1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion
Chunyang Cheng, Tianyang Xu, Zhenhua Feng +7
Advanced image fusion methods mostly prioritise high-level missions, where task interaction struggles with semantic gaps, requiring complex bridging mechanisms. In contrast, we pro…
Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation
Tianyang Xu, Jiyong Rao, Xiaoning Song +2
General mammal pose estimation is an important and challenging task in computer vision, which is essential for understanding mammal behaviour in real-world applications. However, e…
Drone Referring Localization: An Efficient Heterogeneous Spatial Feature Interaction Method For UAV Self-Localization
Ming Dai, Enhui Zheng, Jiahao Chen +3
Image retrieval (IR) has emerged as a promising approach for self-localization in unmanned aerial vehicles (UAVs). However, IR-based methods face several challenges: 1) Pre- and po…