Tolga Birdal - RankMe

135 papers A* 33A 5Misc 2Journal 79Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	COMPOSE: Hypergraph Cover Optimization for Multi-view 3D Human Pose Estimation. CoRR Tony Danjun Wang, Tolga Birdal, Nassir Navab, Lennart Bastian
2026	J	`jnl`	From Data Statistics to Feature Geometry: How Correlations Shape Superposition. CoRR Lucas Prieto, Edward Stevinson, Melih Barsbey, Tolga Birdal, Pedro A. M. Mediano
2026	J	`jnl`	Parallelised Differentiable Straightest Geodesics for 3D Meshes. CoRR Hippolyte Verninas, Caner Korkmaz, Stefanos Zafeiriou, Tolga Birdal, Simone Foti
2026	J	`jnl`	TopoOR: A Unified Topological Scene Representation for the Operating Room. CoRR Tony Danjun Wang, Ka Young Kim, Tolga Birdal, Nassir Navab, Lennart Bastian
2025	A*	`conf`	A Flag Decomposition for Hierarchical Datasets. CVPR Nathan Mankovich, Ignacio Santamaría, Gustau Camps-Valls, Tolga Birdal
2025	J	`jnl`	A Flag Decomposition for Hierarchical Datasets. CoRR Nathan Mankovich, Ignacio Santamaría, Gustau Camps-Valls, Tolga Birdal
2025	J	`jnl`	Adversarial Attacks Leverage Interference Between Features in Superposition. CoRR Edward Stevinson, Lucas Prieto, Melih Barsbey, Tolga Birdal
2025	J	`jnl`	Continuous-Time SO(3) Forecasting with Savitzky-Golay Neural Controlled Differential Equations. CoRR Lennart Bastian, Mohammad Rashed, Nassir Navab, Tolga Birdal
2025	A*	`conf`	Convex Formulations for Training Two-Layer ReLU Neural Networks. ICLR Karthik Prakhya, Tolga Birdal, Alp Yurtsever
2025	J	`jnl`	Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework. CoRR 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
2025	J	`jnl`	CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations. CoRR Caner Korkmaz, Brighton Nuwagira, Baris Coskunuzer, Tolga Birdal
2025	A*	`conf`	Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera. CVPR Zhengdi Yu, Stefanos Zafeiriou, Tolga Birdal
2025	J	`jnl`	Efficient Training of Neural SDEs Using Stochastic Optimal Control. CoRR Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal
2025	J	`jnl`	Forecasting Continuous Non-Conservative Dynamical Systems in SO(3). CoRR Lennart Bastian, Mohammad Rashed, Nassir Navab, Tolga Birdal
2025	J	`jnl`	Fractional Diffusion Bridge Models. CoRR Gabriel Nobis, Maximilian Springenberg, Arina Belova, Rembert Daems, Christoph Knochenhauer, Manfred Opper, Tolga Birdal, Wojciech Samek
2025	J	`jnl`	Geometric Neural Distance Fields for Learning Human Motion Priors. CoRR Zhengdi Yu, Simone Foti, Linguang Zhang, Amy Zhao, Cem Keskin, Stefanos Zafeiriou, Tolga Birdal
2025	A*	`conf`	Grokking at the Edge of Numerical Stability. ICLR Lucas Prieto, Melih Barsbey, Pedro A. M. Mediano, Tolga Birdal
2025	J	`jnl`	Grokking at the Edge of Numerical Stability. CoRR Lucas Prieto, Melih Barsbey, Pedro A. M. Mediano, Tolga Birdal
2025	J	`jnl`	HOG-Diff: Higher-Order Guided Diffusion for Graph Generation. CoRR Yiming Huang, Tolga Birdal
2025	J	`jnl`	Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility. CoRR Melih Barsbey, Lucas Prieto, Stefanos Zafeiriou, Tolga Birdal
2025	J	`jnl`	MoLingo: Motion-Language Alignment for Text-to-Motion Generation. CoRR Yannan He, Garvita Tiwari, Xiaohan Zhang, Pankaj Bora, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
2025	J	`jnl`	Mutual Information Free Topological Generalization Bounds via Stability. CoRR Mario Tuci, Lennart Bastian, Benjamin Dupuis, Nassir Navab, Tolga Birdal, Umut Simsekli
2025	J	`jnl`	On the Interaction of Compressibility and Adversarial Robustness. CoRR Melih Barsbey, Antônio H. Ribeiro, Umut Simsekli, Tolga Birdal
2025	J	`jnl`	Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms. CoRR Natacha Kuete Meli, Shuteng Wang, Marcel Seelbach Benkner, Michele Sasdelli, Tat-Jun Chin, Tolga Birdal, Michael Möller, Vladislav Golyanik
2025	J	`jnl`	Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery. CoRR Ming Hu, Zhengdi Yu, Feilong Tang, Kaiwen Chen, Yulong Li, Imran Razzak, Junjun He, Tolga Birdal, Kaijing Zhou, Zongyuan Ge
2024	—	`conf`	Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences. ECCV (2) Shishir Reddy Vutukur, Rasmus Laurvig Haugaard, Junwen Huang, Benjamin Busam, Tolga Birdal
