Program synthesis or code generation aims to generate a program that satisfies a problem
specification. Recent approaches using large-scale pretrained language models (LMs) have …

Rapid advances in 2D perception have led to systems that accurately detect objects in real-
world images. However, these systems make predictions in 2D, ignoring the 3D structure of …

Deep generative models of 3D shapes have received a great deal of research interest. Yet,
almost all of them generate discrete shape representations, such as voxels, point clouds …

The ability to generate novel, diverse, and realistic 3D shapes along with associated part
semantics and structure is central to many applications requiring high-quality 3D assets or …

Semantic reconstruction of indoor scenes refers to both scene understanding and object
reconstruction. Existing works either address one part of this problem or focus on …

An e-graph efficiently represents a congruence relation over many expressions. Although
they were originally developed in the late 1970s for use in automated theorem provers, a …

Recent advancement of remote sensing technologies has brought in accurate, dense, and
inexpensive city-scale Light Detection And Ranging (LiDAR) point clouds, which can be …

CAD modeling, despite being the industry-standard, remains restricted to usage by skilled
practitioners due to two key barriers. First, the user must be able to mentally parse a final …

Parametric computer-aided design (CAD) is a standard paradigm used to design
manufactured objects, where a 3D shape is represented as a program supported by the …

Answering complex natural language questions on knowledge graphs (KGQA) is a
challenging task. It requires reasoning with the input natural language questions as well as …