Nupur Kumari - RankMe

33 papers A* 9A 3Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generating Multi-Image Synthetic Data for Text-to-Image Customization. CoRR Nupur Kumari, Xi Yin, Jun-Yan Zhu, Ishan Misra, Samaneh Azadi
2025	A*	`conf`	Generative Photomontage. CVPR Sean J. Liu, Nupur Kumari, Ariel Shamir, Jun-Yan Zhu
2025	J	`jnl`	Learning an Image Editing Model without Image Editing Pairs. CoRR Nupur Kumari, Sheng-Yu Wang, Nanxuan Zhao, Yotam Nitzan, Yuheng Li, Krishna Kumar Singh, Richard Zhang, Eli Shechtman, Jun-Yan Zhu, Xun Huang
2024	J	`jnl`	Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
2024	A*	`conf`	Customizing Text-to-Image Diffusion with Object Viewpoint Control. SIGGRAPH Asia Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
2024	A*	`conf`	Customizing Text-to-Image Models with a Single Image Pair. SIGGRAPH Asia Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu
2024	J	`jnl`	Customizing Text-to-Image Models with a Single Image Pair. CoRR Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu
2024	J	`jnl`	Generative Photomontage. CoRR Sean J. Liu, Nupur Kumari, Ariel Shamir, Jun-Yan Zhu
2023	A*	`conf`	Ablating Concepts in Text-to-Image Diffusion Models. ICCV Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
2023	J	`jnl`	Ablating Concepts in Text-to-Image Diffusion Models. CoRR Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
2023	A*	`conf`	Content-based Search for Deep Generative Models. SIGGRAPH Asia Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, Mia Tang, David Bau, Jun-Yan Zhu
2023	A*	`conf`	Multi-Concept Customization of Text-to-Image Diffusion. CVPR Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2022	J	`jnl`	Content-Based Search for Deep Generative Models. CoRR Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, David Bau, Jun-Yan Zhu
2022	A	`conf`	Data InStance Prior (DISP) in Generative Adversarial Networks. WACV Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
2022	A*	`conf`	Ensembling Off-the-shelf Models for GAN Training. CVPR Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2022	J	`jnl`	Multi-Concept Customization of Text-to-Image Diffusion. CoRR Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2021	J	`jnl`	Ensembling Off-the-shelf Models for GAN Training. CoRR Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2021	A	`conf`	LT-GAN: Self-Supervised GAN with Latent Transformation Detection. WACV Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
2020	—	`conf`	Attributional Robustness Training Using Input-Gradient Spatial Alignment. ECCV (27) Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2020	A	`conf`	Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2020	J	`jnl`	Data Instance Prior for Transfer Learning in GANs. CoRR Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2020	J	`jnl`	LT-GAN: Self-Supervised GAN with Latent Transformation Detection. CoRR Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
2020	J	`jnl`	On the Benefits of Models with Perceptually-Aligned Gradients. CoRR Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh
2020	A*	`conf`	ShapeVis: High-dimensional Data Visualization at Scale. WWW Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy
2020	J	`jnl`	ShapeVis: High-dimensional Data Visualization at Scale. CoRR Nupur Kumari, Siddarth R., Akash Rupela, Piyush Gupta, Balaji Krishnamurthy
2019	J	`jnl`	A Method for Computing Class-wise Universal Adversarial Perturbations. CoRR Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
2019	J	`jnl`	Charting the Right Manifold: Manifold Mixup for Few-shot Learning. CoRR Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2019	A*	`conf`	Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. IJCAI Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian
2019	J	`jnl`	Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. CoRR Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian
2019	J	`jnl`	On the Benefits of Attributional Robustness. CoRR Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy
2018	—	`conf`	Multimapper: Data Density Sensitive Topological Visualization. ICDM Workshops Bishal Deb, Ankita Sarkar, Nupur Kumari, Akash Rupela, Piyush Gupta, Balaji Krishnamurthy
2018	J	`jnl`	ReDecode Framework for Iterative Improvement in Paraphrase Generation. CoRR Milan Aggarwal, Nupur Kumari, Ayush Bansal, Balaji Krishnamurthy
2018	—	`conf`	Understanding Adversarial Space Through the Lens of Attribution. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy