Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba 0001. MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. In Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner, editors, Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVII. Volume 13687 of Lecture Notes in Computer Science, pages 304-321, Springer, 2022. [doi]
@inproceedings{XuZVL022,
title = {MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning},
author = {Xiaogang Xu and Hengshuang Zhao and Vibhav Vineet and Ser-Nam Lim and Antonio Torralba 0001},
year = {2022},
doi = {10.1007/978-3-031-19812-0_18},
url = {https://doi.org/10.1007/978-3-031-19812-0_18},
researchr = {https://researchr.org/publication/XuZVL022},
cites = {0},
citedby = {0},
pages = {304-321},
booktitle = {Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVII},
editor = {Shai Avidan and Gabriel J. Brostow and Moustapha Cissé and Giovanni Maria Farinella and Tal Hassner},
volume = {13687},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-19812-0},
}