• 9 Citations
20162019
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Fingerprint Dive into the research topics where Amir Ghahremani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Cameras Engineering & Materials Science
Self-learning Mathematics
Vessel Mathematics
Ships Engineering & Materials Science
Labels Engineering & Materials Science
Multi-class Mathematics
Bridge piers Engineering & Materials Science
Detectors Engineering & Materials Science

Research Output 2016 2019

  • 9 Citations
  • 6 Conference contribution
  • 2 Paper
  • 1 Poster

Multi-class detection and orientation recognition of vessels in maritime surveillance

Ghahremani, A., Kong, Y., Bondarau, Y. & de With, P. H. N., 15 Jan 2019, p. 266-1-266-5. 5 p.

Research output: Contribution to conferencePaperAcademic

Labels
1 Downloads (Pure)

Re-identification of vessels with convolutional neural networks

Ghahremani, A., Kong, Y., Bondarev, E. & de With, P. H. N., 1 Jan 2019, 5th International Conference on Computer and Technology Applications, (ICCTA2019). Association for Computing Machinery, Inc, p. 93-97 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Neural networks
Cameras
6 Citations (Scopus)

Self-learning framework with temporal filtering for robust maritime vessel detection

Ghahremani, A., Bondarev, E. & de With, P. H. N., 5 May 2019, Representations, Analysis and Recognition of Shape and Motion from Imaging Data - 7th International Workshop, RFMI 2017, Revised Selected Papers. Ghorbel, F., Chen, L. & Ben Amor, B. (eds.). Cham: Springer, p. 121-135 15 p. (Communications in Computer and Information Science; vol. 842).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Self-learning
Vessel
Filtering
Detectors
Detector
1 Downloads (Pure)

Towards multi-class detection: a self-learning approach to reduce inter-class noise from training dataset

Ghahremani, A., Bondarev, E. & de With, P. H. N., 15 Mar 2019, Eleventh International Conference on Machine Vision, ICMV 2018. Verikas, A., Nikolaev, D. P., Radeva, P. & Zhou, J. (eds.). SPIE, 8 p. 110411M. (Proceedings of SPIE; vol. 11041).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Self-learning
Multi-class
learning
education
Object Model

Towards parameter-optimized vessel re-identification based on IORnet

Ghahremani, A., Kong, Y., Bondarev, E. & de With, P. H. N., 8 Jun 2019, Computational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings. Dongarra, J. J., Rodrigues, J. M. F., Cardoso, P. J. S., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M. H. & Sloot, P. M. A. (eds.). Cham: Springer, p. 125-136 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11540 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Vessel
Ships
Cameras
Trajectories
Data Augmentation