Abstract: A method includes: performing unsupervised pre-training of a model, the model including and a decoder including: obtaining a first image and a second image under different conditions or from different viewpoints; encoding, by the encoder, the first image into a representation of the first image and the second image into a representation of the second image; transforming the representation of the first image into a transformed representation; decoding, by the decoder, the transformed representation into a reconstructed image, where the transforming of the representation of the first image and the decoding of the transformed representation is based on the representation of the first image and the representation of the second image; and adjusting one or more parameters of at least one of the encoder and the decoder based on minimizing a loss; and fine-tuning the model, initialized with a set of task specific encoder parameters, for a geometric vision task.

Abstract: A motion generation system includes: a model configured to generate latent indices for a sequence of images including an entity performing an action based on an action label and a duration of the sequence; and a decoder module configured to: decode the latent indices and to generate the sequence of images including the entity performing the action based on the latent indices; and output the sequence of images including the entity performing the action to a display control module configured to display the sequence of images including the entity performing the action sequentially on a display.

Abstract: An information retrieval training system includes: a training dataset including training data having a feature space; the training data including multiple different types of elements, wherein no labels are provided with the training data; a training module configured to: maintain fixed a pre-trained model configured to receive features of queries; learn sets of pseudo-labels based on the training data; train parameters of adaptor modules for each of the sets of pseudo-labels, respectively, the adaptor modules configured to receive outputs of the pre-trained model, respectively; and train parameters of fusion modules based on neighboring pairs of the training data, the fusion modules configured to fuse together outputs of the adaptor modules, respectively.

Abstract: A system includes: a depth module including an encoder and a decoder and configured to: receive a first image from a first time from a camera; and based on the first image, generate a depth map including depths between the camera and objects in the first image; a pose module configured to: generate a first pose of the camera based on the first image; generate a second pose of the camera for a second time based on a second image; and generate a third pose of the camera for a third time based on a third image; and a motion module configured to: determine a first motion of the camera between the second and first times based on the first and second poses; and determine a second motion of the camera between the second and third times based on the second and third poses.

Abstract: There is provided an apparatus for navigating a pedestrian tour including a processor circuit, a memory and a screen. The pedestrian tour includes a starting point, a first pedestrian tour zone and a second pedestrian tour zone, all of which are connected by a series of connecting paths. First and second suggested travel constraints, corresponding respectively with the first and second pedestrian tour zones, are stored in the memory. Responsive to determining that the pedestrian's actual travel within the first pedestrian tour zone will vary from the first suggested travel constraint, the processor circuit dynamically revises the second suggested travel constraint to permit the pedestrian user to execute the pedestrian tour in accordance with a preset target travel constraint for the pedestrian tour.

Abstract: Provided are a computer system for transmitting audio content to realize a user-customized being-there and a method thereof. The computer system may be configured to detect audio files that are generated for a plurality of objects at a venue, respectively, and metadata including spatial features that are set for the objects at the venue, respectively, and to transmit the audio files and the metadata for a user. An electronic device of the user may realize a being-there at the venue by rendering the audio files based on the spatial features in the metadata. That is, the user may feel a user-customized being-there as if the user directly listens to audio signals generated from corresponding objects at a venue in which the objects are provided.

Abstract: A question answering system includes: a neural network tokenizer module configured to determine a token representation of a question to be answered and token representations of candidate paragraphs of a present reasoning path for the question, respectively; a neural network module configured to: transform the token representation of the question and the token representations of the candidate paragraphs of the present reasoning path into vector representations; and append a first variable to the vector representations to produce a second variable; a search module configured to: select the candidate paragraphs from a knowledge database to extend a present reasoning path based on lexical relevance of the candidate paragraphs to the question; and selectively add ones of the candidate paragraphs to the present reasoning path; and an answer inference network module configured to selectively determine an answer to the question based on multiple different portions of the present reasoning path.

Abstract: A computer-implemented method of determining a position of a portable electronic device in an indoor environment includes: at a first rate, updating an absolute position of a portable electronic device within the indoor environment based on at least one of radio signal data and magnetic field data captured using the portable electronic device; at a second rate that is different than the first rate, selectively updating an estimated displacement of the portable electronic device within the indoor environment, the updating the estimated displacement comprising generating an estimated displacement, by a neural network module, based on inertial sensor data of the portable electronic device; and determining a present position of the portable electronic device within the indoor environment by updating a previous position based on at least one of (a) the estimated displacement and (b) the absolute position.

