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Introduction

Although we've seen a recent boost of sensors in digital devices, e.g., virtual reality headsets, autonomous driving, smart home, IoT devices, advanced algorithms for processing and handling visual data in the backend are largely missing. One key challenge is that algorithms that can understand images, human behaviors, and social activities from sensors deployed in daily lives go beyond the traditional scope of image and scene understanding, and they are expected to be capable of answering queries much broader and deeper than “what is where”. The mission of this workshop is to (a) identify the key domains in modern computer vision; (b) formalize the computational challenges in these domains; and (c) provide promising frameworks to solve these challenges.

Call for paper

Important date

2017-05-01
Draft paper submission deadline
2017-05-10
Draft paper acceptance notification

Submission Topics

Several key topics are:

  • Representation of visual structure and commonsense knowledge

  • Recognition of object function / affordances

  • Physically grounded scene interpretation

  • 3D scene acquisition, modeling and reconstruction

  • Human-object-scene interaction

  • Physically plausible pose / action modeling

  • Reasoning about goals and intents of the agents in the scenes

  • Causal model in vision

  • Abstract knowledge learning and transferring

  • Top-down and Bottom-up inference algorithms

  • Related topics in cognitive science and visual perception

  • Applications of FPIC to augmented and mixed reality

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Important Date
  • Jul 21

    2017

    Conference Date

  • May 01 2017

    Draft paper submission deadline

  • May 10 2017

    Draft Paper Acceptance Notification

  • Jul 21 2017

    Registration deadline