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NAVER

Company profile

Employees
Incorporated
Fiscal year end
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11 Apr 21
31 Dec 21

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Patents

APP
Utility
System and Method for Communicating Possible Travel Paths Through Head Scanning and Sound Modulation
8 Apr 21
A method and system that provides navigational related audio or haptic feedback to a user traversing a route by mapping an initial route for a user to traverse, the initial route having paths and intersections; determining a current location of the user; inputting a route characteristic change of the initial route; determining possible paths associated with an intersection for the user to traverse when the current location of the user is within the predetermined distance of the intersection; ranking the determined possible paths based upon the initial route and the inputted route characteristic change; determining the head direction of the user when the current location of the user is within the predetermined distance of an intersection; determining which of the possible paths corresponds to the calculated head direction of the user; and providing an audio/haptic cue to the user based upon the ranking of the determined possible path corresponding to the determined head direction of the user.
APP
Utility
Method and System for Adaptive Data Transmission
8 Apr 21
A video transmission control method for adaptive data transmission includes predicting a network state through machine learning using information related to video transmission as a feature in a real-time video streaming environment; and determining an option for controlling video transmission on the basis of the predicted network state.
APP
Utility
Semi-Supervised Variational Autoencoder for Indoor Localization
1 Apr 21
A method of training a predictor to predict a location of a computing device in an indoor environment incudes: receiving training data including strength of signals received from wireless access points at positions of an indoor environment, where the training data includes: a subset of labeled data including signal strength values and location labels; and a subset of unlabeled data including signal strength values and not including labels indicative of locations; training a variational autoencoder to minimize a reconstruction loss of the signal strength values of the training data, where the variational autoencoder includes encoder neural networks and decoder neural networks; and training a classification neural network to minimize a prediction loss on the labeled data, where the classification neural network generates a predicted location based on the latent variable, and where the encoder neural networks and the classification neural network form the predictor.
APP
Utility
Neural Network for Generating Images Trained with a Generative Adversarial Network
25 Mar 21
A generative adversarial network, a method of training a generator neural network, and a method of generating images using the generator network is provided.
APP
Utility
Optimization Technique for Forming DNN Capable of Performing Real-time Inference In Mobile Environment
25 Mar 21
A system includes at least one processor having a learning part for learning a deep neural network (DNN)-based style transfer model by using an image of a specific style to be learned, the style transfer model being a DNN model having an architecture in which the number of deep layers is reduced through transfer learning using a previously learned result.