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2020 – today
- 2024
[j6]Johannes Sebastian Mueller-Roemer, Vladislav Golyanik, Tolga Birdal:
Quantum Visual Computing. IEEE Computer Graphics and Applications 44(5): 10-13 (2024)- [c47]Shishir Reddy Vutukur
, Heike Brock, Benjamin Busam, Tolga Birdal, Andreas Hutter, Slobodan Ilic:
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering. 3DV 2024: 1146-1155 - [c46]Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal:
Fun with Flags: Robust Principal Directions via Flag Manifolds. CVPR 2024: 330-340 - [c45]Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll:
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. CVPR 2024: 1661-1671 - [c44]Zhiying Leng, Tolga Birdal, Xiaohui Liang, Federico Tombari:
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation. CVPR 2024: 19691-19700 - [c43]Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool:
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CVPR 2024: 26191-26201 - [c42]Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal:
SignAvatars: A Large-Scale 3D Sign Language Holistic Motion Dataset and Benchmark. ECCV (5) 2024: 1-19 - [c41]Shishir Reddy Vutukur, Rasmus Laurvig Haugaard, Junwen Huang, Benjamin Busam, Tolga Birdal:
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences. ECCV (2) 2024: 351-369 - [c40]Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal:
Variational Inference for SDEs Driven by Fractional Noise. ICLR 2024 - [c39]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:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - [i49]Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal:
Fun with Flags: Robust Principal Directions via Flag Manifolds. CoRR abs/2401.04071 (2024) - [i48]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 abs/2402.02441 (2024) - [i47]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:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - [i46]Zhiying Leng, Tolga Birdal, Xiaohui Liang, Federico Tombari:
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation. CoRR abs/2403.00372 (2024) - [i45]Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll:
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. CoRR abs/2403.03122 (2024) - [i44]Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij:
Attending to Topological Spaces: The Cellular Transformer. CoRR abs/2405.14094 (2024) - [i43]Shishir Reddy Vutukur, Heike Brock, Benjamin Busam, Tolga Birdal, Andreas Hutter, Slobodan Ilic:
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering. CoRR abs/2406.13796 (2024) - [i42]Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli:
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. CoRR abs/2407.08723 (2024) - [i41]Simone Foti, Stefanos Zafeiriou, Tolga Birdal:
UV-free Texture Generation with Denoising and Geodesic Heat Diffusions. CoRR abs/2408.16762 (2024) - [i40]Shishir Reddy Vutukur, Rasmus Laurvig Haugaard, Junwen Huang, Benjamin Busam, Tolga Birdal:
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences. CoRR abs/2409.06683 (2024) - 2023
- [j5]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): 2038-2053 (2023) - [c38]Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, Tolga Birdal, Michael T. Schaub:
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs. ACSSC 2023: 799-803 - [c37]Nathan Mankovich, Tolga Birdal:
Chordal Averaging on Flag Manifolds and Its Applications. ICCV 2023: 3858-3867 - [c36]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: 7489-7500 - [c35]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: 3-8 - [i39]Nathan Mankovich, Tolga Birdal:
Chordal Averaging on Flag Manifolds and Its Applications. CoRR abs/2303.13501 (2023) - [i38]Moayed Haji Ali, Andrew Bond, Tolga Birdal, Duygu Ceylan, Levent Karacan, Erkut Erdem, Aykut Erdem:
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs. CoRR abs/2304.06020 (2023) - [i37]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.:
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - [i36]Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal:
Variational Inference for SDEs Driven by Fractional Noise. CoRR abs/2310.12975 (2023) - [i35]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 abs/2310.15128 (2023) - [i34]Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal:
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark. CoRR abs/2310.20436 (2023) - [i33]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 abs/2312.09504 (2023) - 2022
- [j4]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): 1627-1654 (2022) - [j3]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): 2321-2336 (2022) - [c34]Levent Karacan, Tolga Kerimoglu, Ismail Inan, Tolga Birdal, Erkut Erdem, Aykut Erdem:
Disentangling Content and Motion for Text-Based Neural Video Manipulation. BMVC 2022: 443 - [c33]Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang:
Projective Manifold Gradient Layer for Deep Rotation Regression. CVPR 2022: 6636-6645 - [c32]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: 11840-11850 - [c31]Alp Yurtsever, Tolga Birdal, Vladislav Golyanik:
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. ECCV (23) 2022: 352-369 - [i32]Alp Yurtsever, Tolga Birdal, Vladislav Golyanik:
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization. CoRR abs/2203.12633 (2022) - [i31]Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas:
6D Camera Relocalization in Visually Ambiguous Extreme Environments. CoRR abs/2207.06333 (2022) - [i30]Levent Karacan, Tolga Kerimoglu, Ismail Inan, Tolga Birdal, Erkut Erdem, Aykut Erdem:
Disentangling Content and Motion for Text-Based Neural Video Manipulation. CoRR abs/2211.02980 (2022) - 2021
- [c30]Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. CVPR 2021: 5692-5703 - [c29]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: 7108-7118 - [c28]Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas:
Quantum Permutation Synchronization. CVPR 2021: 13122-13133 - [c27]Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas:
HuMoR: 3D Human Motion Model for Robust Pose Estimation. ICCV 2021: 11468-11479 - [c26]Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli:
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. NeurIPS 2021: 6776-6789 - [c25]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV 2021: 134-144 - [i29]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 abs/2101.06605 (2021) - [i28]Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas:
Quantum Permutation Synchronization. CoRR abs/2101.07755 (2021) - [i27]Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. CoRR abs/2102.08945 (2021) - [i26]Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas:
