Sotabase

Career

· Intern, Meta2024–
· Teaching Assistantship, Carnegie Mellon University2023–2023
· Intern, Adobe Research2022–
· PhD Student, Carnegie Mellon University2022–
· MS in Robotics, Carnegie Mellon University2021–2022
· Organizer: Graphics Seminar, Carnegie Mellon University2021–
· Member and Senior Member of Technical Staff, Adobe2017–2021
· Integrated M. Tech in Mathematics and Computing, Indian Institute of Technology Delhi2012–2017

Publications (23)

Multi-Concept Customization of Text-to-Image Diffusion
Computer Vision and Pattern Recognition · 2022
1,183
cited
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2019
366
cited
Ablating Concepts in Text-to-Image Diffusion Models
IEEE International Conference on Computer Vision · 2023
288
cited
Ensembling Off-the-shelf Models for GAN Training
Computer Vision and Pattern Recognition · 2021
114
cited
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
International Joint Conference on Artificial Intelligence · 2019
66
cited
Customizing Text-to-Image Models with a Single Image Pair
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia · 2024
38
cited
Attributional Robustness Training Using Input-Gradient Spatial Alignment
European Conference on Computer Vision · 2019
21
cited
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2020
20
cited
On the Benefits of Models with Perceptually-Aligned Gradients
arXiv.org · 2020
16
cited
Generating Multi-Image Synthetic Data for Text-to-Image Customization
arXiv.org · 2025
15
cited
Data InStance Prior (DISP) in Generative Adversarial Networks
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2020
12
cited
A Method for Computing Class-wise Universal Adversarial Perturbations
arXiv.org · 2019
11
cited
Customizing Text-to-Image Diffusion with Object Viewpoint Control
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia · 2024
11
cited
On the Benefits of Attributional Robustness
arXiv.org · 2019
10
cited
Content-based Search for Deep Generative Models
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia · 2022
9
cited
Customizing Text-to-Image Diffusion with Camera Viewpoint Control
arXiv.org · 2024
9
cited
Data Instance Prior for Transfer Learning in GANs
arXiv.org · 2020
4
cited
ShapeVis: High-dimensional Data Visualization at Scale
The Web Conference · 2020
4
cited
Generative Photomontage
Computer Vision and Pattern Recognition · 2024
3
cited
Learning an Image Editing Model without Image Editing Pairs
arXiv.org · 2025
3
cited
Sotabase
Nupur Kumari | Researcher Profile | Sotabase | Sotabase