Number of items: 4.
2022
Corke, Peter, Dayoub, Feras, Hall, David, Skinner, John, & Suenderhauf, Niko
(2022)
What Can Robotics Research Learn from Computer Vision Research?
In
Asfour, Tamim, Yoshida, Eiichi, Park, Jaeheung, Christensen, Henrik, & Khatib, Oussama (Eds.) Robotics Research: The 19th International Symposium ISRR.
Springer, Cham, Switzerland, pp. 987-1003.
2020
Hall, D., Dayoub, F., Skinner, J., Zhang, H., Miller, D., Corke, P., Carneiro, G., Angelova, A., & Sünderhauf, N.
(2020)
Probabilistic object detection: Definition and evaluation.
In
Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1020-1029.
70
2019
Suenderhauf, Niko, Dayoub, Feras, Hall, David, Skinner, John, Zhang, Haoyang, Carneiro, Gustavo, & Corke, Peter
(2019)
A probabilistic challenge for object detection.
Nature Machine Intelligence, 1(9), p. 443.
1
2016
Skinner, John, Garg, Sourav, Suenderhauf, Niko, Corke, Peter, Upcroft, Ben, & Milford, Michael
(2016)
High-fidelity simulation for evaluating robotic vision performance.
In
Kwon, D S (Ed.) Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016).
Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 2737-2744.
107
19
This list was generated on Sun Aug 4 08:44:07 2024 AEST.
