CSGNet: Neural Shape Parser for Constructive Solid Geometry

We present a neural architecture that takes as input a 2D or 3D shape and outputs a program that generates the shape. The instructions in our program are based on constructive solid geometry principles, i.e., a set of boolean operations on shape primitives defined recursively. Bottom-up techniques for this shape parsing task rely on primitive detection and are inherently slow since the search space over possible primitive combinations is large. In contrast, our model uses a recurrent neural network that parses the input shape in a top-down manner, which is significantly faster and yields a compact and easy-to-interpret sequence of modeling instructions. Our model is also more effective as a shape detector compared to existing state-of-the-art detection techniques. We finally demonstrate that our network can be trained on novel datasets without ground-truth program annotations through policy gradient techniques.Comment: Accepted at CVPR-201

Smart Cities: Inverse Design of 3D Urban Procedural Models with Traffic and Weather Simulation

Urbanization, the demographic transition from rural to urban, has changed how we envision and share the world. From just one-fourth of the population living in cities one hundred years ago, now more than half of the population does, and this ratio is expected to grow in the near future. Creating more sustainable, accessible, safe, and enjoyable cities has become an imperative

Disentangling the Relationship Between Race and Attitudes Toward the Police: Police Contact, Perceptions of Safety, and Procedural Justice

Recent incidents involving police shootings of unarmed men of color have increased tensions between communities and police departments across the United States. In response, scholars have intensified efforts to understand the factors that shape attitudes toward the police. The current study examines individual and aggregate factors that influence satisfaction with the police. To this end, we address three research questions: (a) are there significant racial/ethnic differences in satisfaction with police; (b) do these differences persist after accounting for experiences with the police, perceptions of safety, and aggregate measures; and (c) can procedural justice help explain racial variation in attitudes toward the police? Study findings highlight the importance of perceptions of safety in explaining racial/ethnic variation in attitudes toward the police