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ORCIDNupur Kumari
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2020 – today
- 2024
[i16]Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu:
Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR abs/2404.12333 (2024)- [i15]Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu:
Customizing Text-to-Image Models with a Single Image Pair. CoRR abs/2405.01536 (2024) - [i14]Sean J. Liu, Nupur Kumari, Ariel Shamir, Jun-Yan Zhu:
Generative Photomontage. CoRR abs/2408.07116 (2024) - 2023
- [c12]Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. CVPR 2023: 1931-1941 - [c11]Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu:
Ablating Concepts in Text-to-Image Diffusion Models. ICCV 2023: 22634-22645 - [c10]Daohan Lu
, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, Mia Tang, David Bau, Jun-Yan Zhu:
Content-based Search for Deep Generative Models. SIGGRAPH Asia 2023: 71:1-71:12 - [i13]Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu:
Ablating Concepts in Text-to-Image Diffusion Models. CoRR abs/2303.13516 (2023) - 2022
- [c9]Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. CVPR 2022: 10641-10652 - [c8]Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Data InStance Prior (DISP) in Generative Adversarial Networks. WACV 2022: 3471-3481 - [i12]Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, David Bau, Jun-Yan Zhu:
Content-Based Search for Deep Generative Models. CoRR abs/2210.03116 (2022) - [i11]Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. CoRR abs/2212.04488 (2022) - 2021
- [c7]Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. WACV 2021: 3188-3197 - [i10]Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. CoRR abs/2112.09130 (2021) - 2020
- [c6]Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Attributional Robustness Training Using Input-Gradient Spatial Alignment. ECCV (27) 2020: 515-533 - [c5]Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV 2020: 2207-2216 - [c4]Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
ShapeVis: High-dimensional Data Visualization at Scale. WWW 2020: 2920-2926 - [i9]Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
ShapeVis: High-dimensional Data Visualization at Scale. CoRR abs/2001.05166 (2020) - [i8]Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh:
On the Benefits of Models with Perceptually-Aligned Gradients. CoRR abs/2005.01499 (2020) - [i7]Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. CoRR abs/2010.09893 (2020) - [i6]Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Data Instance Prior for Transfer Learning in GANs. CoRR abs/2012.04256 (2020)
2010 – 2019
- 2019
- [c3]Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. IJCAI 2019: 2779-2785 - [i5]Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. CoRR abs/1905.05186 (2019) - [i4]Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. CoRR abs/1907.12087 (2019) - [i3]Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
On the Benefits of Attributional Robustness. CoRR abs/1911.13073 (2019) - [i2]Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
A Method for Computing Class-wise Universal Adversarial Perturbations. CoRR abs/1912.00466 (2019) - 2018
- [c2]Bishal Deb, Ankita Sarkar, Nupur Kumari, Akash Rupela, Piyush Gupta, Balaji Krishnamurthy:
Multimapper: Data Density Sensitive Topological Visualization. ICDM Workshops 2018: 1054-1061 - [c1]Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy:
Understanding Adversarial Space Through the Lens of Attribution. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 30-40 - [i1]Milan Aggarwal, Nupur Kumari, Ayush Bansal, Balaji Krishnamurthy:
ReDecode Framework for Iterative Improvement in Paraphrase Generation. CoRR abs/1811.04454 (2018)
Coauthor Index
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