| Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion J Tian, L Aggarwal, A Colaco, Z Kira, M Gonzalez-Franco Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 62 | 2024 |
| 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 | 7 | 2022 |
| Diffuse, Attend and Segment: Unsupervised zero-shot segmentation using stable diffusion model J Tian, L Aggarwal, A Colaco, Z Kira, MG Franco | 3 | 2023 |
| Fairness in AI Systems: Mitigating gender bias from language-vision models L Aggarwal, S Bhargava arXiv, https://arxiv.org/abs/2305.01888, 2018 | 3* | 2018 |
| 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 |
| UNSUPERVISED ZERO-SHOT SEGMENTATION MASK GENERATION AND SEMANTIC LABELING MG Franco, J Tian, L Aggarwal, A Colaco US Patent App. 18/792,206, 2025 | | 2025 |
| YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks S Bandyopadhyay, V Bahirwani, L Aggarwal, B Guda, L Li, A Colaco arXiv preprint arXiv:2501.09355, 2025 | | 2025 |
| System for generating enhanced training data L Aggarwal, M Aggarwal, GG Medioni, D Kumar US Patent 12,190,566, 2025 | | 2025 |
| 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, ... | | |
Andrea ColacoPhD, Massachusetts Institute of Technology確認したメール アドレス: google.com