Facebook

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

Deep End2End Voxel2Voxel Prediction

Abstract: Over the last few years deep learning methods have emerged as one of the most prominent approaches for video analysis. However, so far their most successful applications have been in the area of video classification and detection, i.e., problems involving the prediction of a single class label or a handful of output variables per video. Furthermore, while deep networks are commonly recognized as the best models to use in these domains, there is a widespread perception that in order to yield successful results they often require time-consuming architecture search, manual tweaking of parameters and computationally intensive preprocessing or post-processing methods. In this paper we challenge these views by presenting a deep 3D convolutional architecture trained end to end to perform voxel-level prediction, i.e., to output a variable at every voxel of the video. Most importantly, we show that the same exact architecture can be used to achieve competitive results on three widely different voxel-prediction tasks: video semantic segmentation, optical flow estimation, and video coloring. The three networks learned on these problems are trained from raw video without any form of preprocessing and their outputs do not require post-processing to achieve outstanding performance. Thus, they offer an efficient alternative to traditional and much more computationally expensive methods in these video domains.

Enhanced buddy list using mobile device identifiers

Abstract: A graphical user interface on a display device of a computer enables communications using a computer service. The graphical user interface includes a list of potential message recipients selected by a user as significant to the user. The graphical user interface also includes a mobile device identifier associated with one or more of the listed potential message recipients and a user account identifier associated with one or more of the listed potential message recipients. At least one of the listed potential recipients includes a mobile device identifier as the only available conduit for data delivery to the potential message recipient using the computer service.

SapFix: automated end-to-end repair at scale

Abstract: We report our experience with SAPFIX: the first deployment of automated end-to-end fault fixing, from test case design through to deployed repairs in production code1. We have used SAPFIX at Facebook to repair 6 production systems, each consisting of tens of millions of lines of code, and which are collectively used by hundreds of millions of people worldwide.

How Blind People Interact with Visual Content on Social Networking Services

Abstract: In this paper, we explore blind people's motivations, challenges, interactions, and experiences with visual content on Social Networking Services (SNSs). We present findings from an interview study of 11 individuals and a survey study of 60 individuals, all with little to no functional vision. Compared to sighted SNS users, our blind participants faced profound accessibility challenges, including the prevalence of photos without sufficient text descriptions. To overcome the challenges, they developed creative strategies, including using a variety of methods to access SNS features (e.g., opening the mobile site on a desktop browser), and inferring photo content from textual cues and social interactions. When strategies failed, participants reached out for help from trusted friends, or avoided certain features. We discuss our findings in the context of CSCW research and SNS accessibility as a design value. We highlight the social significance of photo interactions for blind people and suggest design practices.

Method and apparatus for calendaring reminders

Abstract: An electronic calendar includes such features as recurring reminders, dividing unpredictable work loads into equal pieces, template free parsing, a reminders scheduling algorithm to reduce spikes, dynamic delivery and recovery algorithms, methods for splitting the work load between controllers and workers and for monitoring progress, all within the context of a calendar architecture for a large enterprise.