Search Results for author:
Found 17 papers, 4 papers with code
NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation
3D shape generation aims to produce innovative 3D content adhering to specific conditions and constraints.
Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane
We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in a single pass.
RIS-Enabled Joint Near-Field 3D Localization and Synchronization in SISO Multipath Environments
Reconfigurable Intelligent Surfaces (RIS) show great promise in the realm of 6th generation (6G) wireless systems, particularly in the areas of localization and communication.
BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation
A variational auto-encoder is employed to compress the tri-planes into the latent tri-plane space, on which the denoising diffusion process is performed.
Rethinking Cross-Attention for Infrared and Visible Image Fusion
The DIIM is designed by modifying the vanilla cross-attention mechanism, which can promote the extraction of the discrepancy information of the source images.
PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
VDB takes both the advantages of sparse and dense volumes for compact data representation and efficient data access, being a promising data structure for NeRF data interpolation and ray marching.
Multi-Mode Spatial Signal Processor with Rainbow-like Fast Beam Training and Wideband Communications using True-Time-Delay Arrays
Initial access in millimeter-wave (mmW) wireless is critical toward successful realization of the fifth-generation (5G) wireless networks and beyond.
Wideband Beamforming with Rainbow Beam Training using Reconfigurable True-Time-Delay Arrays for Millimeter-Wave Wireless
The decadal research in integrated true-time-delay arrays have seen organic growth enabling realization of wideband beamformers for large arrays with wide aperture widths.
Metastable dynamics of neural circuits and networks
In this article, we review the experimental evidence for neural metastable dynamics together with theoretical approaches to the study of metastable activity in neural circuits.
Rainbow-link: Beam-Alignment-Free and Grant-Free mmW Multiple Access using True-Time-Delay Array
However, due to a limited number of simultaneous beams that can be created with analog/hybrid phased antenna arrays, the overheads of beam training and beam scheduling become a bottleneck for emerging networks that need to support a large number of users and low latency applications.
A 4-Element 800MHz-BW 29mW True-Time-Delay Spatial Signal Processor Enabling Fast Beam-Training with Data Communications
In this work, we demonstrate a true-time-delay (TTD) array with digitally reconfigurable delay elements enabling both fast beam-training at the receiver with wideband data communications.
mmRAPID: Machine Learning assisted Noncoherent Compressive Millimeter-Wave Beam Alignment
A key design challenge is to enable rapid beam alignment with phased arrays.
True-Time-Delay Arrays for Fast Beam Training in Wideband Millimeter-Wave Systems
We also propose a suitable algorithm that requires a single pilot to achieve high-accuracy estimation of angle of arrival.
Design of Millimeter-Wave Single-Shot Beam Training for True-Time-Delay Array
Lastly, the study on impairments and required specifications of resolution and range of analog delay taps are used to provide a design insight of energy efficient TTD array, which employs a novel architecture with discrete-time sampling based TTD elements.
Identification of hidden order and emergent constraints in frustrated magnets using tensorial kernel methods
Machine-learning techniques have proved successful in identifying ordered phases of matter.
Strongly Correlated Electrons Statistical Mechanics
Performance, Power, and Area Design Trade-offs in Millimeter-Wave Transmitter Beamforming Architectures
In this paper, we provide an overview of the state-of-the-art mmWave massive antenna array designs and comparison among three array architectures, namely digital array, partially-connected hybrid array (sub-array), and fully-connected hybrid array.
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy (T1N) currently requires visual inspection of polysomnography records by trained scoring technicians.
