4 citations · 4 across the 1 of their papers we have counts for
11 papers
Energy-based Out-of-distribution Detection
Weitang Liu, Xiaoyun Wang, John D. Owens +1
Determining whether inputs are out-of-distribution (OOD) is an essential building block for safely deploying machine learning models in the open world. However, previous methods re…
Fast Gunrock Subgraph Matching (GSM) on GPUs
Leyuan Wang, John D. Owens
In this paper, we propose a GPU-efficient subgraph isomorphism algorithm using the Gunrock graph analytic framework, GSM (Gunrock Subgraph Matching), to compute graph matching on G…
Unsupervised Object Segmentation with Explicit Localization Module
Weitang Liu, Lifeng Wei, James Sharpnack +1
In this paper, we propose a novel architecture that iteratively discovers and segments out the objects of a scene based on the image reconstruction quality. Different from other ap…
RDMA vs. RPC for Implementing Distributed Data Structures
Benjamin Brock, Yuxin Chen, Jiakun Yan +3
Distributed data structures are key to implementing scalable applications for scientific simulations and data analysis. In this paper we look at two implementation styles for distr…
Fast BFS-Based Triangle Counting on GPUs
Leyuan Wang, John D. Owens
In this paper, we propose a novel method to compute triangle counting on GPUs. Unlike previous formulations of graph matching, our approach is BFS-based by traversing the graph in…
Object Localization with a Weakly Supervised CapsNet
Weitang Liu, Emad Barsoum, John D. Owens
Inspired by CapsNet's routing-by-agreement mechanism with its ability to learn object properties, we explore if those properties in turn can determine new properties of the objects…