Zongrui Li

Orcid: 0009-0003-4357-9593

According to our database1, Zongrui Li authored at least 13 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
Power-Type Structural Self-Constrained Inversion Methods of Gravity and Magnetic Data.
Remote. Sens., February, 2024

The ES-GNF Method of Unstructured Tetrahedral Mesh for Fast Inversion of Gravity and Magnetic Data With Undulating Terrain.
IEEE Trans. Geosci. Remote. Sens., 2024

A Discrete Function (DF) Method for Highly Efficient Magnetization Vector Inversion of Magnetic Data.
IEEE Trans. Geosci. Remote. Sens., 2024

Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting.
CoRR, 2024

Are LLMs Good Zero-Shot Fallacy Classifiers?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Adaptive Space-Location-Weighting Function Method for High-Precision Density Inversion of Gravity Data.
Remote. Sens., December, 2023

MTCSNet: Mean Teachers Cross-Supervision Network for Semi-Supervised Cloud Detection.
Remote. Sens., April, 2023

Joint Inversion of Gravity and Magnetic Data With Tetrahedral Unstructured Grid and its Application to Mineral Exploration.
IEEE Trans. Geosci. Remote. Sens., 2023

DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
3-D Inversion of Gravity Anomalies by Combining Power-Spectrum Derived Adaptive Weighting and Cross-Gradient Regulation: Application to Molybdenum-Copper Deposit.
IEEE Trans. Geosci. Remote. Sens., 2022

NeIF: Representing General Reflectance as Neural Intrinsics Fields for Uncalibrated Photometric Stereo.
CoRR, 2022


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