5 citations · 11 across the 10 of their papers we have counts for
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Ocean4D: Generative Underwater 4D Reconstruction via Medium-Aware Video Diffusion
Yuqiang Huang, Yuxi Wang, Junyu Dong +1
Underwater 4D reconstruction remains challenging due to the coupling between degraded light transport in participating media and dynamic water variations. Most existing Methods are…
Superpixel Cost Volume Excitation for Stereo Matching
Shanglong Liu, Lin Qi, Junyu Dong +2
In this work, we concentrate on exciting the intrinsic local consistency of stereo matching through the incorporation of superpixel soft constraints, with the objective of mitigati…
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
Long Chen, Yuzhi Huang, Junyu Dong +5
Underwater object detection (UOD), aiming to identify and localise the objects in underwater images or videos, presents significant challenges due to the optical distortion, water…
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation
Qingxuan Lv, Yuezun Li, Junyu Dong +4
Recent DeepFake detection methods have shown excellent performance on public datasets but are significantly degraded on new forgeries. Solving this problem is important, as new for…
A Semi-supervised Physics-Aware Triple-Stream Underwater Image Enhancement Network
Shixuan Xu, Hao Qi, Wei Wang +4
Underwater images normally suffer from degradation due to the transmission medium of water bodies. Both traditional prior-based approaches and deep learning-based methods have been…