A factorization based recommender system for online services. - Umut Simsekli; Tolga Birdal; Emre Koc; Ali Taylan Cemgil (SIU, 2013)

A Novel Method for Vectorization. - Tolga Birdal; Emrah Bala (CoRR, 2014)

Point Pair Features Based Object Detection and Pose Estimation Revisited. - Tolga Birdal; Slobodan Ilic (3DV, 2015)

A unified probabilistic framework for robust decoding of linear barcodes. - Umut Simsekli; Tolga Birdal (ICASSP, 2015)

X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment. - Tolga Birdal; Ievgeniia Dobryden; Slobodan Ilic (3DV, 2016)

Online inspection of 3D parts via a locally overlapping camera network. - Tolga Birdal; Emrah Bala; Tolga Eren; Slobodan Ilic (WACV, 2016)

CAD Priors for Accurate and Flexible Instance Reconstruction. - Tolga Birdal; Slobodan Ilic (ICCV, 2017)

Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions. - Benjamin Busam; Tolga Birdal; Nassir Navab (ICCV Workshops, 2017)

A point sampling algorithm for 3D matching of irregular geometries. - Tolga Birdal; Slobodan Ilic (IROS, 2017)

Camera Pose Filtering with Local Regression Geodesicsc on the Riemannian Manifold of Dual Quaternions. - Benjamin Busam; Tolga Birdal; Nassir Navab (CoRR, 2017)

Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation. - Adrian Haarbach; Tolga Birdal; Slobodan Ilic (3DV, 2018)

A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. - Tolga Birdal; Benjamin Busam; Nassir Navab; Slobodan Ilic; Peter Sturm 002 (CVPR, 2018)

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. - Haowen Deng; Tolga Birdal; Slobodan Ilic (CVPR, 2018)

PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. - Haowen Deng; Tolga Birdal; Slobodan Ilic (ECCV (5), 2018)

Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. - Tolga Birdal; Umut Simsekli; Mustafa Onur Eken; Slobodan Ilic (NeurIPS, 2018)

Task oriented 3D sampling via genetic algorithms. - Tolga Birdal (SIU, 2018)

Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope. - Tolga Birdal; Umut Simsekli (CVPR, 2019)

3D Local Features for Direct Pairwise Registration. - Haowen Deng; Tolga Birdal; Slobodan Ilic (CVPR, 2019)

3D Point Capsule Networks. - Yongheng Zhao; Tolga Birdal; Haowen Deng; Federico Tombari (CVPR, 2019)

Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data. - Fabian Manhardt; Diego Martín Arroyo; Christian Rupprecht 001; Benjamin Busam; Tolga Birdal; Nassir Navab; Federico Tombari (ICCV, 2019)

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

Synchronizing Probability Measures on Rotations via Optimal Transport. - Tolga Birdal; Michael Arbel; Umut Simsekli; Leonidas J. Guibas (CVPR, 2020)

Learning Multiview 3D Point Cloud Registration. - Zan Gojcic; Caifa Zhou; Jan D. Wegner; Leonidas J. Guibas; Tolga Birdal (CVPR, 2020)

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. - Mai Bui 001; Tolga Birdal; Haowen Deng; Shadi Albarqouni; Leonidas J. Guibas; Slobodan Ilic; Nassir Navab (ECCV (18), 2020)

Deformation-Aware 3D Model Embedding and Retrieval. - Mikaela Angelina Uy; Jingwei Huang 001; Minhyuk Sung; Tolga Birdal; Leonidas J. Guibas (ECCV (7), 2020)

Quaternion Equivariant Capsule Networks for 3D Point Clouds. - Yongheng Zhao; Tolga Birdal; Jan Eric Lenssen; Emanuele Menegatti; Leonidas J. Guibas; Federico Tombari (ECCV (1), 2020)

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. - Davis Rempe; Tolga Birdal; Yongheng Zhao; Zan Gojcic; Srinath Sridhar 002; Leonidas J. Guibas (NeurIPS, 2020)

Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. - Tolga Birdal; Benjamin Busam; Nassir Navab; Slobodan Ilic; Peter Sturm 002 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Quantum Permutation Synchronization. - Tolga Birdal; Vladislav Golyanik; Christian Theobalt; Leonidas J. Guibas (CVPR, 2021)

Weakly Supervised Learning of Rigid 3D Scene Flow. - Zan Gojcic; Or Litany; Andreas Wieser; Leonidas J. Guibas; Tolga Birdal (CVPR, 2021)

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. - Jiahui Huang; He Wang 010; Tolga Birdal; Minhyuk Sung; Federica Arrigoni; Shi-Min Hu 001; Leonidas J. Guibas (CVPR, 2021)

HuMoR: 3D Human Motion Model for Robust Pose Estimation. - Davis Rempe; Tolga Birdal; Aaron Hertzmann; Jimei Yang; Srinath Sridhar 002; Leonidas J. Guibas (ICCV, 2021)

Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. - Tolga Birdal; Aaron Lou; Leonidas J. Guibas; Umut Simsekli (NeurIPS, 2021)

Continuous Geodesic Convolutions for Learning on 3D Shapes. - Zhangsihao Yang; Or Litany; Tolga Birdal; Srinath Sridhar 002; Leonidas J. Guibas (WACV, 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)

Disentangling Content and Motion for Text-Based Neural Video Manipulation. - Levent Karacan; Tolga Kerimoglu; Ismail Inan; Tolga Birdal; Erkut Erdem; Aykut Erdem (BMVC, 2022)

Projective Manifold Gradient Layer for Deep Rotation Regression. - Jiayi Chen 003; Yingda Yin; Tolga Birdal; Baoquan Chen; Leonidas J. Guibas; He Wang 010 (CVPR, 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 (CVPR, 2022)

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. - Alp Yurtsever; Tolga Birdal; Vladislav Golyanik (ECCV (23), 2022)

6D Camera Relocalization in Visually Ambiguous Extreme Environments. - Yang Zheng; Tolga Birdal; Fei Xia 002; Yanchao Yang 001; Yueqi Duan; Leonidas J. Guibas (CoRR, 2022)

Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. - Haowen Deng; Mai Bui 001; Nassir Navab; Leonidas J. Guibas; Slobodan Ilic; Tolga Birdal (Int. J. Comput. Vis., 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)

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. - Mustafa Hajij; Ghada Zamzmi; Theodore Papamarkou; AIdo Guzman-Saenz; Tolga Birdal; Michael T. Schaub (ACSSC, 2023)

VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs. - Moayed Haji Ali; Andrew Bond; Levent Karacan; Tolga Birdal; Erkut Erdem; Duygu Ceylan; Aykut Erdem (ICCV, 2023)

Chordal Averaging on Flag Manifolds and Its Applications. - Nathan Mankovich; Tolga Birdal (ICCV, 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; et al. (TAG-ML, 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; et al. (CoRR, 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)

Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization. - Jiahui Huang; Tolga Birdal; Zan Gojcic; Leonidas J. Guibas; Shi-Min Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

NeRF-Feat: 6D Object Pose Estimation using Feature Rendering. - Shishir Reddy Vutukur; Heike Brock; Benjamin Busam; Tolga Birdal; Andreas Hutter; Slobodan Ilic (3DV, 2024)

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 (BMVC, 2024)

NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. - Yannan He; Garvita Tiwari; Tolga Birdal; Jan Eric Lenssen; Gerard Pons-Moll (CVPR, 2024)

HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation. - Zhiying Leng; Tolga Birdal; Xiaohui Liang 001; Federico Tombari (CVPR, 2024)

Fun with Flags: Robust Principal Directions via Flag Manifolds. - Nathan Mankovich; Gustau Camps-Valls; Tolga Birdal (CVPR, 2024)

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. - Jan-Nico Zaech; Martin Danelljan; Tolga Birdal; Luc Van Gool (CVPR, 2024)

Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences. - Shishir Reddy Vutukur; Rasmus Laurvig Haugaard; Junwen Huang; Benjamin Busam; Tolga Birdal (ECCV (2), 2024)

