlighted

Forecasting Continuous Non-Conservative Dynamical Systems in SO 3
Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)
Lennart Bastian, Mohammad Rashed, Nassir Navab, Tolga Birdal
International Conference on Computer Vision (ICCV)  ·  Oct 2025
Dyn-hamr: Recovering 4d interacting hand motion from a dynamic camera
Dyn-hamr: Recovering 4d interacting hand motion from a dynamic camera
Zhengdi Yu, Stefanos Zafeiriou, Tolga Birdal
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2025
Source
Website
Topological Deep Learning: Going Beyond Graph Data
Topological Deep Learning: Going Beyond Graph Data
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, …, Tolga Birdal, Tamal K Dey, Soham Mukherjee, Shreyas N Samaga, others
arXiv preprint arXiv:2206.00606  ·  Jun 2023
Source
Website
Intrinsic dimension, persistent homology and generalization in neural networks
Intrinsic dimension, persistent homology and generalization in neural networks
Tolga Birdal, Aaron Lou, Leonidas J Guibas, Umut Simsekli
Conference on Neural Information Processing Systems (NeurIPS)  ·  Dec 2021
Source
Quantum permutation synchronization
Quantum permutation synchronization
Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J Guibas
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2021
Website

All

2025

Efficient training of neural SDEs using stochastic optimal control
Efficient training of neural SDEs using stochastic optimal control
Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal
European Symposium on Artificial Neural Networks (ESANN)  ·  Oct 2025
Preprint
Forecasting Continuous Non-Conservative Dynamical Systems in SO 3
Forecasting Continuous Non-Conservative Dynamical Systems in SO(3)
Lennart Bastian, Mohammad Rashed, Nassir Navab, Tolga Birdal
International Conference on Computer Vision (ICCV)  ·  Oct 2025
CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
Caner Korkmaz, Brighton Nuwagira, Barış Coşkunuzer, Tolga Birdal
International Conference on Computer Vision (ICCV)  ·  Oct 2025
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
Melih Barsbey, Lucas Prieto, Stefanos Zafeiriou, Tolga Birdal
International Conference on Computer Vision (ICCV)  ·  Oct 2025
A Flag Decomposition for Hierarchical Datasets
A Flag Decomposition for Hierarchical Datasets
Nathan Mankovich, Ignacio Santamaria, Gustau Camps-Valls, Tolga Birdal
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2025
Source
Dyn-hamr: Recovering 4d interacting hand motion from a dynamic camera
Dyn-hamr: Recovering 4d interacting hand motion from a dynamic camera
Zhengdi Yu, Stefanos Zafeiriou, Tolga Birdal
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2025
Source
Website
Grokking at the Edge of Numerical Stability
Grokking at the Edge of Numerical Stability
Lucas Prieto, Melih Barsbey, Pedro AM Mediano, Tolga Birdal
International Conference on Learning Representations (ICLR)  ·  May 2025
Source
Convex formulations for training two-layer ReLU neural networks
Convex formulations for training two-layer ReLU neural networks
Karthik Prakhya, Tolga Birdal, Alp Yurtsever
International Conference on Learning Representations (ICLR)  ·  May 2025
Source

2024

Generative Fractional Diffusion Models
Generative Fractional Diffusion Models
Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, …, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek
Conference on Neural Information Processing Systems (NeurIPS)  ·  Dec 2024
Preprint
Source
Topological generalization bounds for discrete-time stochastic optimization algorithms
Topological generalization bounds for discrete-time stochastic optimization algorithms
Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli
Conference on Neural Information Processing Systems (NeurIPS)  ·  Dec 2024
Preprint
Source
UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
Simone Foti, Stefanos Zafeiriou, Tolga Birdal
Conference on Neural Information Processing Systems (NeurIPS)  ·  Dec 2024
Source
Website
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
Maximilian Krahn, Michelle Sasdelli, Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
British Machine Vision Conference (BMVC)  ·  Nov 2024
Source
Website
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal
European Conference on Computer Vision (ECCV)  ·  Sep 2024
Source
Website
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences
Shishir R. Vutukur, Rasmus L. Haugaard, Junwen Huang, Benjamin Busam, Tolga Birdal
European Conference on Computer Vision (ECCV)  ·  Sep 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou, Tolga Birdal, Michael M Bronstein, Gunnar E Carlsson, Justin Curry, …, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, others
International Conference on Machine Learning (ICML)  ·  Jul 2024
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2024
Fun with Flags: Robust Principal Directions via Flag Manifolds
Fun with Flags: Robust Principal Directions via Flag Manifolds
Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2024
Source
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
Zhiying Leng, Tolga Birdal, Xiaohui Liang, Federico Tombari
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2024
Source
Website
Nrdf: Neural riemannian distance fields for learning articulated pose priors
Nrdf: Neural riemannian distance fields for learning articulated pose priors
Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2024
Source
Website
Attending to Topological Spaces: The Cellular Transformer
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
arXiv preprint arXiv:2405.14094  ·  May 2024
Variational Inference for SDEs Driven by Fractional Noise
Variational Inference for SDEs Driven by Fractional Noise
Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal
International Conference on Learning Representations (ICLR)  ·  May 2024
Source
Website

