Zhi-Hao Lin

According to our database, Zhi-Hao Lin authored at least 11 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images.

Zhi-Hao Lin, Jia-Bin Huang, Zhengqin Li, Zhao Dong, Christian Richardt, Tuotuo Li, Michael Zollhöfer, Johannes Kopf, Shenlong Wang, Changil Kim

CoRR, 2024

Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video.

Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, Shenlong Wang

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

2023

Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving.

Yuan Shen, Bhargav Chandaka, Zhi-Hao Lin, Albert J. Zhai, Hang Cui, David A. Forsyth, Shenlong Wang

IEEE Robotics Autom. Lett., December, 2023

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video.

Zhi-Hao Lin, Bohan Liu, Yi-Ting Chen, David A. Forsyth, Jia-Bin Huang, Anand Bhattad, Shenlong Wang

CoRR, 2023

ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field.

Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning of 3D Graph Convolution Networks for Point Cloud Analysis.

Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ClimateNeRF: Physically-based Neural Rendering for Extreme Climate Synthesis.

Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang

CoRR, 2022

3D-Selfcutmix: Self-Supervised Learning for 3D Point Cloud Analysis.

Yuan-Yi Xu, Yan-Yang Ji, Sheng-Yu Huang, Zhi-Hao Lin, Yu-Chiang Frank Wang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

NeurMiPs: Neural Mixture of Planar Experts for View Synthesis.

Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang

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

2020

Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis.

Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang

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

2007

Multi-user Preference Model and Service Provision in a Smart Home Environment.

Zhi-Hao Lin, Li-Chen Fu

Proceedings of the IEEE Conference on Automation Science and Engineering, 2007