Yue Zhang, Adrian Hilton, Jean-Yves Guillemaut. A New Approach Combining Trained Single-view Networks with Multi-view Constraints for Robust Multi-view Object Detection and Labelling. In Giovanni Maria Farinella, Petia Radeva, José Braz, editors, Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 5: VISAPP, Valletta, Malta, February 27-29, 2020. pages 452-461, SCITEPRESS, 2020. [doi]
@inproceedings{ZhangHG20,
title = {A New Approach Combining Trained Single-view Networks with Multi-view Constraints for Robust Multi-view Object Detection and Labelling},
author = {Yue Zhang and Adrian Hilton and Jean-Yves Guillemaut},
year = {2020},
doi = {10.5220/0008991104520461},
url = {https://doi.org/10.5220/0008991104520461},
researchr = {https://researchr.org/publication/ZhangHG20},
cites = {0},
citedby = {0},
pages = {452-461},
booktitle = {Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 5: VISAPP, Valletta, Malta, February 27-29, 2020},
editor = {Giovanni Maria Farinella and Petia Radeva and José Braz},
publisher = {SCITEPRESS},
isbn = {978-989-758-402-2},
}