4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023
RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation
Hengyue Liu, Bir Bhanu
Scene Graph Generation (SGG) has achieved significant progress recently. However, most previous works rely heavily on fixed-size entity representations based on bounding box propos…
cs.CV2021★ 1 cited
Fully Convolutional Scene Graph Generation
Hengyue Liu, Ning Yan, Masood S. Mortazavi +1
This paper presents a fully convolutional scene graph generation (FCSGG) model that detects objects and relations simultaneously. Most of the scene graph generation frameworks use…
cs.LG2020★ 4 cited
Dynamically Throttleable Neural Networks (TNN)
Hengyue Liu, Samyak Parajuli, Jesse Hostetler +2
Conditional computation for Deep Neural Networks (DNNs) reduce overall computational load and improve model accuracy by running a subset of the network. In this work, we present a…