News

IEEE10h
JND-LIC: Learned Image Compression via Just Noticeable Difference for Human Visual Perception - IEEE Xplore
Existing human visual perception-oriented image compression methods well maintain the perceptual quality of compressed images, but they may introduce fake details into the compressed images, and ...
IEEE21h
Recent Advances in Deep-Learning-Based SAR Image Target Detection and Recognition - IEEE Xplore
Synthetic aperture radar (SAR) image target detection and recognition (SAR-TDR) tasks have become research hot spots in the remote sensing application. These targets include ships, vehicles, aircraft, ...
IEEE1d
Diffusion-Based Reinforcement Learning for Edge-Enabled AI-Generated Content Services - IEEE Xplore
As Metaverse emerges as the next-generation Internet paradigm, the ability to efficiently generate content is paramount. AI-Generated Content (AIGC) emerges as a key solution, yet the ...
IEEE1d
Spatial Residual for Underwater Object Detection - IEEE Xplore
Feature drift is caused by the dynamic coupling of target features and degradation factors, which reduce underwater detector performance. We redefine feature drift as the instability of target ...
IEEE2d
High-Density Surface EMG Decomposition: Achievements, Challenges, and Concerns - IEEE Xplore
High-density surface electromyography (EMG) decomposition provides a valuable non-invasive approach to accessing key motor unit information for a range of applications. This communication summarizes ...
IEEE2d
Radar-Aided Beam Selection in MIMO Communication Systems: A Federated Transfer Learning Approach - IEEE Xplore
By leveraging massive available data and hidden communication patterns, deep learning (DL) has enabled diverse applications in wireless network operations. In this paper, we consider radar-aided beam ...
IEEE3d
UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images - IEEE Xplore
Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning, and disaster assessment. Existing Transformer-based ...
IEEE7d
Switch-SLAM: Switching-Based LiDAR-Inertial-Visual SLAM for Degenerate Environments - IEEE Xplore
This letter presents Switch-SLAM, switching-based LiDAR-inertial-visual SLAM for degenerate environments, designed to tackle the challenges in degenerate environments for LiDAR and visual SLAM. Switch ...
IEEE3d
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network - IEEE Xplore
Soft sensors have been increasingly applied for quality prediction in complex industrial processes, which often have different scales of topology and highly coupled spatiotemporal features. However, ...
IEEE13d
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 ...
IEEE4d
Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation - IEEE Xplore
This letter proposes a novel channel estimator based on diffusion models (DMs), one of the currently top-rated generative models, with provable convergence to t ...
IEEE4d
Short-Term Load Forecasting: A Comprehensive Review and Simulation Study With CNN-LSTM Hybrids Approach - IEEE Xplore
Short-term load forecasting (STLF) is vital in effectively managing the reserve requirement in modern power grids. Subsequently, it supports the grid operator in making effective and economical ...