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Publication search results
found 26 matches
- 2024
- Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. 3DV 2024: 852-861 - Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CVPR 2024: 9752-9762 - Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark:
Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. ECCV (78) 2024: 309-324 - Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CoRR abs/2401.02400 (2024) - Runjia Li, Junlin Han, Luke Melas-Kyriazi, Chunyi Sun, Zhaochong An, Zhongrui Gui, Shuyang Sun, Philip Torr, Tomas Jakab:
DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer. CoRR abs/2409.08271 (2024) - Thomas Hanwen Zhu, Ruining Li, Tomas Jakab:
DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors. CoRR abs/2409.08278 (2024) - 2023
- Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. Int. J. Comput. Vis. 131(10): 2623-2634 (2023) - Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CVPR 2023: 8792-8802 - Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. CoRR abs/2304.10535 (2023) - Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark:
Calibrated Uncertainties for Neural Radiance Fields. CoRR abs/2312.02350 (2023) - Jinghao Zhou, Tomas Jakab, Philip Torr, Christian Rupprecht:
Scene-Conditional 3D Object Stylization and Composition. CoRR abs/2312.12419 (2023) - 2022
- Tomás Pohl, Marek Jakab, Wanda Benesova:
Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease. Int. J. Imaging Syst. Technol. 32(2): 673-686 (2022) - Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CoRR abs/2211.12497 (2022) - 2021
- Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR 2021: 12783-12792 - Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR abs/2104.11224 (2021) - Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. CoRR abs/2107.10844 (2021) - 2020
- Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos. CVPR 2020: 8784-8794 - 2019
- Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Learning Landmarks from Unaligned Data using Image Translation. CoRR abs/1907.02055 (2019) - 2018
- Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Unsupervised Learning of Object Landmarks through Conditional Image Generation. NeurIPS 2018: 4020-4031 - Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Conditional Image Generation for Learning the Structure of Visual Objects. CoRR abs/1806.07823 (2018) - 2017
- Katharina Grünberg, András Jakab, Georg Langs, Tomas Salas Fernandez, Marianne Winterstein, Marc-André Weber, Markus Krenn, Oscar Alfonso Jiménez del Toro:
Ethical and Privacy Aspects of Using Medical Image Data. Cloud-Based Benchmarking of Medical Image Analysis 2017: 33-43 - Katharina Grünberg, Oscar Alfonso Jiménez del Toro, András Jakab, Georg Langs, Tomas Salas Fernandez, Marianne Winterstein, Marc-André Weber, Markus Krenn:
Annotating Medical Image Data. Cloud-Based Benchmarking of Medical Image Analysis 2017: 45-67 - Markus Krenn, Katharina Grünberg, Oscar Alfonso Jiménez del Toro, András Jakab, Tomàs Salas Fernandez, Marianne Winterstein, Marc-André Weber, Georg Langs:
Datasets Created in VISCERAL. Cloud-Based Benchmarking of Medical Image Analysis 2017: 69-84 - 2016
- Oscar Alfonso Jiménez del Toro, Henning Müller, Markus Krenn, Katharina Gruenberg, Abdel Aziz Taha, Marianne Winterstein, Ivan Eggel, Antonio Foncubierta-Rodríguez, Orcun Goksel, András Jakab, Georgios Kontokotsios, Georg Langs, Bjoern H. Menze, Tomas Salas Fernandez, Roger Schaer, Anna Walleyo, Marc-André Weber, Yashin Dicente Cid, Tobias Gass, Mattias P. Heinrich, Fucang Jia, Fredrik Kahl, Razmig Kéchichian, Dominic Mai, Assaf B. Spanier, Graham Vincent, Chunliang Wang, Daniel Wyeth, Allan Hanbury:
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Trans. Medical Imaging 35(11): 2459-2475 (2016) - 2015
- Orcun Goksel, Antonio Foncubierta-Rodríguez, Oscar Alfonso Jiménez del Toro, Henning Müller, Georg Langs, Marc-André Weber, Bjoern H. Menze, Ivan Eggel, Katharina Gruenberg, Marianne Winterstein, Markus Holzer, Markus Krenn, Georgios Kontokotsios, Sokratis Metallidis, Roger Schaer, Abdel Aziz Taha, András Jakab, Tomas Salas Fernandez, Allan Hanbury:
Overview of the VISCERAL Challenge at ISBI 2015. VISCERAL Challenge@ISBI 2015: 6-11 - Tomás Cádrik, Peter Takác, Jaroslav Ondo, Peter Sincák, Marián Mach, Frantisek Jakab, Filippo Cavallo, Manuele Bonaccorsi:
Cloud-Based Robots and Intelligent Space Teleoperation Tools. RiTA 2015: 599-610
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