Yao Feng
Orcid: 0000-0002-9481-9783Affiliations:
- Stanford University, CA, USA
- ETH Zurich, Zürich, Switzerland (former)
- Max Planck Institute for Intelligent Systems (MPI-IS), Tübingen, Germany (former)
According to our database1,
Yao Feng
authored at least 25 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on twitter.com
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on orcid.org
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on is.mpg.de
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on github.com
On csauthors.net:
Bibliography
2025
CoRR, July, 2025
CoRR, March, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
CoRR, 2024
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the International Conference on 3D Vision, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022
2021
ACM Trans. Graph., 2021
Proceedings of the International Conference on 3D Vision, 2021
2019
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image.
CoRR, 2019
2018
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network.
Proceedings of the Computer Vision - ECCV 2018, 2018