248 citations · 309 across the 28 of their papers we have counts for
4 papers · 1 filter
On the Equivalency, Substitutability, and Flexibility of Synthetic Data
Che-Jui Chang, Danrui Li, Seonghyeon Moon +1
We study, from an empirical standpoint, the efficacy of synthetic data in real-world scenarios. Leveraging synthetic data for training perception models has become a key strategy e…
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction
Gang Qiao, Kaidong Hu, Seonghyeon Moon +4
Learning-based approaches to modeling crowd motion have become increasingly successful but require training and evaluation on large datasets, coupled with complex model selection a…
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning
Honglu Zhou, Advith Chegu, Samuel S. Sohn +3
Digraph Representation Learning (DRL) aims to learn representations for directed homogeneous graphs (digraphs). Prior work in DRL is largely constrained (e.g., limited to directed…
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans
Vahid Azizi, Muhammad Usman, Honglu Zhou +2
Floorplans are commonly used to represent the layout of buildings. In computer aided-design (CAD) floorplans are usually represented in the form of hierarchical graph structures. R…