Chen Gao

Orcid: 0000-0002-7825-0048

Affiliations:
  • Meta, Seattle, WA, USA
  • Virginia Tech, Blacksburg, USA (PhD 2022)


According to our database1, Chen Gao authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Modeling Ambient Scene Dynamics for Free-view Synthesis.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

SpecNeRF: Gaussian Directional Encoding for Specular Reflections.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
OmnimatteRF: Robust Omnimatte with 3D Background Modeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Progressively Optimized Local Radiance Fields for Robust View Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Dynamic Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Consistent Visual Synthesis.
PhD thesis, 2022

2021
Dynamic View Synthesis from Dynamic Monocular Video.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Portrait Neural Radiance Fields from a Single Image.
CoRR, 2020

DRG: Dual Relation Graph for Human-Object Interaction Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Flow-edge Guided Video Completion.
Proceedings of the Computer Vision - ECCV 2020, 2020

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection.
Proceedings of the British Machine Vision Conference 2018, 2018


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