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IEEE1y
DEA-Net: Single Image Dehazing Based on Detail-Enhanced Convolution and Content-Guided Attention - IEEE Xplore
Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to improving the model ...
IEEE5mon
C3DGS: Compressing 3D Gaussian Model for Surface Reconstruction of Large-Scale Scenes Based on Multiview UAV Images | IEEE Journals & Magazine | IEEE Xplore
Methods based on 3D Gaussian Splatting (3DGS) for surface reconstruction face challenges when applied to large-scale scenes captured by UAV. Because the number of 3D Gaussians increases dramatically, ...
IEEE5mon
Global–Local Fusion With Semantic Information Guidance for Accurate Small Object Detection in UAV Aerial Images | IEEE Journals & Magazine | 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 ...
IEEE8mon
Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds | IEEE Journals & Magazine | 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 ...
IEEE10mon
Airborne Small Target Detection Method Based on Multimodal and Adaptive Feature Fusion | IEEE Journals & Magazine | IEEE Xplore
Abstract: The detection of airborne small targets amidst cluttered environments poses significant challenges. Factors such as the susceptibility of a single RGB image to interference from the ...
IEEE10mon
IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures | IEEE Journals & Magazine | IEEE Xplore
Camouflaged objects often blend in with their surroundings, making the perception of a camouflaged object a more complex procedure. However, most neural-network-based methods that simulate the visual ...
IEEE8mon
Federated Large Language Model: Solutions, Challenges and Future Directions | IEEE Journals & Magazine | 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 ...
IEEE10mon
A Tri-Band Dual-Concurrent Wi-Fi 802.11be Transceiver Achieving −46 dB TX/RX EVM Floor at 7.1 GHz for a 4 K-QAM 320 MHz Signal | IEEE Journals & Magazine | IEEE Xplore
A high-linearity, wideband transceiver for Wi-Fi 7 to support 4 K-QAM 320 MHz bandwidth (BW) is presented and fabricated using a 14 nm Fin-FET CMOS process. To provide a high-performance local ...
IEEE6mon
VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion | IEEE Journals & Magazine | 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, ...
IEEE6mon
FAPP: Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments | IEEE Journals & Magazine | IEEE Xplore
Obstacle avoidance for uncrewed aerial vehicles (UAVs) in cluttered environments is significantly challenging. Existing obstacle avoidance for UAVs either focuses on fully static environments or ...
IEEE1y
AI and Memory Wall | IEEE Journals & Magazine | IEEE Xplore
The availability of unprecedented unsupervised training data, along with neural scaling laws, has resulted in an unprecedented surge in model size and compute requirements for serving/training large ...
IEEE5mon
Channel Deduction: A New Learning Framework to Acquire Channel From Outdated Samples and Coarse Estimate | IEEE Journals & Magazine | IEEE Xplore
Channel Deduction: A New Learning Framework to Acquire Channel From Outdated Samples and Coarse Estimate ...