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Found 10 papers, 2 papers with code
Detection of Pedestrian Turning Motions to Enhance Indoor Map Matching Performance
In summary, our research contributes to the development of a more accurate and reliable pedestrian navigation system by leveraging smartphone IMU data and advanced algorithms for turn detection in indoor environments.
Construction of the Radio Map with Defective GPS Position Information
The basic idea of RSS-based indoor positioning is to estimate the receiver location by matching the measured received signal strength indicator (RSSI) with preestablished RSSI collections with corresponding locations, known as the radio map.
Evaluation of RF Fingerprinting-Aided RSS-Based Target Localization for Emergency Response
Further, a maximum likelihood problem for target localization combining RF fingerprinting is formulated.
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)
Image-based virtual try-on provides the capacity to transfer a clothing item onto a photo of a given person, which is usually accomplished by warping the item to a given human pose and adjusting the warped item to the person.
GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning
In recent years, molecular representation learning has emerged as a key area of focus in various chemical tasks.
Multiple GAN Inversion for Exemplar-based Image-to-Image Translation
Existing state-of-the-art techniques in exemplar-based image-to-image translation hold several critical concerns.
Online Exemplar Fine-Tuning for Image-to-Image Translation
Existing techniques to solve exemplar-based image-to-image translation within deep convolutional neural networks (CNNs) generally require a training phase to optimize the network parameters on domain-specific and task-specific benchmarks, thus having limited applicability and generalization ability.
RSS-based LTE Base Station Localization Using Single Receiver in Environment with Unknown Path-Loss Exponent
In this paper, we suggest a method of RSS-based LTE base station (BS) localization with a single mobile receiver when the PLE is unknown.
Practical Simplified Indoor Multiwall Path-Loss Model
This paper proposed a multiwall path-loss propagation model for an indoor environment, operating at a transmission frequency of 2. 45 GHz in the industrial, scientific, and medical (ISM) radio band.
Unsupervised Image-to-Image Translation with Self-Attention Networks
Unsupervised image translation aims to learn the transformation from a source domain to another target domain given unpaired training data.
