News

IEEE2d
Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion - IEEE Xplore
Abstract: Image fusion integrates a series of images acquired from different sensors, e.g., infrared and visible, outputting an image with richer information than either one. Traditional and recent ...
IEEE3d
Large Language Model Enhanced Multi-Agent Systems for 6G Communications - IEEE Xplore
The rapid development of the large language model (LLM) presents huge opportunities for 6G communications – for example, network optimization and management – by allowing users to input task ...
IEEE8d
BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR-Camera via Spatiotemporal Transformers - IEEE Xplore
Multi-modality fusion strategy is currently the de-facto most competitive solution for 3D perception tasks. In this work, we present a new framework termed BEVFormer, which learns unified BEV ...
IEEE10d
Screen-Shooting Robust Watermark Based on Style Transfer and Structural Re-Parameterization - IEEE Xplore
In real-world applications, screen capturing represents a significant scenario where this process can induce substantial distortion to the original image. Previous methods for simulating ...
IEEE2mon
HSI-MFormer: Integrating Mamba and Transformer Experts for Hyperspectral Image Classification - IEEE Xplore
Hyperspectral image (HSI) classification is fundamental to numerous remote sensing applications, enabling detailed analysis of material properties and environmental conditions. Recent Mamba built upon ...
IEEE2mon
MB-TaylorFormer V2: Improved Multi-Branch Linear Transformer Expanded by Taylor Formula for Image Restoration - IEEE Xplore
Recently, Transformer networks have demonstrated outstanding performance in the field of image restoration due to the global receptive field and adaptability to input. However, the quadratic ...
IEEE3mon
Cross-Modality Distillation for Multi-Modal Tracking - IEEE Xplore
Contemporary multi-modal trackers achieve strong performance by leveraging complex backbones and fusion strategies, but this comes at the cost of computational efficiency, limiting their deployment in ...
IEEE5mon
Hyperspectral Image Classification via Cascaded Spatial Cross-Attention Network - IEEE Xplore
In hyperspectral images (HSIs), different land cover (LC) classes have distinct reflective characteristics at various wavelengths. Therefore, relying on only a few bands to distinguish all LC classes ...
IEEE5mon
Global–Local Fusion With Semantic Information Guidance for Accurate Small Object Detection in UAV Aerial Images - IEEE Xplore
In recent years, the rapid development of the unmanned aerial vehicle (UAV) technology has generated a large number of aerial photography images captured by UAV. Consequently, the object detection in ...
IEEE6mon
VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion - IEEE Xplore
Image fusion facilitates the integration of information from various source images of the same scene into a composite image, thereby benefiting perception, analysis, and understanding. Recently, ...
IEEE8mon
Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds - IEEE Xplore
Restoration tasks in low-level vision aim to restore high-quality (HQ) data from their low-quality (LQ) observations. To circumvents the difficulty of acquiring paired data in real scenarios, unpaired ...
IEEE8mon
Federated Large Language Model: Solutions, Challenges and Future Directions - IEEE Xplore
Large language models (LLMs) have become increasingly popular due to their exceptional performance in various artificial intelligence applications. However, their development often suffers from the ...