Nupur Kumari

According to our database, Nupur Kumari authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Content-based Search for Deep Generative Models.

Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, Mia Tang, David Bau, Jun-Yan Zhu

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Ablating Concepts in Text-to-Image Diffusion Models.

Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Concept Customization of Text-to-Image Diffusion.

Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Content-Based Search for Deep Generative Models.

Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, David Bau, Jun-Yan Zhu

CoRR, 2022

Data InStance Prior (DISP) in Generative Adversarial Networks.

Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Ensembling Off-the-shelf Models for GAN Training.

Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

LT-GAN: Self-Supervised GAN with Latent Transformation Detection.

Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

Data Instance Prior for Transfer Learning in GANs.

Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2020

On the Benefits of Models with Perceptually-Aligned Gradients.

Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh

CoRR, 2020

ShapeVis: High-dimensional Data Visualization at Scale.

Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Charting the Right Manifold: Manifold Mixup for Few-shot Learning.

Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Attributional Robustness Training Using Input-Gradient Spatial Alignment.

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Method for Computing Class-wise Universal Adversarial Perturbations.

Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy

CoRR, 2019

On the Benefits of Attributional Robustness.

Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy

CoRR, 2019

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models.

Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

ReDecode Framework for Iterative Improvement in Paraphrase Generation.

Milan Aggarwal, Nupur Kumari, Ayush Bansal, Balaji Krishnamurthy

CoRR, 2018

Understanding Adversarial Space Through the Lens of Attribution.

Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy

Proceedings of the ECML PKDD 2018 Workshops, 2018

Multimapper: Data Density Sensitive Topological Visualization.

Bishal Deb, Ankita Sarkar, Nupur Kumari, Akash Rupela, Piyush Gupta, Balaji Krishnamurthy

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018