2023

Combinatorial complexes: bridging the gap between cell complexes and hypergraphs
Combinatorial complexes: bridging the gap between cell complexes and hypergraphs
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T Schaub
Asilomar Conference on Signals, Systems, and Computers  ·  Oct 2023
Vidstyleode: Disentangled video editing via stylegan and neuralodes
Vidstyleode: Disentangled video editing via stylegan and neuralodes
Moayed Haji Ali, Andrew Bond, Tolga Birdal, Duygu Ceylan, Levent Karacan, Erkut Erdem, Aykut Erdem
International Conference on Computer Vision (ICCV)  ·  Oct 2023
Source
Website
Chordal averaging on flag manifolds and its applications
Chordal averaging on flag manifolds and its applications
Nathan Mankovich, Tolga Birdal
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2023
Source
Topological Deep Learning: Going Beyond Graph Data
Topological Deep Learning: Going Beyond Graph Data
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, …, Tolga Birdal, Tamal K Dey, Soham Mukherjee, Shreyas N Samaga, others
arXiv preprint arXiv:2206.00606  ·  Jun 2023
Source
Website

2022

Disentangling Content and Motion for Text-Based Neural Video Manipulation
Disentangling Content and Motion for Text-Based Neural Video Manipulation
Levent Karacan, Tolga Kerimoğlu, İsmail İnan, Tolga Birdal, Erkut Erdem, Aykut Erdem
British Machine Vision Conference (BMVC)  ·  Nov 2022
Source
Website
Q-FW: A hybrid classical-quantum Frank-Wolfe for quadratic binary optimization
Q-FW: A hybrid classical-quantum Frank-Wolfe for quadratic binary optimization
Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
European Conference on Computer Vision (ECCV)  ·  Oct 2022
Website
6d camera relocalization in visually ambiguous extreme environments
6d camera relocalization in visually ambiguous extreme environments
Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J Guibas
arXiv preprint arXiv:2207.06333  ·  Jul 2022
3dpointcaps : Learning 3d representations with capsule networks
3dpointcaps++: Learning 3d representations with capsule networks
Yongheng Zhao, Guangchi Fang, Yulan Guo, Leonidas Guibas, Federico Tombari, Tolga Birdal
International Journal of Computer Vision (IJCV)  ·  Jul 2022
Source
Website
Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders
Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders
Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph G Lambourne, Tolga Birdal, Leonidas J Guibas
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2022
Source
Website
Projective manifold gradient layer for deep rotation regression
Projective manifold gradient layer for deep rotation regression
Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J Guibas, He Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2022
Source
Website
Deep bingham networks: Dealing with uncertainty and ambiguity in pose estimation
Deep bingham networks: Dealing with uncertainty and ambiguity in pose estimation
Haowen Deng, Mai Bui, Nassir Navab, Leonidas Guibas, Slobodan Ilic, Tolga Birdal
International Journal of Computer Vision (IJCV)  ·  Apr 2022
Source
Website
Multiway non-rigid point cloud registration via learned functional map synchronization
Multiway non-rigid point cloud registration via learned functional map synchronization
Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J Guibas, Shi-Min Hu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)  ·  Feb 2022
Source
Website

2021

Intrinsic dimension, persistent homology and generalization in neural networks
Intrinsic dimension, persistent homology and generalization in neural networks
Tolga Birdal, Aaron Lou, Leonidas J Guibas, Umut Simsekli
Conference on Neural Information Processing Systems (NeurIPS)  ·  Dec 2021
Source
Humor: 3d human motion model for robust pose estimation
Humor: 3d human motion model for robust pose estimation
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J Guibas
International Conference on Computer Vision (ICCV)  ·  Oct 2021
Source
Website
Weakly supervised learning of rigid 3D scene flow
Weakly supervised learning of rigid 3D scene flow
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J Guibas, Tolga Birdal
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2021
Source
Website
Quantum permutation synchronization
Quantum permutation synchronization
Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J Guibas
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2021
Website
Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization
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
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2021
Source
Continuous geodesic convolutions for learning on 3d shapes
Continuous geodesic convolutions for learning on 3d shapes
Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas Guibas
Winter Conference on Applications of Computer Vision (WACV)  ·  Jan 2021

