5 citations · 11 across the 10 of their papers we have counts for
11 papers
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…
Dynamic Frequency Feature Fusion Network for Multi-Source Remote Sensing Data Classification
Yikang Zhao, Feng Gao, Xuepeng Jin +2
Multi-source data classification is a critical yet challenging task for remote sensing image interpretation. Existing methods lack adaptability to diverse land cover types when mod…
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…
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
Shuai Hu, Feng Gao, Xiaowei Zhou +2
Hyperspectral image (HSI) denoising is critical for the effective analysis and interpretation of hyperspectral data. However, simultaneously modeling global and local features is r…
Dual-Channel Multiplex Graph Neural Networks for Recommendation
Xiang Li, Chaofan Fu, Zhongying Zhao +4
Effective recommender systems play a crucial role in accurately capturing user and item attributes that mirror individual preferences. Some existing recommendation techniques have…
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…
SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification
Junyan Lin, Feng Gao, Xiaocheng Shi +2
Masked image modeling (MIM) is a highly popular and effective self-supervised learning method for image understanding. Existing MIM-based methods mostly focus on spatial feature mo…
CLIP-Hand3D: Exploiting 3D Hand Pose Estimation via Context-Aware Prompting
Shaoxiang Guo, Qing Cai, Lin Qi +1
Contrastive Language-Image Pre-training (CLIP) starts to emerge in many computer vision tasks and has achieved promising performance. However, it remains underexplored whether CLIP…
Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection
Haopeng Zhang, Zijing Lin, Feng Gao +3
Synthetic aperture radar (SAR) image change detection is a critical task and has received increasing attentions in the remote sensing community. However, existing SAR change detect…
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…