基本信息
views: 0
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
Landry Kezebou (Graduate Student Member, IEEE) received the Bachelor's of Engineering degree in electrical engineering from Ahmadu Bello University, Zaria, Nigeria, in 2014, and the M.S. degree in electrical and computer engineering from Tufts University, Medford, MA, USA, in 2019. He is currently working toward the Ph.D. degree with Tufts ECE Department.
His current research interest includes using the latest computer vision and deep learning technologies for highway intelligent transportation systems, as well as object detection and object tracking. He is also interested in underwater object tracking, image enhancement, and generative adversarial networks.
Research Interests
Papers共 15 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
MULTIMODAL IMAGE EXPLOITATION AND LEARNING 2022 (2022)
MULTIMODAL IMAGE EXPLOITATION AND LEARNING 2022 (2022)
Multimodal Image Exploitation and Learning 2021 (2021): 183-197
AIno. 4 (2021): 684-704
2021 IEEE International Symposium on Technologies for Homeland Security (HST)pp.1-9, (2021)
MULTIMODAL IMAGE EXPLOITATION AND LEARNING 2021 (2021)
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn