39 citations · 96 across the 8 of their papers we have counts for
9 papers
Dual Sparse Aggregation Transformer for Multispectral Object Detection
Wencong Wu, Xiuwei Zhang, Hanlin Yin +2
Transformer-based approaches have obtained excellent performance in multispectral object detection tasks due to their ability to model long-range dependencies and capture complemen…
SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR-Optical Registration
Haodong Wang, Tao Zhuo, Xiuwei Zhang +3
Achieving pixel-level registration between SAR and optical images remains a challenging task due to their fundamentally different imaging mechanisms and visual characteristics. Alt…
FreDFT: Frequency Domain Fusion Transformer for Visible-Infrared Object Detection
Wencong Wu, Xiuwei Zhang, Hanlin Yin +3
Visible-infrared object detection has gained sufficient attention due to its detection performance in low light, fog, and rain conditions. However, visible and infrared modalities…
AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation
Ran Lingyan, Wen Dongcheng, Zhuo Tao +3
Change Detection (CD) is an essential field in remote sensing, with a primary focus on identifying areas of change in bi-temporal image pairs captured at varying intervals of the s…
RGB-T Object Detection via Group Shuffled Multi-receptive Attention and Multi-modal Supervision
Jinzhong Wang, Xuetao Tian, Shun Dai +6
Multispectral object detection, utilizing both visible (RGB) and thermal infrared (T) modals, has garnered significant attention for its robust performance across diverse weather a…
Learning multi-domain feature relation for visible and Long-wave Infrared image patch matching
Xiuwei Zhang, Yanping Li, Zhaoshuai Qi +2
Recently, learning-based algorithms have achieved promising performance on cross-spectral image patch matching, which, however, is still far from satisfactory for practical applica…
MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization
Yinghui Xing, Shuo Yang, Song Wang +4
Multispectral pedestrian detection is an important task for many around-the-clock applications, since the visible and thermal modalities can provide complementary information espec…
Pansharpening via Frequency-Aware Fusion Network with Explicit Similarity Constraints
Yinghui Xing, Yan Zhang, Houjun He +2
The process of fusing a high spatial resolution (HR) panchromatic (PAN) image and a low spatial resolution (LR) multispectral (MS) image to obtain an HRMS image is known as panshar…
Attend to the Difference: Cross-Modality Person Re-identification via Contrastive Correlation
Shizhou Zhang, Yifei Yang, Peng Wang +3
The problem of cross-modality person re-identification has been receiving increasing attention recently, due to its practical significance. Motivated by the fact that human usually…