Outputs (40)

Action recognition on continuous video (2021)
Journal Article
Chang, Y., Chan, C., & Remagnino, P. (2021). Action recognition on continuous video. Neural Computing and Applications, 33(4), 1233-1243. https://doi.org/10.1007/s00521-020-04982-9

Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer (2020)
Journal Article
Welikala, R. A., Remagnino, P., Lim, J. H., Chan, C. S., Rajendran, S., Kallarakkal, T. G., Zain, R. B., Jayasinghe, R. D., Rimal, J., Kerr, A. R., Amtha, R., Patil, K., Tilakaratne, W. M., Gibson, J., Cheong, S. C., & Barman, S. A. (2020). Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer. IEEE Access, 8, 132677-132693. https://doi.org/10.1109/access.2020.3010180

SYNTHETIC CROWD AND PEDESTRIAN GENERATOR FOR DEEP LEARNING PROBLEMS (2020)
Presentation / Conference Contribution
Khadka, A., Remagnino, P., & Argyriou, V. (2020, December). SYNTHETIC CROWD AND PEDESTRIAN GENERATOR FOR DEEP LEARNING PROBLEMS. Presented at 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING Inst Elect \& Elect Engineers; Inst Elect \& Elect Engineers, Signal Proc Soc

Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices (2020)
Presentation / Conference Contribution
Khadka, A., Argyriou, V., & Remagnino, P. (2020, December). Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices. Presented at 16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020) IEEE Comp Soc

Improving Dataset Volumes and Model Accuracy With Semi-Supervised Iterative Self-Learning (2020)
Journal Article
Dupre, R., Fajtl, J., Argyriou, V., & Remagnino, P. (2020). Improving Dataset Volumes and Model Accuracy With Semi-Supervised Iterative Self-Learning. IEEE Transactions on Image Processing, 29, 4337-4348. https://doi.org/10.1109/tip.2019.2913986

A Boundary Node Method for path planning of mobile robots (2020)
Journal Article
Saeed, R., Recupero, D. R., & Remagnino, P. (2020). A Boundary Node Method for path planning of mobile robots. Robotics and Autonomous Systems, 123, Article 103320. https://doi.org/10.1016/j.robot.2019.103320

Urban Scene Segmentation using Semi-supervised GAN (2019)
Presentation / Conference Contribution
Kerdegari, H., Razaak, M., Argyriou, V., & Remagnino, P. (2019, December). Urban Scene Segmentation using Semi-supervised GAN. Presented at IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXV SPIE

Multi-scale Feature Fused Single Shot Detector for Small Object Detection in UAV Images (2019)
Presentation / Conference Contribution
Razaak, M., Kerdegari, H., Argyriou, V., & Remagnino, P. (2019, December). Multi-scale Feature Fused Single Shot Detector for Small Object Detection in UAV Images. Presented at COMPUTER VISION SYSTEMS (ICVS 2019)

Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation (2019)
Presentation / Conference Contribution
Rimboux, A., Dupre, R., Daci, E., Lagkas, T., Sarigiannidis, P., Remagnino, P., & Argyriou, V. (2019, December). Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation. Presented at 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS) IEEE Comp Soc

A Comparison of Embedded Deep Learning Methods for Person Detection (2019)
Presentation / Conference Contribution
Kim, C. E., Oghaz, M. M. D., Fajtl, J., Argyriou, V., & Remagnino, P. (2019, December). A Comparison of Embedded Deep Learning Methods for Person Detection. Presented at PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 5