Recent Submissions

  • A Sensor Self-aware Distributed Consensus Filter for Simultaneous Localization and Tracking 

    Jiang, X; Ren, P; Luo, C (Springer, 5 August 2016)
    Background/Introduction: Simultaneous localization and tracking (SLAT) has become a very hot topic in both academia and industry for its potential wide applications in robotic equipment, sensor networks and smart devices. ...
  • Combining Dense Nonrigid Structure from Motion and 3D Morphable Models for Monocular 4D Face Reconstruction 

    Koujan, MR; Roussos, A (Association for Computing Machinery (ACM), 13 December 2018)
    Monocular 4D face reconstruction is a challenging problem, especially in the case that the input video is captured under unconstrained conditions, i.e. "in the wild". The majority of the state-of-the-art approaches build ...
  • 3D Reconstruction of 'In-the-Wild' Faces in Images and Videos 

    Booth, J; Roussos, A; Ververas, E; et al. (Institute of Electrical and Electronics Engineers (IEEE), 1 November 2018)
    3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape and texture, and are among the state-of-the-art methods for reconstructing facial shape from single images. With the advent of new 3D sensors, ...
  • Bounds on the Cost of Stabilizing a Cooperative Game 

    Bachrach, YB; Elkind, E; Malizia, E; et al. (AI Access Foundation, 1 January 2019)
    A key issue in cooperative game theory is coalitional stability, usually captured by the notion of the core—the set of outcomes that are resistant to group deviations. However, some coalitional games have empty cores, ...
  • Estimating correspondences of deformable objects "in-the-wild" 

    Zhou, Y; Antonakos, E; Alabort-I-medina, J; et al. (Institute of Electrical and Electronics Engineers (IEEE), 12 December 2016)
    During the past few years we have witnessed the development of many methodologies for building and fitting Statistical Deformable Models (SDMs). The construction of accurate SDMs requires careful annotation of images with ...

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