Search Results for author: Zongxin He

Found 3 papers, 1 papers with code

DGNet: Dynamic Gradient-Guided Network for Water-Related Optics Image Enhancement

no code implementations • 12 Dec 2023 • Jingchun Zhou, Zongxin He, Qiuping Jiang, Kui Jiang, Xianping Fu, Xuelong Li

To solve this issue, previous methods often idealize the degradation process, and neglect the impact of medium noise and object motion on the distribution of image features, limiting the generalization and adaptability of the model.

SSIM UIE

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WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction

no code implementations • 12 Dec 2023 • Jingchun Zhou, Tianyu Liang, Dehuan Zhang, Zongxin He

Neural Radiance Field (NeRF) technology demonstrates immense potential in novel viewpoint synthesis tasks, due to its physics-based volumetric rendering process, which is particularly promising in underwater scenes.

Image Restoration

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AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection

1 code implementation • 23 Aug 2023 • Jingchun Zhou, Zongxin He, Kin-Man Lam, Yudong Wang, Weishi Zhang, Chunle Guo, Chongyi Li

In this paper, we present a novel Amplitude-Modulated Stochastic Perturbation and Vortex Convolutional Network, AMSP-UOD, designed for underwater object detection.

FAD Object +2

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