SignAvatars: A Large-Scale 3D Sign Language Holistic Motion Dataset and Benchmark. - Zhengdi Yu; Shaoli Huang; Yongkang Cheng; Tolga Birdal (ECCV (5), 2024)

Variational Inference for SDEs Driven by Fractional Noise. - Rembert Daems; Manfred Opper; Guillaume Crevecoeur; Tolga Birdal (ICLR, 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; et al. (ICML, 2024)

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. - Rayna Andreeva; Benjamin Dupuis; Rik Sarkar; Tolga Birdal; Umut Simsekli (NeurIPS, 2024)

UV-free Texture Generation with Denoising and Geodesic Heat Diffusion. - Simone Foti; Stefanos Zafeiriou; Tolga Birdal (NeurIPS, 2024)

Generative Fractional Diffusion Models. - Gabriel Nobis; Maximilian Springenberg; Marco Aversa; Michael Detzel; Rembert Daems; Roderick Murray-Smith; Shinichi Nakajima; Sebastian Lapuschkin; Stefano Ermon; Tolga Birdal; Manfred Opper; Christoph Knochenhauer; et al. (NeurIPS, 2024)

Quantum Visual Computing. - Johannes Sebastian Mueller-Roemer; Vladislav Golyanik; Tolga Birdal (IEEE Computer Graphics and Applications, 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 001; Sergio Escalera; et al. (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; et al. (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)

UV-free Texture Generation with Denoising and Geodesic Heat Diffusions. - Simone Foti; Stefanos Zafeiriou; Tolga Birdal (CoRR, 2024)

A Flag Decomposition for Hierarchical Datasets. - Nathan Mankovich; Ignacio Santamaría; Gustau Camps-Valls; Tolga Birdal (CVPR, 2025)

Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera. - Zhengdi Yu; Stefanos Zafeiriou; Tolga Birdal (CVPR, 2025)

Convex Formulations for Training Two-Layer ReLU Neural Networks. - Karthik Prakhya; Tolga Birdal; Alp Yurtsever (ICLR, 2025)

Grokking at the Edge of Numerical Stability. - Lucas Prieto; Melih Barsbey; Pedro A. M. Mediano; Tolga Birdal (ICLR, 2025)

HOG-Diff: Higher-Order Guided Diffusion for Graph Generation. - Yiming Huang; Tolga Birdal (CoRR, 2025)

Efficient Training of Neural SDEs Using Stochastic Optimal Control. - Rembert Daems; Manfred Opper; Guillaume Crevecoeur; Tolga Birdal (CoRR, 2025)

Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery. - Ming Hu; Zhengdi Yu; Feilong Tang; Kaiwen Chen; Yulong Li; Imran Razzak; Junjun He; Tolga Birdal; Kaijing Zhou; Zongyuan Ge (CoRR, 2025)

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework. - Mustafa Hajij; Lennart Bastian; Sarah Osentoski; Hardik Kabaria; John L. Davenport; Sheik Dawood; Balaji Cherukuri; Joseph G. Kocheemoolayil; Nastaran Shahmansouri; Adrian Lew; Theodore Papamarkou; Tolga Birdal (CoRR, 2025)

Continuous-Time SO(3) Forecasting with Savitzky-Golay Neural Controlled Differential Equations. - Lennart Bastian; Mohammad Rashed; Nassir Navab; Tolga Birdal (CoRR, 2025)

Mutual Information Free Topological Generalization Bounds via Stability. - Mario Tuci; Lennart Bastian; Benjamin Dupuis; Nassir Navab; Tolga Birdal; Umut Simsekli (CoRR, 2025)

On the Interaction of Compressibility and Adversarial Robustness. - Melih Barsbey; Antônio H. Ribeiro; Umut Simsekli; Tolga Birdal (CoRR, 2025)

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility. - Melih Barsbey; Lucas Prieto; Stefanos Zafeiriou; Tolga Birdal (CoRR, 2025)

Forecasting Continuous Non-Conservative Dynamical Systems in SO(3). - Lennart Bastian; Mohammad Rashed; Nassir Navab; Tolga Birdal (CoRR, 2025)