535 Results
November 3, 2018
The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments
Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Like sighted people, visually impaired people want to share photographs on social networking services, but find it difficult to identify and select photos from their albums. We aimed to address this problem by incorporating state-of-the-art computer-generated descriptions into Facebook’s photo-sharing feature.
By: Yuhang Zhao, Shaomei Wu, Lindsay Reynolds, Shiri Azenkot
Human Computer Interaction & UX October 1, 2018
Low-Dose-Rate Cobalt-60 Testing Results for Kaman KD-5100 Differential Inductive Position Measuring Systems
Journal, IEEE Radiation Effects Data Workshop (REDW)
We report 60Co gamma radiation testing of a Kaman KD-5100 position measuring system to a total ionizing dose of 10 kRad(Si) at a rate of 5 mRad(Si)/s.
By: Bart McGuyer, Randall Milanowski, Slaven Moro
Connectivity October 1, 2018
The effects of natural scene statistics on text readability in additive displays
Human Factors and Ergonomics Society
The minimum contrast needed for optimal text readability with additive displays (e.g. AR devices) will depend on the spatial structure of the background and text. Natural scenes and text follow similar spectral patterns. Therefore, natural scenes can mask low contrast text – making it difficult to read. In a set of experiments, we determine the minimum viable contrast for readability on an additive display.
By: Daryn R. Blanc-Goldhammer, Kevin J. MacKenzie
AR/VR September 23, 2018
From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis
IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM)
This paper describes some of the challenges and opportunities when deploying static and dynamic analysis at scale, drawing on the authors’ experience with the Infer and Sapienz Technologies at Facebook, each of which started life as a research-led start-up that was subsequently deployed at scale, impacting billions of people worldwide.
By: Mark Harman, Peter O'Hearn
Systems & Networking September 8, 2018
DeepWrinkles: Accurate and Realistic Clothing Modeling
European Conference on Computer Vision (ECCV)
We present a novel method to generate accurate and realistic clothing deformation from real data capture. Previous methods for realistic cloth modeling mainly rely on intensive computation of physics-based simulation (with numerous heuristic parameters), while models reconstructed from visual observations typically suffer from lack of geometric details.
By: Zorah Lähner, Daniel Cremers, Tony Tung
Computer Vision 
Facebook AI Research August 22, 2018
FBOSS: Building Switch Software at Scale
ACM SIGCOMM
We present FBOSS, our own data center switch software, that is designed with the basis on our switch-as-a-server and deploy-early-and-iterate principles.
By: Sean Choi, Boris Burkov, Alex Eckert, Tian Fang, Saman Kazemkhani, Rob Sherwood, Ying Zhang, James Hongyi Zeng
Systems & Networking August 20, 2018
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering
Knowledge Discovery in Databases (KDD)
In this paper, we propose a method for constructing topic taxonomies, wherein every node represents a conceptual topic and is defined as a cluster of semantically coherent concept terms.
By: Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian Sadler, Michelle Vanni, Jiawei Han
Natural Language Processing & Speech August 19, 2018
A real-time framework for detecting efficiency regressions in a globally distributed codebase
Knowledge Discovery in Databases (KDD)
This paper describes the end-to-end regression detection system designed and used at Facebook. The main detection algorithm is based on sequential statistics supplemented by signal processing transformations, and the performance of the algorithm was assessed with a mixture of online and offline tests across different use cases.
By: Martin Valdez-Vivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry ChenAugust 16, 2018
Constrained Bayesian Optimization with Noisy Experiments
Bayesian Analysis 2018
We derive an expression for expected improvement under greedy batch optimization with noisy observations and noisy constraints, and develop a quasi-Monte Carlo approximation that allows it to be efficiently optimized.
By: Benjamin Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy
Data Science
Machine Learning August 14, 2018
Deep Appearance Models for Face Rendering
ACM SIGGRAPH
We introduce a deep appearance model for rendering the human face. Inspired by Active Appearance Models, we develop a data-driven rendering pipeline that learns a joint representation of facial geometry and appearance from a multiview capture setup.
By: Stephen Lombardi, Jason Saragih, Tomas Simon, Yaser Sheikh