HuMoR: 3D Human Motion Model for Robust Pose Estimation. CoRR abs/2105.04668 (2021) - [i25]Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang:
Projective Manifold Gradient Layer for Deep Rotation Regression. CoRR abs/2110.11657 (2021) - [i24]Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu:
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization. CoRR abs/2111.12878 (2021) - [i23]Tolga Birdal, Aaron Lou, Leonidas J. Guibas, Umut Simsekli:
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks. CoRR abs/2111.13171 (2021) - [i22]Faria Huq, Adrish Dey, Sahra Yusuf, Dena Bazazian, Tolga Birdal, Nina Miolane:
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks. CoRR abs/2111.14762 (2021) - [i21]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 abs/2112.09329 (2021) - 2020
- [j2]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): 1333-1347 (2020) - [j1]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): 1764-1771 (2020) - [c24]Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas:
Synchronizing Probability Measures on Rotations via Optimal Transport. CVPR 2020: 1566-1576 - [c23]Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning Multiview 3D Point Cloud Registration. CVPR 2020: 1756-1766 - [c22]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: 1-19 - [c21]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: 139-157 - [c20]Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas:
Deformation-Aware 3D Model Embedding and Retrieval. ECCV (7) 2020: 397-413 - [c19]Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas:
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. NeurIPS 2020 - [i20]Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning multiview 3D point cloud registration. CoRR abs/2001.05119 (2020) - [i19]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 abs/2001.07360 (2020) - [i18]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. CoRR abs/2002.02506 (2020) - [i17]Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas:
Synchronizing Probability Measures on Rotations via Optimal Transport. CoRR abs/2004.00663 (2020) - [i16]Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas:
Deformation-Aware 3D Model Embedding and Retrieval. CoRR abs/2004.01228 (2020) - [i15]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 abs/2004.04807 (2020) - [i14]Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas:
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. CoRR abs/2008.02792 (2020) - [i13]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 abs/2012.11002 (2020)
2010 – 2019
- 2019
- [b1]Tolga Birdal:
Geometric Methods for 3D Reconstruction from Large Point Clouds (Geometrische Methoden zur 3D-Rekonstruktion aus großen Punktwolken). Technical University of Munich, Germany, 2019 - [c18]Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari:
3D Point Capsule Networks. CVPR 2019: 1009-1018 - [c17]Haowen Deng, Tolga Birdal, Slobodan Ilic:
3D Local Features for Direct Pairwise Registration. CVPR 2019: 3244-3253 - [c16]Tolga Birdal, Umut Simsekli:
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope. CVPR 2019: 11105-11116 - [c15]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: 6840-6849 - [i12]Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm:
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. CoRR abs/1901.01255 (2019) - [i11]Haowen Deng, Tolga Birdal, Slobodan Ilic:
3D Local Features for Direct Pairwise Registration. CoRR abs/1904.04281 (2019) - [i10]Tolga Birdal, Umut Simsekli:
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope. CoRR abs/1904.05814 (2019) - [i9]Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari:
Quaternion Equivariant Capsule Networks for 3D Point Clouds. CoRR abs/1912.12098 (2019) - 2018
- [c14]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: 381-389 - [c13]Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CVPR 2018: 195-205 - [c12]Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm:
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. CVPR 2018: 3530-3540 - [c11]Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. ECCV (5) 2018: 620-638 - [c10]Tolga Birdal, Umut Simsekli, Mustafa Onur Eken, Slobodan Ilic:
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. NeurIPS 2018: 306-317 - [c9]Tolga Birdal:
Task oriented 3D sampling via genetic algorithms. SIU 2018: 1-4 - [i8]Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. CoRR abs/1802.02669 (2018) - [i7]Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm:
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. CoRR abs/1803.07191 (2018) - [i6]Tolga Birdal, Umut Simsekli, M. Onur Eken, Slobodan Ilic:
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC. CoRR abs/1805.12279 (2018) - [i5]Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. CoRR abs/1808.10322 (2018) - [i4]Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari:
3D Point-Capsule Networks. CoRR abs/1812.10775 (2018) - 2017
- [c8]Tolga Birdal, Slobodan Ilic:
CAD Priors for Accurate and Flexible Instance Reconstruction. ICCV 2017: 133-142 - [c7]Benjamin Busam, Tolga Birdal, Nassir Navab:
Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions. ICCV Workshops 2017: 2436-2445 - [c6]Tolga Birdal, Slobodan Ilic:
A point sampling algorithm for 3D matching of irregular geometries. IROS 2017: 6871-6878 - [i3]Benjamin Busam, Tolga Birdal, Nassir Navab:
Camera Pose Filtering with Local Regression Geodesicsc on the Riemannian Manifold of Dual Quaternions. CoRR abs/1704.07072 (2017) - [i2]Tolga Birdal, Slobodan Ilic:
CAD Priors for Accurate and Flexible Instance Reconstruction. CoRR abs/1705.03111 (2017) - 2016
- [c5]Tolga Birdal, Ievgeniia Dobryden, Slobodan Ilic:
X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment. 3DV 2016: 556-564 - [c4]Tolga Birdal, Emrah Bala, Tolga Eren, Slobodan Ilic:
Online inspection of 3D parts via a locally overlapping camera network. WACV 2016: 1-10 - 2015
- [c3]Tolga Birdal, Slobodan Ilic:
Point Pair Features Based Object Detection and Pose Estimation Revisited. 3DV 2015: 527-535 - [c2]Umut Simsekli, Tolga Birdal:
A unified probabilistic framework for robust decoding of linear barcodes. ICASSP 2015: 1946-1950 - 2014
- [i1]Tolga Birdal, Emrah Bala:
A Novel Method for Vectorization. CoRR abs/1403.0728 (2014) - 2013
- [c1]Umut Simsekli, Tolga Birdal, Emre Koc, Ali Taylan Cemgil:
A factorization based recommender system for online services. SIU 2013: 1-4
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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