Abstract: Motor imagery (MI) decoding is the basis of external device control via electroencephalogram (EEG). However, the majority of studies prioritize enhancing the accuracy of decoding methods, ...

Abstract: With the rapid advancement of remote sensing technology, change detection using bitemporal remote sensing images has significant applications in land use planning and environmental ...

Abstract: Infrared small target (IRST) detection aims at separating targets from cluttered background. Although many deep learning-based single-frame IRST (SIRST) detection methods have achieved ...

Abstract: UAV-assisted MEC revolutionizes edge computing by deploying UAVs for real-time data processing in areas lacking infrastructure, supporting a wide range of applications from emergency ...

Abstract: In this work, we propose a learning-based one-stage planner for trajectory generation of quadrotor in obstacle-cluttered environment without relying on explicit map. We integrate perception ...

Abstract: Integrated sensing and communication (ISAC) is studied in the airborne domain, where Unmanned Aerial Vehicles (UAVs) act as communication base stations and radars simultaneously. The UAV ...

Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...

Abstract: Leveraging the extensive training data from SA-1B, the segment anything model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnostic ...

Abstract: Masked image modeling (MIM) is a highly popular and effective self-supervised learning method for image understanding. The existing MIM-based methods mostly focus on spatial feature modeling ...

Abstract: Because of the geographical distribution of renewable energy resources, the regional mismatch of renewable energy production and electricity consumption is now a logistical and a planning ...

Abstract: As information acquisition diversifies, data is acquired and stored in increasing modalities. However, sensor failures or equipment issues can lead to partial data loss in certain views, ...

Abstract: Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonomous ...