Using techniques derived from the syntactic methods for visual pattern recognition is not
new and was much explored in the area called syntactical or structural pattern recognition …

We propose a new approach for semantic segmentation of 3D city models. Starting from an
SfM reconstruction of a street-side scene, we perform classification and facade splitting …

This paper presents a general knowledge model for propagating information in a content-
based publish-subscribe system. The model is used to derive an efficient and scalable …

In this paper, we address the following research problem: How can we generate a
meaningful split grammar that explains a given facade layout? To evaluate if a grammar is …

While computer vision techniques and big data of street-level imagery are getting increasing
attention, a “black-box” model of deep learning hinders the active application of these …

We propose a novel approach for semantic segmentation of building facades. Our system
consists of three distinct layers, representing different levels of abstraction in facade images …

With vast quantities of imagery now available online, researchers have begun to explore
whether visual patterns can be discovered automatically. Here we consider the particular …

Parsing facade images requires optimal handcrafted grammar for a given class of buildings.
Such a handcrafted grammar is often designed manually by experts. In this paper, we …

Existing deep models for facade parsing often fail in classifying pixels in heavily occluded
regions of facade images due to the difficulty in feature representation of these pixels. In this …

Building façades can feature different patterns depending on the architectural style,
functionality, and size of the buildings; therefore, reconstructing these façades can be …