5 citations · 8 across the 3 of their papers we have counts for
3 papers · 1 filter
WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction
Jingchun Zhou, Tianyu Liang, Dehuan Zhang +1
Neural Radiance Field (NeRF) technology demonstrates immense potential in novel viewpoint synthesis tasks, due to its physics-based volumetric rendering process, which is particula…
DGNet: Dynamic Gradient-Guided Network for Water-Related Optics Image Enhancement
Jingchun Zhou, Zongxin He, Qiuping Jiang +3
Underwater image enhancement (UIE) is a challenging task due to the complex degradation caused by underwater environments. To solve this issue, previous methods often idealize the…
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
Jingchun Zhou, Zongxin He, Kin-Man Lam +4
In this paper, we present a novel Amplitude-Modulated Stochastic Perturbation and Vortex Convolutional Network, AMSP-UOD, designed for underwater object detection. AMSP-UOD specifi…