| Multi-concept customization of text-to-image diffusion N Kumari, B Zhang, R Zhang, E Shechtman, JY Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 406 | 2023 |
| Charting the right manifold: Manifold mixup for few-shot learning P Mangla, N Kumari, A Sinha, M Singh, B Krishnamurthy, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 368 | 2020 |
| Ablating Concepts in Text-to-Image Diffusion Models N Kumari, B Zhang, SY Wang, E Shechtman, R Zhang, JY Zhu Proceedings of the IEEE International Conference on Computer Vision, 2023 | 83 | 2023 |
| Ensembling off-the-shelf models for gan training N Kumari, R Zhang, E Shechtman, JY Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 77 | 2022 |
| Harnessing the vulnerability of latent layers in adversarially trained models N Kumari, M Singh, A Sinha, H Machiraju, B Krishnamurthy, ... Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 67* | 2019 |
| Attributional robustness training using input-gradient spatial alignment M Singh, N Kumari, P Mangla, A Sinha, VN Balasubramanian, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 30* | 2020 |
| Lt-gan: Self-supervised gan with latent transformation detection P Patel, N Kumari, M Singh, B Krishnamurthy Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 23 | 2021 |
| On the Benefits of Models with Perceptually-Aligned Gradients G Aggarwal, A Sinha, N Kumari, M Singh arXiv preprint arXiv:2005.01499, 2020 | 14 | 2020 |
| A Method for Computing Class-wise Universal Adversarial Perturbations T Gupta, A Sinha, N Kumari, M Singh, B Krishnamurthy arXiv preprint arXiv:1912.00466, 2019 | 12 | 2019 |
| Data instance prior (DISP) in generative adversarial networks P Mangla, N Kumari, M Singh, B Krishnamurthy, VN Balasubramanian Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 9 | 2022 |
| Content-Based Search for Deep Generative Models D Lu, SY Wang, N Kumari, R Agarwal, D Bau, JY Zhu arXiv preprint arXiv:2210.03116, 2022 | 6 | 2022 |
| Multimapper: Data Density Sensitive Topological Visualization B Deb, A Sarkar, N Kumari, A Rupela, P Gupta, B Krishnamurthy 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1054-1061, 2018 | 4 | 2018 |
| Shapevis: High-dimensional data visualization at scale N Kumari, A Rupela, P Gupta, B Krishnamurthy Proceedings of The Web Conference 2020, 2920-2926, 2020 | 3 | 2020 |
Balaji KrishnamurthyAdobe Inc在 adobe.com 的电子邮件经过验证
