4 citations · 15 across the 8 of their papers we have counts for
6 papers · 1 filter
Solaris: Towards Interfaces That Are Generated, Not Coded
Yuval Alaluf, Omri Avrahami, Guy Bukchin Leshem +18
Digital interfaces are traditionally implemented through intermediate representations such as code, requiring their appearance and behavior to be specified in advance. We introduce…
GELDA: A generative language annotation framework to reveal visual biases in datasets
Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan
Bias analysis is a crucial step in the process of creating fair datasets for training and evaluating computer vision models. The bottleneck in dataset analysis is annotation, which…
GIST: Generating Image-Specific Text for Fine-grained Object Classification
Kathleen M. Lewis, Emily Mu, Adrian V. Dalca +1
Recent vision-language models outperform vision-only models on many image classification tasks. However, because of the absence of paired text/image descriptions, it remains diffic…
SizeGAN: Improving Size Representation in Clothing Catalogs
Kathleen M. Lewis, John Guttag
Online clothing catalogs lack diversity in body shape and garment size. Brands commonly display their garments on models of one or two sizes, rarely including plus-size models. To…
TryOnGAN: Body-Aware Try-On via Layered Interpolation
Kathleen M Lewis, Srivatsan Varadharajan, Ira Kemelmacher-Shlizerman
Given a pair of images-target person and garment on another person-we automatically generate the target person in the given garment. Previous methods mostly focused on texture tran…
Fast Learning-based Registration of Sparse 3D Clinical Images
Kathleen M. Lewis, Natalia S. Rost, John Guttag +1
We introduce SparseVM, a method that registers clinical-quality 3D MR scans both faster and more accurately than previously possible. Deformable alignment, or registration, of clin…