2024	J	`jnl`	Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences. CoRR Shishir Reddy Vutukur, Rasmus Laurvig Haugaard, Junwen Huang, Benjamin Busam, Tolga Birdal
2024	J	`jnl`	Attending to Topological Spaces: The Cellular Transformer. CoRR Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij
2024	J	`jnl`	Convex Formulations for Training Two-Layer ReLU Neural Networks. CoRR Karthik Prakhya, Tolga Birdal, Alp Yurtsever
2024	J	`jnl`	Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera. CoRR Zhengdi Yu, Stefanos Zafeiriou, Tolga Birdal
2024	A*	`conf`	Fun with Flags: Robust Principal Directions via Flag Manifolds. CVPR Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal
2024	J	`jnl`	Fun with Flags: Robust Principal Directions via Flag Manifolds. CoRR Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal
2024	A*	`conf`	Generative Fractional Diffusion Models. NeurIPS 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, Luis Oala, Wojciech Samek
2024	A*	`conf`	HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation. CVPR Zhiying Leng, Tolga Birdal, Xiaohui Liang, Federico Tombari
2024	J	`jnl`	HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation. CoRR Zhiying Leng, Tolga Birdal, Xiaohui Liang, Federico Tombari
2024	A*	`conf`	NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. CVPR Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
2024	J	`jnl`	NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. CoRR Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
2024	—	`conf`	NeRF-Feat: 6D Object Pose Estimation using Feature Rendering. 3DV Shishir Reddy Vutukur, Heike Brock, Benjamin Busam, Tolga Birdal, Andreas Hutter, Slobodan Ilic
2024	J	`jnl`	NeRF-Feat: 6D Object Pose Estimation using Feature Rendering. CoRR Shishir Reddy Vutukur, Heike Brock, Benjamin Busam, Tolga Birdal, Andreas Hutter, Slobodan Ilic
2024	J	`jnl`	Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR 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
2024	A*	`conf`	Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 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
2024	A*	`conf`	Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CVPR Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool
2024	A	`conf`	Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. BMVC Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2024	J	`jnl`	Quantum Visual Computing. IEEE Computer Graphics and Applications Johannes Sebastian Mueller-Roemer, Vladislav Golyanik, Tolga Birdal
2024	—	`conf`	SignAvatars: A Large-Scale 3D Sign Language Holistic Motion Dataset and Benchmark. ECCV (5) Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR 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
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. J. Mach. Learn. Res. 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
2024	A*	`conf`	Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. NeurIPS Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli
2024	J	`jnl`	Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. CoRR Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli
2024	A*	`conf`	UV-free Texture Generation with Denoising and Geodesic Heat Diffusion. NeurIPS Simone Foti, Stefanos Zafeiriou, Tolga Birdal
2024	J	`jnl`	UV-free Texture Generation with Denoising and Geodesic Heat Diffusions. CoRR Simone Foti, Stefanos Zafeiriou, Tolga Birdal
2024	A*	`conf`	Variational Inference for SDEs Driven by Fractional Noise. ICLR Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal
2023	A*	`conf`	Chordal Averaging on Flag Manifolds and Its Applications. ICCV Nathan Mankovich, Tolga Birdal
2023	J	`jnl`	Chordal Averaging on Flag Manifolds and Its Applications. CoRR Nathan Mankovich, Tolga Birdal
2023	Misc	`conf`	Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. ACSSC Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub
2023	J	`jnl`	Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. CoRR Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub
2023	J	`jnl`	ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR 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.
