output
20062026
most citedSGDFuse: SAM-Guided Diffusion Model for High-Fidelity Infrared and Visible Image Fusion

15 citations

14 papers

cs.LG2026

PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting

Hua Wang, Xianhao Jiao, Fan Zhang

Deep forecasting models often suffer from attenuated periodic perception and entangled trend-noise representations as network depth increases. Moreover, the widely adopted channel-…

cs.CV2026

Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition

Wen Guo, Pengfei Zhao, Zongmeng Wang +2

Multiple Object Tracking (MOT) has long been a fundamental task in computer vision, with broad applications in various real-world scenarios. However, due to distribution shifts in…

eess.IV2025★ 2 cited

MGCR-Net:Multimodal Graph-Conditioned Vision-Language Reconstruction Network for Remote Sensing Change Detection

Chengming Wang, Guodong Fan, Jinjiang Li +2

With the advancement of remote sensing satellite technology and the rapid progress of deep learning, remote sensing change detection (RSCD) has become a key technique for regional…

eess.IV2025★ 3 cited

CGCCE-Net:Change-Guided Cross Correlation Enhancement Network for Remote Sensing Building Change Detection

ChengMing Wang

Change detection encompasses a variety of task types, and the goal of building change detection (BCD) tasks is to accurately locate buildings and distinguish changed building areas…

cs.CV2025★ 15 cited

SGDFuse: SAM-Guided Diffusion Model for High-Fidelity Infrared and Visible Image Fusion

Xiaoyang Zhang, jinjiang Li, Guodong Fan +4

Infrared and visible image fusion (IVIF) is essential for integrating thermal saliency with textural details to support downstream perception. However, most existing approaches suf…

cs.IT2024

Effective Application of Normalized Min-Sum Decoding for Short BCH Codes

Guangwen Li, Xiao Yu

This paper introduces an enhanced normalized min-sum decoder designed to address the performance and complexity challenges associated with developing parallelizable decoders for sh…