2 papers
cs.HC2019
Detecting Compromised Implicit Association Test Results Using Supervised Learning
Brendon Boldt, Zack While, Eric Breimer
An implicit association test is a human psychological test used to measure subconscious associations. While widely recognized by psychologists as an effective tool in measuring att…
cs.CV2019
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
Yang Zhou, Zachary While, Evangelos Kalogerakis
In this paper we propose a neural message passing approach to augment an input 3D indoor scene with new objects matching their surroundings. Given an input, potentially incomplete,…