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 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
2023	J	`jnl`	Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization. IEEE Trans. Pattern Anal. Mach. Intell. Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu
2023	J	`jnl`	Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. CoRR Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2023	J	`jnl`	SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark. CoRR Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal
2023	J	`jnl`	Variational Inference for SDEs Driven by Fractional Noise. CoRR Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal
2023	A*	`conf`	VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs. ICCV Moayed Haji Ali, Andrew Bond, Levent Karacan, Tolga Birdal, Erkut Erdem, Duygu Ceylan, Aykut Erdem
2023	J	`jnl`	VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs. CoRR Moayed Haji Ali, Andrew Bond, Tolga Birdal, Duygu Ceylan, Levent Karacan, Erkut Erdem, Aykut Erdem
2022	J	`jnl`	3DPointCaps++: Learning 3D Representations with Capsule Networks. Int. J. Comput. Vis. Yongheng Zhao, Guangchi Fang, Yulan Guo, Leonidas J. Guibas, Federico Tombari, Tolga Birdal
2022	J	`jnl`	6D Camera Relocalization in Visually Ambiguous Extreme Environments. CoRR Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas
2022	J	`jnl`	Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. Int. J. Comput. Vis. Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal
2022	A	`conf`	Disentangling Content and Motion for Text-Based Neural Video Manipulation. BMVC Levent Karacan, Tolga Kerimoglu, Ismail Inan, Tolga Birdal, Erkut Erdem, Aykut Erdem
2022	J	`jnl`	Disentangling Content and Motion for Text-Based Neural Video Manipulation. CoRR Levent Karacan, Tolga Kerimoglu, Ismail Inan, Tolga Birdal, Erkut Erdem, Aykut Erdem
2022	A*	`conf`	Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CVPR Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas
2022	A*	`conf`	Projective Manifold Gradient Layer for Deep Rotation Regression. CVPR Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang
2022	—	`conf`	Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. ECCV (23) Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
2022	J	`jnl`	Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. CoRR Alp Yurtsever, Tolga Birdal, Vladislav Golyanik
2021	A	`conf`	Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas
2021	A*	`conf`	HuMoR: 3D Human Motion Model for Robust Pose Estimation. ICCV Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas
2021	J	`jnl`	HuMoR: 3D Human Motion Model for Robust Pose Estimation. CoRR Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas
2021	A*	`conf`	Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. NeurIPS Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli
2021	J	`jnl`	Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. CoRR Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli
2021	A*	`conf`	MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. CVPR Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas
2021	J	`jnl`	MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. CoRR Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas
2021	J	`jnl`	Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization. CoRR Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu
2021	J	`jnl`	Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CoRR Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas
2021	J	`jnl`	Projective Manifold Gradient Layer for Deep Rotation Regression. CoRR Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang
2021	A*	`conf`	Quantum Permutation Synchronization. CVPR Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas
2021	J	`jnl`	Quantum Permutation Synchronization. CoRR Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas
2021	J	`jnl`	Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks. CoRR Faria Huq, Adrish Dey, Sahra Yusuf, Dena Bazazian, Tolga Birdal, Nina Miolane
2021	A*	`conf`	Weakly Supervised Learning of Rigid 3D Scene Flow. CVPR Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
2021	J	`jnl`	Weakly Supervised Learning of Rigid 3D Scene Flow. CoRR Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
2020	—	`conf`	6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. ECCV (18) Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab
2020	J	`jnl`	6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. CoRR Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab
2020	A*	`conf`	CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. NeurIPS Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas
2020	J	`jnl`	CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. CoRR Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas
2020	J	`jnl`	Continuous Geodesic Convolutions for Learning on 3D Shapes. CoRR Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas
2020	J	`jnl`	Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. CoRR Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal
