| Manymodalqa: Modality disambiguation and qa over diverse inputs D Hannan, A Jain, M Bansal Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7879-7886, 2020 | 42 | 2020 |
| Improving generation and evaluation of visual stories via semantic consistency A Maharana, D Hannan, M Bansal arXiv preprint arXiv:2105.10026, 2021 | 32 | 2021 |
| StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation A Maharana, D Hannan, M Bansal European Conference on Computer Vision, 70-87, 2022 | 28 | 2022 |
| RESIN-11: Schema-guided event prediction for 11 newsworthy scenarios X Du, Z Zhang, S Li, P Yu, H Wang, T Lai, X Lin, Z Wang, I Liu, B Zhou, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 27 | 2022 |
| Deep sparse coding for invariant multimodal halle berry neurons E Kim, D Hannan, G Kenyon Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 27 | 2018 |
| MobilePTX: sparse coding for pneumothorax detection given limited training examples D Hannan, SC Nesbit, X Wen, G Smith, Q Zhang, A Goffi, V Chan, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15675 …, 2023 | 3 | 2023 |
| Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure D Hannan, SC Nesbit, X Wen, G Smith, Q Zhang, A Goffi, V Chan, ... arXiv preprint arXiv:2403.02236, 2024 | | 2024 |
| Event-to-Video Conversion for Overhead Object Detection D Hannan, R Arnab, G Parpart, GT Kenyon, E Kim, Y Watkins arXiv preprint arXiv:2402.06805, 2024 | | 2024 |
Garrett T KenyonLos Alamos National LaboratoryVerified email at lanl.gov
