| Diffuse, attend, and segment: Unsupervised zero-shot segmentation using stable diffusion J Tian, L Aggarwal, A Colaco, Z Kira, M Gonzalez-Franco arXiv preprint arXiv:2308.12469, 2023 | 14 | 2023 |
| Identity preserving loss for learned image compression J Xiao, L Aggarwal, P Banerjee, M Aggarwal, G Medioni Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| Binaural source localization using a HRTF data model with enhanced frequency diversity CS Reddy, R Agarwal, L Aggarwal, RM Hegde 2016 24th European Signal Processing Conference (EUSIPCO), 1463-1467, 2016 | 3 | 2016 |
| Fairness in AI Systems: Mitigating gender bias from language-vision models L Aggarwal, S Bhargava arXiv, https://arxiv.org/abs/2305.01888, 2018 | 1* | 2018 |
| Diffuse, Attend and Segment: Unsupervised zero-shot segmentation using stable diffusion model J Tian, L Aggarwal, A Colaco, Z Kira, MG Franco | | 2023 |
| 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)| 978-1-6654-8739-9/22/$31.00© 2022 IEEE| DOI: 10.1109/CVPRW56347. 2022.00572 W Abdulla, K Aberman, A Agarwal, L Aggarwal, M Aggarwal, S Agrawal, ... | | |
Gerard MedioniUSCVerified email at usc.edu