2020	—	`conf`	Deformation-Aware 3D Model Embedding and Retrieval. ECCV (7) Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas
2020	J	`jnl`	Deformation-Aware 3D Model Embedding and Retrieval. CoRR Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas
2020	J	`jnl`	From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. CoRR Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal
2020	J	`jnl`	From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. IEEE Robotics Autom. Lett. Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal
2020	J	`jnl`	Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. IEEE Trans. Pattern Anal. Mach. Intell. Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm
2020	A*	`conf`	Learning Multiview 3D Point Cloud Registration. CVPR Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal
2020	J	`jnl`	Learning multiview 3D point cloud registration. CoRR Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal
2020	—	`conf`	Quaternion Equivariant Capsule Networks for 3D Point Clouds. ECCV (1) Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari
2020	A*	`conf`	Synchronizing Probability Measures on Rotations via Optimal Transport. CVPR Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas
2020	J	`jnl`	Synchronizing Probability Measures on Rotations via Optimal Transport. CoRR Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas
2019	A*	`conf`	3D Local Features for Direct Pairwise Registration. CVPR Haowen Deng, Tolga Birdal, Slobodan Ilic
2019	J	`jnl`	3D Local Features for Direct Pairwise Registration. CoRR Haowen Deng, Tolga Birdal, Slobodan Ilic
2019	A*	`conf`	3D Point Capsule Networks. CVPR Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
2019	A*	`conf`	Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data. ICCV Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, Federico Tombari
2019	J	`jnl`	Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. CoRR Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm
2019	—	`—`	Geometric Methods for 3D Reconstruction from Large Point Clouds (Geometrische Methoden zur 3D-Rekonstruktion aus großen Punktwolken) Tolga Birdal
2019	A*	`conf`	Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope. CVPR Tolga Birdal, Umut Simsekli
2019	J	`jnl`	Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope. CoRR Tolga Birdal, Umut Simsekli
2019	J	`jnl`	Quaternion Equivariant Capsule Networks for 3D Point Clouds. CoRR Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari
2018	J	`jnl`	3D Point-Capsule Networks. CoRR Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
2018	A*	`conf`	A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. CVPR Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm
2018	J	`jnl`	A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. CoRR Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm
2018	A*	`conf`	Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. NeurIPS Tolga Birdal, Umut Simsekli, Mustafa Onur Eken, Slobodan Ilic
2018	J	`jnl`	Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. CoRR Tolga Birdal, Umut Simsekli, M. Onur Eken, Slobodan Ilic
2018	—	`conf`	PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. ECCV (5) Haowen Deng, Tolga Birdal, Slobodan Ilic
2018	J	`jnl`	PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. CoRR Haowen Deng, Tolga Birdal, Slobodan Ilic
2018	A*	`conf`	PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CVPR Haowen Deng, Tolga Birdal, Slobodan Ilic
2018	J	`jnl`	PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CoRR Haowen Deng, Tolga Birdal, Slobodan Ilic
2018	—	`conf`	Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation. 3DV Adrian Haarbach, Tolga Birdal, Slobodan Ilic
2018	—	`conf`	Task oriented 3D sampling via genetic algorithms. SIU Tolga Birdal
2017	A	`conf`	A point sampling algorithm for 3D matching of irregular geometries. IROS Tolga Birdal, Slobodan Ilic
2017	A*	`conf`	CAD Priors for Accurate and Flexible Instance Reconstruction. ICCV Tolga Birdal, Slobodan Ilic
2017	J	`jnl`	CAD Priors for Accurate and Flexible Instance Reconstruction. CoRR Tolga Birdal, Slobodan Ilic
2017	—	`conf`	Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions. ICCV Workshops Benjamin Busam, Tolga Birdal, Nassir Navab
2017	J	`jnl`	Camera Pose Filtering with Local Regression Geodesicsc on the Riemannian Manifold of Dual Quaternions. CoRR Benjamin Busam, Tolga Birdal, Nassir Navab
2016	A	`conf`	Online inspection of 3D parts via a locally overlapping camera network. WACV Tolga Birdal, Emrah Bala, Tolga Eren, Slobodan Ilic
2016	—	`conf`	X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment. 3DV Tolga Birdal, Ievgeniia Dobryden, Slobodan Ilic
2015	Misc	`conf`	A unified probabilistic framework for robust decoding of linear barcodes. ICASSP Umut Simsekli, Tolga Birdal
2015	—	`conf`	Point Pair Features Based Object Detection and Pose Estimation Revisited. 3DV Tolga Birdal, Slobodan Ilic
2014	J	`jnl`	A Novel Method for Vectorization. CoRR Tolga Birdal, Emrah Bala
2013	—	`conf`	A factorization based recommender system for online services. SIU Umut Simsekli, Tolga Birdal, Emre Koc, Ali Taylan Cemgil