Haotong Lin

Orcid: 0000-0001-5862-3268

According to our database1, Haotong Lin authored at least 14 papers between 2021 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Street Gaussians for Modeling Dynamic Urban Scenes.
CoRR, 2024

2023
4K4D: Real-Time 4D View Synthesis at 4K Resolution.
CoRR, 2023

Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes.
CoRR, 2023

EasyVolcap: Accelerating Neural Volumetric Video Research.
Proceedings of the SIGGRAPH Asia 2023 Technical Communications, 2023

High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AutoRecon: Automated 3D Object Discovery and Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Scene Chronology.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
PVNet: Pixel-Wise Voting Network for 6DoF Object Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Efficient Neural Radiance Fields for Interactive Free-viewpoint Video.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Corporate innovation capacity and financial constraints: Evidence from Chinese corporations.
Proceedings of the MSIE 2022: 4th International Conference on Management Science and Industrial Engineering, Chiang Mai Thailand, April 28, 2022

Learning to Estimate Object Poses without Real Image Annotations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Neural 3D Scene Reconstruction with the Manhattan-world Assumption.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Efficient Neural Radiance Fields with Learned Depth-Guided Sampling.
CoRR, 2021


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