5 papers
DPF-Net: Physical Imaging Model Embedded Data-Driven Underwater Image Enhancement
Han Mei, Kunqian Li, Shuaixin Liu +2
Due to the complex interplay of light absorption and scattering in the underwater environment, underwater images experience significant degradation. This research presents a two-st…
Depth-Assisted Network for Indiscernible Marine Object Counting with Adaptive Motion-Differentiated Feature Encoding
Chengzhi Ma, Kunqian Li, Shuaixin Liu +1
Indiscernible marine object counting encounters numerous challenges, including limited visibility in underwater scenes, mutual occlusion and overlap among objects, and the dynamic…
Towards the in-situ Trunk Identification and Length Measurement of Sea Cucumbers via Bézier Curve Modelling
Shuaixin Liu, Kunqian Li, Yilin Ding +4
We introduce a novel vision-based framework for in-situ trunk identification and length measurement of sea cucumbers, which plays a crucial role in the monitoring of marine ranchin…
WaterMono: Teacher-Guided Anomaly Masking and Enhancement Boosting for Robust Underwater Self-Supervised Monocular Depth Estimation
Yilin Ding, Kunqian Li, Han Mei +2
Depth information serves as a crucial prerequisite for various visual tasks, whether on land or underwater. Recently, self-supervised methods have achieved remarkable performance o…
Underwater Image Enhancement by Diffusion Model with Customized CLIP-Classifier
Shuaixin Liu, Kunqian Li, Yilin Ding +1
Underwater Image Enhancement (UIE) aims to improve the visual quality from a low-quality input. Unlike other image enhancement tasks, underwater images suffer from the unavailabili…