3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2026
When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems
Shesh Narayan Gupta, Nik Bear Brown
Generative models are widely used to compensate for class imbalance in AI training pipelines, yet their failure modes under low-data conditions are poorly understood. This paper re…
cs.CV2022★ 3 cited
Adjusting for Bias with Procedural Data
Shesh Narayan Gupta, Nicholas Bear Brown
3D softwares are now capable of producing highly realistic images that look nearly indistinguishable from the real images. This raises the question: can real datasets be enhanced w…