3 papers
physics.geo-ph2026
Parameter-Efficient Adaptation of Pre-Trained Vision Foundation Models for Active and Passive Seismic Data Denoising
Jiahua Zhao, Umair bin Waheed, Jing Sun +3
The demand for high-resolution subsurface imaging and continuous Earth monitoring has driven rapid growth in active and passive seismic data from dense geophone deployments, distri…
physics.geo-ph2025
Physics-Trained Neural Network as Inverse Problem Solver for Potential Fields: An Example of Downward Continuation between Arbitrary Surfaces
Jing Sun, Lu Li, Liang Zhang
Downward continuation is a critical task in potential field processing, including gravity and magnetic fields, which aims to transfer data from one observation surface to another t…
cs.CV2024
ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer
Wei Dong, Han Zhou, Yuqiong Tian +4
Shadow-affected images often exhibit pronounced spatial discrepancies in color and illumination, consequently degrading various vision applications including object detection and s…