21 citations · 57 across the 6 of their papers we have counts for
6 papers
Hyperspectral Smoke Segmentation via Mixture of Prototypes
Lujian Yao, Haitao Zhao, Xianghai Kong +1
Smoke segmentation is critical for wildfire management and industrial safety applications. Traditional visible-light-based methods face limitations due to insufficient spectral inf…
ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing
Zhongze Wang, Haitao Zhao, Jingchao Peng +2
Unpaired image dehazing (UID) holds significant research importance due to the challenges in acquiring haze/clear image pairs with identical backgrounds. This paper proposes a nove…
DFR-Net: Density Feature Refinement Network for Image Dehazing Utilizing Haze Density Difference
Zhongze Wang, Haitao Zhao, Lujian Yao +2
In image dehazing task, haze density is a key feature and affects the performance of dehazing methods. However, some of the existing methods lack a comparative image to measure den…
FoSp: Focus and Separation Network for Early Smoke Segmentation
Lujian Yao, Haitao Zhao, Jingchao Peng +2
Early smoke segmentation (ESS) enables the accurate identification of smoke sources, facilitating the prompt extinguishing of fires and preventing large-scale gas leaks. But ESS po…
Dynamic Background Reconstruction via MAE for Infrared Small Target Detection
Jingchao Peng, Haitao Zhao, Kaijie Zhao +2
Infrared small target detection (ISTD) under complex backgrounds is a difficult problem, for the differences between targets and backgrounds are not easy to distinguish. Background…
CourtNet for Infrared Small-Target Detection
Jingchao Peng, Haitao Zhao, Kaijie Zhao +2
Infrared small-target detection (ISTD) is an important computer vision task. ISTD aims at separating small targets from complex background clutter. The infrared radiation decays ov…