RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation

no code implementations • 6 Sep 2023 • Hengyue Liu, Bir Bhanu

As each representation's cardinality has different trade-offs between performance and computation overhead, extracting highly representative features efficiently and dynamically is both challenging and crucial for SGG.

Graph Generation Scene Graph Generation

Fully Convolutional Scene Graph Generation

1 code implementation • CVPR 2021 • Hengyue Liu, Ning Yan, Masood S. Mortazavi, Bir Bhanu

This paper presents a fully convolutional scene graph generation (FCSGG) model that detects objects and relations simultaneously.

Graph Generation Scene Graph Generation

Dynamically Throttleable Neural Networks (TNN)

no code implementations • 1 Nov 2020 • Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek Chai, Bir Bhanu

Conditional computation for Deep Neural Networks (DNNs) reduce overall computational load and improve model accuracy by running a subset of the network.