2020

Caspr: Learning canonical spatiotemporal point cloud representations
Caspr: Learning canonical spatiotemporal point cloud representations
Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J Guibas
Conference on Neural Information Processing Systems (NeurIPS)  ·  Dec 2020
Source
Website
Quaternion equivariant capsule networks for 3d point clouds
Quaternion equivariant capsule networks for 3d point clouds
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari
European Conference on Computer Vision (ECCV)  ·  Aug 2020
Source
Website
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab
European Conference on Computer Vision (ECCV)  ·  Aug 2020
Source
Website
Deformation-aware 3d model embedding and retrieval
Deformation-aware 3d model embedding and retrieval
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas
European Conference on Computer Vision (ECCV)  ·  Aug 2020
Source
Website
Learning multiview 3d point cloud registration
Learning multiview 3d point cloud registration
Zan Gojcic, Caifa Zhou, Jan D Wegner, Leonidas J Guibas, Tolga Birdal
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2020
Source
Synchronizing probability measures on rotations via optimal transport
Synchronizing probability measures on rotations via optimal transport
Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J Guibas
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2020
Source
Website
From planes to corners Multi-purpose primitive detection in unorganized 3d point clouds
From planes to corners Multi-purpose primitive detection in unorganized 3d point clouds
Christiane Sommer, Yumin Sun, Leonidas Guibas, Daniel Cremers, Tolga Birdal
IEEE Robotics and Automation Letters  ·  Feb 2020
Source

2019

Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data
Fabian Manhardt, Diego Martin Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, Federico Tombari
International Conference on Computer Vision (ICCV)  ·  Oct 2019
3D Local Features for Direct Pairwise Registration
3D Local Features for Direct Pairwise Registration
Haowen Deng, Tolga Birdal, Slobodan Ilic
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2019
3D point capsule networks
3D point capsule networks
Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2019
Source
Website
Probabilistic permutation synchronization using the riemannian structure of the birkhoff polytope
Probabilistic permutation synchronization using the riemannian structure of the birkhoff polytope
Tolga Birdal, Umut Simsekli
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2019
Website
Generic primitive detection in point clouds using novel minimal quadric fits
Generic primitive detection in point clouds using novel minimal quadric fits
Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)  ·  Jan 2019
Source

2018

Bayesian pose graph optimization via bingham distributions and tempered geodesic mcmc
Bayesian pose graph optimization via bingham distributions and tempered geodesic mcmc
Tolga Birdal, Umut Şimşekli, M Onur Eken, Slobodan Ilic
Conference on Neural Information Processing Systems (NeurIPS)  ·  Dec 2018
Website
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
Haowen Deng, Tolga Birdal, Slobodan Ilic
European Conference on Computer Vision (ECCV)  ·  Sep 2018
Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation
Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation
Adrian Haarbach, Tolga Birdal, Slobodan Ilic
International Conference on 3D Vision (3DV)  ·  Sep 2018
Source
Website
A minimalist approach to type-agnostic detection of quadrics in point clouds
A minimalist approach to type-agnostic detection of quadrics in point clouds
Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2018
Ppfnet Global context aware local features for robust 3d point matching
Ppfnet Global context aware local features for robust 3d point matching
Haowen Deng, Tolga Birdal, Slobodan Ilic
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  ·  Jun 2018
Geometric Methods for 3D Reconstruction from Large Point Clouds
Geometric Methods for 3D Reconstruction from Large Point Clouds
Tolga Birdal
Technische Universität München  ·  Jan 2018

2017

Camera pose filtering with local regression geodesics on the riemannian manifold of dual quaternions
Camera pose filtering with local regression geodesics on the riemannian manifold of dual quaternions
Benjamin Busam, Tolga Birdal, Nassir Navab
International Conference on Computer Vision Workshops (ICCVW)  ·  Oct 2017
Cad priors for accurate and flexible instance reconstruction
Cad priors for accurate and flexible instance reconstruction
Tolga Birdal, Slobodan Ilic
International Conference on Computer Vision (ICCV)  ·  Oct 2017
A point sampling algorithm for 3d matching of irregular geometries
A point sampling algorithm for 3d matching of irregular geometries
Tolga Birdal, Slobodan Ilic
International Conference on Intelligent Robots and Systems (IROS)  ·  Sep 2017
Paper

2016

X-tag A fiducial tag for flexible and accurate bundle adjustment
X-tag A fiducial tag for flexible and accurate bundle adjustment
Tolga Birdal, Ievgeniia Dobryden, Slobodan Ilic
International Conference on 3D Vision (3DV)  ·  Oct 2016
Paper
Online inspection of 3d parts via a locally overlapping camera network
Online inspection of 3d parts via a locally overlapping camera network
Tolga Birdal, Emrah Bala, Tolga Eren, Slobodan Ilic
Winter Conference on Applications of Computer Vision (WACV)  ·  Mar 2016
Paper

2015

Point pair features based object detection and pose estimation revisited
Point pair features based object detection and pose estimation revisited
Tolga Birdal, Slobodan Ilic
International Conference on 3D Vision (3DV)  ·  Oct 2015
Paper
A unified probabilistic framework for robust decoding of linear barcodes
A unified probabilistic framework for robust decoding of linear barcodes
Umut Şimşekli, Tolga Birdal
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)  ·  Apr 2015