activity
20242026
most citedAdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation

16 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024★ 16 cited

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…

cs.CV2024★ 2 cited

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…