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534 Results

November 27, 2017

Bringing Portraits to Life


We present a technique to automatically animate a still portrait, making it possible for the subject in the photo to come to life and express various emotions. We use a driving video (of a different subject) and develop means to transfer the expressiveness of the subject in the driving video to the target portrait. In contrast to previous work that requires an input video of the target face to reenact a facial performance, our technique uses only a single target image.

By: Hadar Averbuch-Elor, Daniel Cohen-Or, Johannes Kopf, Michael Cohen
November 27, 2017

Fast Gaze-Contingent Optimal Decompositions for Multifocal Displays


Our goal is to enable interactive optimal decomposition algorithms capable of driving a vergence- and accommodation-tracked multifocal testbed. Ultimately, such a testbed is necessary to establish the requirements for the practical use of multifocal displays, in terms of computational demand and hardware accuracy. To this end, we present an efficient algorithm for optimal decompositions, incorporating insights from vision science.

By: Oliver Mercier, Yusufu Sulai, Kevin Mackenzie, Marina Zannoli, James Hillis, Derek Nowrouzezahrai, Douglas Lanman
Areas: AR/VR
November 14, 2017

Fine Pointing Concepts for Optical Intersatellite Links

International Conference on Space Optical Systems (ICSOS)

In this paper we present two fine pointing architectures that support high-accuracy pointing, while also featuring simplification of the small-space optical assembly hardware, reduction in the number and complexity of constituent components, full self-calibration capability, and relaxation of otherwise-strict, cost-driving subassembly requirements.

By: Eric Miller, Kevin Birnbaum, Chien-Chung Chen, Andrew Grier, Matt Hunwardsen, Dominic Jandrain
November 1, 2017

High-Resolution Measurement of Data Center Microbursts

ACM Internet Measurement Conference

In this study, we explore the fine-grained behaviors of a large production data center using extremely highresolution measurements (10s to 100s of microsecond) of rack-level traffic. Our results show that characterizing network events like congestion and synchronized behavior in data centers does indeed require the use of such measurements.

By: Qiao Zhang, Vincent Liu, James Hongyi Zeng, Arvind Krishnamurthy
November 1, 2017

An Empirical Characterization of IFTTT: Ecosystem, Usage, and Performance

ACM Internet Measurement Conference 2017

IFTTT is a popular trigger-action programming platform whose applets can automate more than 400 services of IoT devices and web applications. We conduct an empirical study of IFTTT using a combined approach of analyzing data collected for 6 months and performing controlled experiments using a custom testbed.

By: Xianghang Mi, Feng Qian, Ying Zhang, XiaoFeng Wang
October 30, 2017

Crowd Intelligence Enhances Automated Mobile Testing

Automated Software Engineering Conference (ASE)

In this paper we show that information extracted from crowdbased testing can enhance automated mobile testing and introduce POLARIZ, which generates replicable test scripts from crowd-based testing, extracting cross-app ‘motif’ events.

By: Ke Mao, Mark Harman, Yue Jia
October 28, 2017

SVE: Distributed Video Processing at Facebook Scale

Symposium on Operating Systems Principles (SOSP)

This paper describes the evolution from our initial monolithic encoding script (MES) system to our current Streaming Video Engine (SVE) to upload and process videos. SVE has been in production since the fall of 2015, provides lower latency than MES, supports many diverse video applications, and has proven to be reliable despite faults and overload.

By: Qi Huang, Petchean Ang, Peter Knowles, Tomasz Nykiel, Iaroslav Tverdokhlib, Amit Yajurvedi, Paul Dapolito IV, Xifan Yan, Maxim Bykov, Chuen Liang, Mohit Talwar, Abhishek Mathur, Sachin Kulkarni, Matthew Burke, Wyatt Lloyd
October 28, 2017

Canopy: An End-to-End Performance Tracing and Analysis System

Symposium on Operating Systems Principles (SOSP)

This paper presents Canopy, Facebook’s end-to-end performance tracing infrastructure. Using Canopy, Facebook engineers can query and analyze performance data in real-time.

By: Jonathan Kaldor, Jonathan Mace, Michał Bejda, Edison Gao, Wiktor Kuropatwa, Joe O’Neill, Kian Win Ong, Bill Schaller, Pingjia Shan, Brendan Viscomi, Vinod Venkataraman, Kaushik Veeraraghavan, Yee Jiun Song
October 25, 2017

DodecaPen: Accurate 6DoF Tracking of a Passive Stylus

ACM Symposium on User Interface Software and Technology (UIST)

We propose a system for real-time six degrees of freedom (6DoF) tracking of a passive stylus that achieves sub-millimeter accuracy, which is suitable for writing or drawing in mixed reality applications.

By: Po-Chen Wu, Robert Wang, Kenrick Kin, Christopher Twigg, Shangchen Han, Ming-Hsuan Yang, Shao-Yi Chien
Areas: AR/VR
October 24, 2017

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

AAAI Conference on Human Computation and Crowdsourcing (HCOMP)

In this work, we design a cooperative game – GuessWhich – to measure human-AI team performance in the specific context of the AI being a visual conversational agent.

By: Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh