TALENT: Table VQA via Augmented Language-Enhanced Natural-text Transcription
机构 * Johns Hopkins University(约翰霍普金斯大学) ; Purdue University(普渡大学) ; University at Albany(阿尔巴尼大学)
高校专区
机构 * Johns Hopkins University(约翰霍普金斯大学) ; Purdue University(普渡大学) ; University at Albany(阿尔巴尼大学)
机构 * Johns Hopkins University(约翰霍普金斯大学) ; Microsoft(微软) ; University of Strathclyde(斯特拉思克莱德大学)
机构 * Michigan State University(密歇根州立大学) ; Johns Hopkins University(约翰霍普金斯大学) ; University of Illinois Chicago(伊利诺伊大学香槟分校)
机构 * Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA(生物医学工程系,约翰霍普金斯大学,巴尔的摩,MD,USA) ; Johns Hopkins Malaria Research Institute, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Baltimore, MD, USA(约翰霍普金斯疟疾研究 institute,W. Harry Feinstone 分子微生物学与免疫学系,布隆伯格公共卫生学院,巴尔的摩,MD,USA) ; Dept. of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA(医学系,约翰霍普金斯大学医学院,巴尔的摩,MD,USA) ; Dept. of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA(电气与系统工程系,宾夕法尼亚大学,费城,PA,USA)
Comments Accepted to the 28th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025)
机构 * Johns Hopkins University Applied Physics Laboratory(约翰霍普金斯大学应用物理实验室) ; Johns Hopkins University(约翰霍普金斯大学) ; DEVCOM Army Research Lab(国防部陆军研究实验室)
机构 * Johns Hopkins University(约翰霍普金斯大学)
Comments Technical report. Code is available at https://github.com/SaFoLab-WISC/AutoDAN-Reasoning