3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws
Lin Guo, Xiaoqing Luo, Wei Xie +5
Existing infrared and visible image fusion methods often face the dilemma of balancing modal information. Generative fusion methods reconstruct fused images by learning from data d…
Capture Artifacts via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection
Weijie Zhou, Xiaoqing Luo, Zhancheng Zhang +2
The Deepfake technology has raised serious concerns regarding privacy breaches and trust issues. To tackle these challenges, Deepfake detection technology has emerged. Current meth…
Infrared and visible image fusion based on Multi-State Contextual Hidden Markov Model
Xiaoqing Luo, Yuting Jiang, Anqi Wang +2
The traditional two-state hidden Markov model divides the high frequency coefficients only into two states (large and small states). Such scheme is prone to produce an inaccurate s…
A Joint Convolution Auto-encoder Network for Infrared and Visible Image Fusion
Zhancheng Zhang, Yuanhao Gao, Mengyu Xiong +2
Background: Leaning redundant and complementary relationships is a critical step in the human visual system. Inspired by the infrared cognition ability of crotalinae animals, we de…