Kathleen M. Lewis

13 papers A* 1A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2023 — —
Developing Domain-Specific Generative Methods
Kathleen M. Lewis
2023 J jnl
GELDA: A generative language annotation framework to reveal visual biases in datasets.
CoRR
Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan
2023 J jnl
Generating Image-Specific Text Improves Fine-grained Image Classification.
CoRR
Emily Mu, Kathleen M. Lewis, Adrian V. Dalca, John V. Guttag
2022 A conf
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs.
IUI
Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
2022 J jnl
SizeGAN: Improving Size Representation in Clothing Catalogs.
CoRR
Kathleen M. Lewis, John V. Guttag
2021 J jnl
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs.
CoRR
Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
2021 J jnl
TryOnGAN: body-aware try-on via layered interpolation.
ACM Trans. Graph.
Kathleen M. Lewis, Srivatsan Varadharajan, Ira Kemelmacher-Shlizerman
2021 J jnl
VOGUE: Try-On by StyleGAN Interpolation Optimization.
CoRR
Kathleen M. Lewis, Srivatsan Varadharajan, Ira Kemelmacher-Shlizerman
2020 — conf
Fast learning-based registration of sparse 3D clinical images.
CHIL
Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2020 A* conf
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings.
CVPR
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2020 J jnl
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings.
CoRR
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2018 J jnl
Fast Learning-based Registration of Sparse Clinical Images.
CoRR
Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2016 — conf
GPU-accelerated charge mapping.
HPEC
Ahmed Sanaullah, Saiful A. Mojumder, Kathleen M. Lewis, Martin C. Herbordt