Jean-Paul Ainam

Ph.D, school of Computer Science and Engineering
UESTC, Chengdu, Sichuan, P.R.China.
Email: jpainam@gmail.com

Welcome to Jean-Paul Ainam’s Homepage

Biography

Hi! I completed my Ph.D. in December 2020, at the School of Computer Science and Engineering, University of Electronic Science and Technology of China, under the supervision of Prof. Qin Ke. I received my Master’s degree from Babcock University in 2014, under the supervision of Prof. Okolie S.O and my bachelor’s degree in Cosendai Adventist University in 2012.

My current research topics include image classification, person re-identification and Generative Adversarial Networks (GANs). Details can be found in my CV. Feel free to contact me at jpainam at gmail dot com for a job or postdoc position.

Selected Publications

  • Jean-Paul Ainam, Ke Qin, Jim Wilson Owusu, and Guoming Lu. Unsupervised domain adaptation for person re-identification with iterative soft clustering. Knowledge-Based Systems 106644. doi: 10.1016/j.knosys.2020.106644.

  • Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo, and Brighter Agyemang. Enforcing Affinity Feature Learning through Self-attention for Person Re-identification. ACM Trans. Multimedia Comput. Commun. Appl. 16, 1, Article 16 (March 2020), 22 pages. doi: 10.1145/3377352.

  • Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo. Sparse Label Smoothing Regularization for Person Re-Identification, IEEE Access, vol. 7, pp. 185486-185495, 2019. doi: 10.1109/ACCESS.2019.2901599.

  • Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo. View-Invariant and Similarity Learning for Robust Person Re-Identification, IEEE Access, vol. 7, pp. 27899-27910, 2019. doi: 10.1109/ACCESS.2019.2960030.

  • Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo. Person Re-identification through Clustering and Partial Label Smoothing Regularization. 2nd International Conference on Software Engineering and Information Management (ICSIM 2019), January 10–13, 2019, Bali, Indonesia. ACM, New York, NY, USA, Article 4, 6 pages. doi: 10.1145/3305160.3305205. 2019

  • Jean-Paul Ainam, Ke Qin*, Guisong Liu, Guangchun Luo. Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy. 11th International Conference on Machine Learning and Computing (ICMLC19), February 22–24, 2019, Zhuhai, China. ACM, New York, NY, USA, 6 pages. doi: 10.1145/3318299.3318324. 2019

Arxiv Preprint

Teaching (2014-2017)

  • Object Oriented Programming
  • Web site programming and Applications
  • C Programming
  • Advanced Data Structure

Certifications

  • Cisco Certified Network, CCNA & CCNP. Certification Verification No. 414694170760EOWK 2013
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Last update: Dec 2020