Tolga Birdal

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 82

Top Topics

Top Venues

Publications

Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal
Fun with Flags: Robust Principal Directions via Flag Manifolds. CoRR (2024)
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar 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
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR (2024)
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
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR (2024)
Nathan Mankovich, Tolga Birdal
Chordal Averaging on Flag Manifolds and Its Applications. ICCV (2023)
Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal
Variational Inference for SDEs Driven by Fractional Noise. CoRR (2023)
Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. CoRR (2023)
Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu
Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark. CoRR (2023)
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. CoRR (2023)
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
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML (2023)
Moayed Haji Ali, Andrew Bond, Tolga Birdal, Duygu Ceylan, Levent Karacan, Erkut Erdem, Aykut Erdem
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs. CoRR (2023)
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 Meisner, 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.
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR (2023)
Nathan Mankovich, Tolga Birdal
Chordal Averaging on Flag Manifolds and Its Applications. CoRR (2023)
Moayed Haji Ali, Andrew Bond, Levent Karacan, Tolga Birdal, Erkut Erdem, Duygu Ceylan, Aykut Erdem
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs. ICCV (2023)
Yongheng Zhao, Guangchi Fang, Yulan Guo, Leonidas J. Guibas, Federico Tombari, Tolga Birdal
3DPointCaps++: Learning 3D Representations with Capsule Networks. Int. J. Comput. Vis. 130 (9) (2022)
Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. Int. J. Comput. Vis. 130 (7) (2022)
Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CVPR (2022)
Levent Karacan, Tolga Kerimoglu, Ismail Inan, Tolga Birdal, Erkut Erdem, Aykut Erdem
Disentangling Content and Motion for Text-Based Neural Video Manipulation. BMVC (2022)
Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. CoRR (2022)
Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. ECCV (23) (2022)
Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang
Projective Manifold Gradient Layer for Deep Rotation Regression. CVPR (2022)
Levent Karacan, Tolga Kerimoglu, Ismail Inan, Tolga Birdal, Erkut Erdem, Aykut Erdem
Disentangling Content and Motion for Text-Based Neural Video Manipulation. CoRR (2022)
Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas
6D Camera Relocalization in Visually Ambiguous Extreme Environments. CoRR (2022)
Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization. CoRR (2021)
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas
HuMoR: 3D Human Motion Model for Robust Pose Estimation. ICCV (2021)
Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas
Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV (2021)
Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. CoRR (2021)
Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas
Quantum Permutation Synchronization. CoRR (2021)
Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas
Quantum Permutation Synchronization. CVPR (2021)
Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. CVPR (2021)
Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. NeurIPS (2021)
Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang
Projective Manifold Gradient Layer for Deep Rotation Regression. CoRR (2021)
Mikaela Angelina Uy, Yen-yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CoRR (2021)
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
Weakly Supervised Learning of Rigid 3D Scene Flow. CVPR (2021)
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
Weakly Supervised Learning of Rigid 3D Scene Flow. CoRR (2021)
Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. CoRR (2021)
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas
HuMoR: 3D Human Motion Model for Robust Pose Estimation. CoRR (2021)
Faria Huq, Adrish Dey, Sahra Yusuf, Dena Bazazian, Tolga Birdal, Nina Miolane
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks. CoRR (2021)
Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. CoRR (2020)
Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal
Learning Multiview 3D Point Cloud Registration. CVPR (2020)
Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas
Continuous Geodesic Convolutions for Learning on 3D Shapes. CoRR (2020)
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas
Deformation-Aware 3D Model Embedding and Retrieval. CoRR (2020)
Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal
From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. CoRR (2020)
Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas
Synchronizing Probability Measures on Rotations via Optimal Transport. CVPR (2020)
Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal
From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. IEEE Robotics Autom. Lett. 5 (2) (2020)
Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. CoRR (2020)
Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. CoRR (2020)
Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal
Learning multiview 3D point cloud registration. CoRR (2020)
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas
Deformation-Aware 3D Model Embedding and Retrieval. ECCV (7) (2020)
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari
Quaternion Equivariant Capsule Networks for 3D Point Clouds. ECCV (1) (2020)
Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. NeurIPS (2020)
Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. ECCV (18) (2020)
Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. IEEE Trans. Pattern Anal. Mach. Intell. 42 (6) (2020)
Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas
Synchronizing Probability Measures on Rotations via Optimal Transport. CoRR (2020)
Haowen Deng, Tolga Birdal, Slobodan Ilic
3D Local Features for Direct Pairwise Registration. CVPR (2019)
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari
Quaternion Equivariant Capsule Networks for 3D Point Clouds. CoRR (2019)
Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, Federico Tombari
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data. ICCV (2019)
Haowen Deng, Tolga Birdal, Slobodan Ilic
3D Local Features for Direct Pairwise Registration. CoRR (2019)
Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. CoRR (2019)
Tolga Birdal, Umut Simsekli
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope. CVPR (2019)
Tolga Birdal, Umut Simsekli
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope. CoRR (2019)
Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
3D Point Capsule Networks. CVPR (2019)
Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
3D Point-Capsule Networks. CoRR (2018)
Haowen Deng, Tolga Birdal, Slobodan Ilic
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. ECCV (5) (2018)
Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. CVPR (2018)
Tolga Birdal, Umut Simsekli, Mustafa Onur Eken, Slobodan Ilic
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. NeurIPS (2018)
Tolga Birdal, Umut Simsekli, M. Onur Eken, Slobodan Ilic
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. CoRR (2018)
Adrian Haarbach, Tolga Birdal, Slobodan Ilic
Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation. 3DV (2018)
Tolga Birdal
Task oriented 3D sampling via genetic algorithms. SIU (2018)
Haowen Deng, Tolga Birdal, Slobodan Ilic
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CVPR (2018)
Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. CoRR (2018)
Haowen Deng, Tolga Birdal, Slobodan Ilic
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CoRR (2018)
Haowen Deng, Tolga Birdal, Slobodan Ilic
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. CoRR (2018)
Tolga Birdal, Slobodan Ilic
CAD Priors for Accurate and Flexible Instance Reconstruction. ICCV (2017)
Tolga Birdal, Slobodan Ilic
CAD Priors for Accurate and Flexible Instance Reconstruction. CoRR (2017)
Tolga Birdal, Slobodan Ilic
A point sampling algorithm for 3D matching of irregular geometries. IROS (2017)
Benjamin Busam, Tolga Birdal, Nassir Navab
Camera Pose Filtering with Local Regression Geodesicsc on the Riemannian Manifold of Dual Quaternions. CoRR (2017)
Benjamin Busam, Tolga Birdal, Nassir Navab
Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions. ICCV Workshops (2017)
Tolga Birdal, Emrah Bala, Tolga Eren, Slobodan Ilic
Online inspection of 3D parts via a locally overlapping camera network. WACV (2016)
Tolga Birdal, Ievgeniia Dobryden, Slobodan Ilic
X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment. 3DV (2016)
Umut Simsekli, Tolga Birdal
A unified probabilistic framework for robust decoding of linear barcodes. ICASSP (2015)
Tolga Birdal, Slobodan Ilic
Point Pair Features Based Object Detection and Pose Estimation Revisited. 3DV (2015)
Tolga Birdal, Emrah Bala
A Novel Method for Vectorization. CoRR (2014)
Umut Simsekli, Tolga Birdal, Emre Koc, Ali Taylan Cemgil
A factorization based recommender system for online services. SIU (2013)