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ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
Jiucui Lu, Jiaran Zhou, Junyu Dong +3
The prominent progress in generative models has significantly improved the reality of generated faces, bringing serious concerns to society. Since recent GAN-generated faces are in…
SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images
Lin Qi, Xuewen Qin, Feng Gao +2
Hyperspectral unmixing is a critical yet challenging task in hyperspectral image interpretation. Recently, great efforts have been made to solve the hyperspectral unmixing task via…
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction
Yuxin Meng, Feng Gao, Eric Rigall +3
Traditionally, numerical models have been deployed in oceanography studies to simulate ocean dynamics by representing physical equations. However, many factors pertaining to ocean…
Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising
Haodong Pan, Feng Gao, Junyu Dong +1
Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global o…
Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
Yu Zheng, Jiahui Zhan, Shengfeng He +2
Considering the ill-posed nature, contrastive regularization has been developed for single image dehazing, introducing the information from negative images as a lower bound. Howeve…
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification
Meng Wang, Feng Gao, Junyu Dong +2
The joint hyperspectral image (HSI) and LiDAR data classification aims to interpret ground objects at more detailed and precise level. Although deep learning methods have shown rem…