IEEE

NEUF: Learning Point Cloud Quality by Non-Euclidean Fast Filtering

Abstract: This paper addresses the problem of no reference visual quality assessment in point clouds, useful for extended reality communication service such as remote surgery and education. Accurate, ...
IEEE

Joint Activity and Data Detection for Massive Grant-Free Access Using Deterministic Non-Orthogonal Signatures

Abstract: Grant-free access is a key enabler for connecting wireless devices with low latency and low signaling overhead in massive machine-type communications (mMTC). For massive grant-free access, ...
IEEE

Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs

Abstract: Currently, GPUs face significant challenges due to limited off-chip bandwidth (BW) and memory capacity during DNN training. To address these bottlenecks, we propose a memory access-triggered ...
IEEE

HARQ-IR Aided Non-Orthogonal Multiple Access for URLLC: Tradeoff Between Transmission Reliability and Data Freshness

Abstract: Many emerging artificial intelligence-driven applications rely on the availability of large-scale, stable, and fresh sensing data, underscoring the Ultra-Reliable Low-Latency Communications ...
IEEE

A Survey on Non-Orthogonal Multiple Access for Unmanned Aerial Vehicle Networks: Machine Learning Approach

Abstract: The rapid evolution of wireless communication has affected unmanned aerial vehicles (UAV), which are expected to be used in diverse applications in smart cities, military operations, and ...
IEEE

Learning Robust Point Representation for 3D Non-Rigid Shape Retrieval

Abstract: Content-based 3D object retrieval is a challenging problem in computer vision and graphics, especially for non-rigid 3D shapes. This article proposes a multiview-based robust point ...