| A frequency perspective of adversarial robustness SR Maiya, M Ehrlich, V Agarwal, SN Lim, T Goldstein, A Shrivastava arXiv preprint arXiv:2111.00861, 2021 | 22 | 2021 |
| Weakly supervised lesion co-segmentation on CT scans V Agarwal, Y Tang, J Xiao, RM Summers 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 203-206, 2020 | 12 | 2020 |
| Weakly-supervised lesion segmentation on CT scans using co-segmentation V Agarwal, Y Tang, J Xiao, RM Summers Medical Imaging 2020: Computer-Aided Diagnosis 11314, 356-361, 2020 | 11 | 2020 |
| Diffusion models beat gans on image classification S Mukhopadhyay, M Gwilliam, V Agarwal, N Padmanabhan, ... arXiv preprint arXiv:2307.08702, 2023 | 10 | 2023 |
| Volumetric super-resolution imaging by serial ultrasectioning and stochastic optical reconstruction microscopy in mouse neural tissue T Vatan, JA Minehart, C Zhang, V Agarwal, J Yang, CM Speer STAR protocols 2 (4), 100971, 2021 | 3 | 2021 |
| Unifying the harmonic analysis of adversarial attacks and robustness SR Maiya, M Ehrlich, V Agarwal, SN Lim, T Goldstein, A Shrivastava BMVC, 2023 | 1 | 2023 |
| Do text-free diffusion models learn discriminative visual representations? S Mukhopadhyay, M Gwilliam, Y Yamaguchi, V Agarwal, ... arXiv preprint arXiv:2311.17921, 2023 | | 2023 |
| Volumetric super-resolution imaging by serial ultrasectioning and STochastic Optical Reconstruction Microscopy (STORM) in neural tissue T Vatan, JA Minehart, C Zhang, V Agarwal, J Yang, CM Speer | | 2021 |
| Introducing Feedback Connections for Vision Transformers V Agarwal | | |
| Using Recurrent Architectures to Generalize From Easy to Hard Problems in Image Denoising N Raman, A Mao, V Agarwal, A Jaiman | | |
