7 citations · 7 across the 4 of their papers we have counts for
4 papers
ProtoVAE: Prototypical Networks for Unsupervised Disentanglement
Vaishnavi Patil, Matthew Evanusa, Joseph JaJa
Generative modeling and self-supervised learning have in recent years made great strides towards learning from data in a completely unsupervised way. There is still however an open…
TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation
Jun Wang, Mingfei Gao, Yuqian Hu +5
Text-VQA aims at answering questions that require understanding the textual cues in an image. Despite the great progress of existing Text-VQA methods, their performance suffers fro…
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing
Amit Kumar Kundu, Joseph Jaja
Federated learning (FL) is a recently developed area of machine learning, in which the private data of a large number of distributed clients is used to develop a global model under…
Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes
Yu Jin, Joseph F. JaJa, Rong Chen +1
Diffusion Magnetic Resonance Imaging (MRI) exploits the anisotropic diffusion of water molecules in the brain to enable the estimation of the brain's anatomical fiber tracts at a r…