Abstract: A method by a computer system including generating audio files based on respective audio signals, the audio signals having been respectively generated from a plurality of objects at a venue, generating metadata including spatial features at the venue that are respectively set for the objects, and transmitting the audio files and the metadata for the objects to a first electronic device to cause the first electronic device to realize a being-there at the venue by rendering the audio files based on the spatial features in the metadata may be provided.

Abstract: Provided are a computer system for producing audio content for realizing a user-customized being-there and a method thereof. The computer system may be configured to generate audio files based on respective audio signals that are respectively generated from a plurality of objects at a venue, set spatial features at the venue for the objects, respectively, using a production tool, and generate metadata for the audio files based on the spatial features. An electronic device may realize a being-there at the venue by rendering the audio files based on the spatial features in the metadata. That is, a user of the electronic device may feel a user-customized being-there as if the user directly listens to audio signals generated from corresponding objects at a venue in which the objects are provided.

Abstract: A system includes: a hand module to, based on a demonstration of a human hand grasping an object, determine first and second vectors that are normal to and parallel to a palm of the human hand, respectively, and a position of the human hand; a gripper module to determine third and fourth vectors that are normal to and parallel to a palm of a gripper of a robot, respectively, and a present position of the gripper; and an actuation module to: move the gripper when open such that the present position of the gripper is at the position of the human hand, the third and first vectors are aligned, and the fourth and second vectors are aligned; close fingers of the gripper based on minimizing a first loss; and actuate the fingers of the gripper to minimize a second loss determined based on the first loss and a third loss.

Abstract: An operation method of a user terminal for providing a video slide service includes uploading a UGC video to a server; receiving, from the server, scene meta-information for each playback section of the UGC video; generating a video slide file on the basis of the received scene meta-information for each playback section; classifying, according to categories, a plurality of pieces of page information configuring the video slide file; and generating a storybook corresponding to the UGC video on the basis of a plurality of page groups classified according to the categories.

Abstract: A system includes: a feature module configured to generate a feature map based on a single image taken from a point of view (POV) including a human based on features of the human visible in the image and non-visible features of the human; a pixel features module configured to generate pixel features based on the feature map and a target POV; a feature mesh module configured to generate a feature mesh for the human based on the feature map; a geometry module configured to: generate voxel features based on the feature mesh; and generate a density value based on the voxel and pixel features; a texture module configured to generate RGB colors for pixels based on the density value and the pixel features; and a rendering module configured to generate a three dimensional rendering of the human from the target POV based on the RGB colors and the density value.

Abstract: A question answering system includes: a first encoder module configured to receive a question, the question including a first plurality of words, and encode the question into a first vector representation; a second encoder module configured to encode a document into a second vector representation, the document including a second plurality of words; a first reading module configured to generate a third vector representation based on the first and second vector representations; a first reformulation module configured to generate a first reformulated vector representation based on the first vector representation; a second reading module configured to generate a fifth vector representation based on the second vector representation and the first reformulated vector representation; a second reformulation module configured to generate a second reformulated vector representation based on first reformulated vector representation; and an answer module configured to determine an answer to the question based on the secon

Abstract: A video playback method executed in a computer system includes measuring a bitrate in transport stream (TS) file units, and selecting the image quality of the next TS file in consideration of the bitrate and the amount of buffer that has already been loaded.

Abstract: A sampling system includes: an energy-based model (EBM) configured to generate non-negative scores of an input having discrete classifications, respectively; and a sampling module configured to: generate a sample from a probability distribution of the EBM using a proposal distribution; set a probability of acceptance of the sample based on a minimum of (a) 1 and (b) an acceptance value determined based on the sample, a score of the sample from the EBM, the proposal distribution, and an upper boundary value; determine a distribution value between 0 and 1 using a uniform distribution; and discard the sample when the distribution value is greater than the probability of acceptance of the sample.

Abstract: Disclosed is a method and system for providing an object for content arrangement. A content arrangement method includes providing a cue card list that is a card-type dedicated object for content arrangement; and arranging a content set in a card unit using a cue card selected from the cue card list.

Abstract: Provided is a method, apparatus, system, and/or computer readable medium for providing a map service. The map providing method may include extracting region information attached to a posting in response to an execution of a storage capability or a sharing capability by a user to the posting displayed on a page accessible to a computer, storing address information of the posting and the extracted region information associated with the user, and displaying a point of interest corresponding to the region information on a map service screen associated with the user.

Abstract: A loudness normalization method includes receiving data for playback of content from a server in response to a user's request to play back the content; normalizing the loudness of the content by adjusting the volume output level of a player using volume level metadata of the content included in the received data; and providing the content by playing audio of the content based on the adjusted volume output level of the player.