14 citations · 16 across the 6 of their papers we have counts for
3 papers · 1 filter
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision
Nicholas Lui, Bryan Chia, William Berrios +2
Computer vision models have been known to encode harmful biases, leading to the potentially unfair treatment of historically marginalized groups, such as people of color. However,…
BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysis
Juan Trelles, Andrew Wentzel, William Berrios +1
In the biomedical domain, taxonomies organize the acquisition modalities of scientific images in hierarchical structures. Such taxonomies leverage large sets of correct image label…
Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language
William Berrios, Gautam Mittal, Tristan Thrush +2
We propose LENS, a modular approach for tackling computer vision problems by leveraging the power of large language models (LLMs). Our system uses a language model to reason over o…