Shangzhe Wu

Kai Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hearing Anything Anywhere.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning the 3D Fauna of the Web.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2024

2023

DOVE: Learning Deformable 3D Objects by Watching Videos.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., October, 2023

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (Invited Paper).

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos.

[BibT_eX]

[DOI]

CoRR, 2023

Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Three-Dimensional Object Segmentation Method based on YOLO, SAM, and NeRF.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Computer, 2023

Seeing a Rose in Five Thousand Ways.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MagicPony: Learning Articulated 3D Animals in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ONeRF: Unsupervised 3D Object Segmentation from Multiple Views.

[BibT_eX]

[DOI]

CoRR, 2022

Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

De-rendering 3D Objects in the Wild.

[BibT_eX]

[DOI]

Felix Wimbauer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2021

NeRF-: Neural Radiance Fields Without Known Camera Parameters.

[BibT_eX]

[DOI]

Victor Adrian Prisacariu

CoRR, 2021

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

De-Rendering the World's Revolutionary Artefacts.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Self-Supervised Localisation between Range Sensors and Overhead Imagery.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Deep High Dynamic Range Imaging with Large Foreground Motions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Image Generation from Sketch Constraint Using Contextual GAN.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Sketch-to-Image Generation Using Deep Contextual Completion.

[BibT_eX]

[DOI]

CoRR, 2017

End-to-End Deep HDR Imaging with Large Foreground Motions.

[BibT_eX]

[DOI]

CoRR, 2017

2015

Multilevel Dimension Reduction Monte-Carlo Simulation for High-dimensional Stochastic Models in Finance.

[BibT_eX]

[DOI]

Duy-Minh Dang

Qifan Xu