Facebook

About: Facebook is a company organization based out in Tel Aviv, Israel. It is known for research contribution in the topics: Artificial neural network & Language model. The organization has 7856 authors who have published 10906 publications receiving 570123 citations. The organization is also known as: facebook.com & FB.

Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

Abstract: We explore the task of recognizing peoples' identities in photo albums in an unconstrained setting. To facilitate this, we introduce the new People In Photo Albums (PIPA) dataset, consisting of over 60000 instances of 2000 individuals collected from public Flickr photo albums. With only about half of the person images containing a frontal face, the recognition task is very challenging due to the large variations in pose, clothing, camera viewpoint, image resolution and illumination. We propose the Pose Invariant PErson Recognition (PIPER) method, which accumulates the cues of poselet-level person recognizers trained by deep convolutional networks to discount for the pose variations, combined with a face recognizer and a global recognizer. Experiments on three different settings confirm that in our unconstrained setup PIPER significantly improves on the performance of DeepFace, which is one of the best face recognizers as measured on the LFW dataset.

Prediction of user response to invitations in a social network system based on keywords in the user's profile

Abstract: A social networking system selects a subset of keywords from a set of master keywords found in user profiles. The method includes selecting a first and second group of user profiles including one or more keywords and computing the number of occurrences of each of the master keywords in the first and second group of profiles. A value may be computed for each of the master keywords based on a comparison of the number of occurrences in the first group of profiles and the number of occurrences in the second group of profiles. The computed value may be used for selecting the subset of keywords from the master keywords and/or ranking the master keywords.

System and method of collecting, correlating, and aggregating structured edited content and non-edited content

Abstract: A mobile multimedia content aggregation and dissemination platform is provided that aims to automate the creation, collection, correlation, aggregation, and dissemination of RSS, ATOM or other syndicated-style data formats along with non-syndicated content for blogs and for searching by interested parties. Then non-syndicated content may be substantially any type of multimedia content that has not yet been edited or that has been edited. The system and method may receive data content that originated from a syndicated information source along with other data content that originated from a non-syndicated information source. The system and method convert both types of content into, at least, blog information and blog data. The blog information comprising, information that points to a storage location of the blog data. The exemplary method further enables a user to search the blog data regardless of whether the blog data originated from a syndicated data source or non-syndicated data source.

Feeding updates to landing pages of users of an online social network from external sources

Abstract: Updates to landing pages of users in an online social network are fed from external sources so that content maintained by any one user can be consolidated in a single location regardless of where the changes are made to the content. When an update event occurs, users of the online social network are notified according to various criteria that they have set. With this feature, users can browse through content of other users efficiently.

Initializing Camera Subsystem for Face Detection Based on Sensor Inputs

Abstract: In one embodiment, while a mobile electronic device is in a first operation state, it receives sensor data from one or more sensors of the mobile electronic device. The mobile electronic device in a locked state analyzes the sensor data to estimate whether an unlock operation is imminent, and in response to a positive determination, initializes the camera subsystem so that the camera is ready to capture a face as soon as the user directs the camera lens to his or her face. In particular embodiments, the captured image is utilized by a facial recognition algorithm to determine whether the user is authorized to use the mobile device. In particular embodiments, the captured facial recognition image may be leveraged for use on a social network.