All Outputs (4)

A novel autoencoder for structural anomalies detection in river tunnel operation (2023)
Journal Article
TAN, X., Palaiahnakote, S., Chen, W., Cheng, K., & Du, B. (2024). A novel autoencoder for structural anomalies detection in river tunnel operation. Expert systems with applications, 244, https://doi.org/10.1016/j.eswa.2023.122906

Anomaly diagnosis is essential to prevent disasters and ensure long-term stable operation of tunnels. However, the diversity and scarcity of abnormal data make it difficult to identify outliers, especially to diagnose structural anomalies from poor-q... Read More about A novel autoencoder for structural anomalies detection in river tunnel operation.

A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation (2023)
Journal Article
Liu, K., Lyu, S., Shivakumara, P., Blumenstein, M., & Lu, Y. (2023). A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation. IEEE Signal Processing Letters, 30, https://doi.org/10.1109/LSP.2023.3326088

Detecting prohibited items via X-ray screening at airports and sensitive venues is essential for preventing smuggling and breaches of security. The difficulty in prohibited items inspection lies in accurately detecting prohibited items in complex X-r... Read More about A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation.

A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images (2023)
Journal Article
Shivakumara, P., Banerjee, A., Pal, U., Nandanwar, L., Lu, T., & Liu, C. (2023). A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 32, 3552 - 3566. https://doi.org/10.1109/TIP.2023.3287038

Due to the adverse effect of quality caused by different social media and arbitrary languages in natural scenes, detecting text from social media images and transferring its style is challenging. This paper presents a novel end-to-end model for text... Read More about A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images.

Classification of aesthetic natural scene images using statistical and semantic features (2023)
Journal Article
Biswas, K., Shivakumara, P., Pal, U., Lu, T., Blumenstein, M., & Lladós, J. (2023). Classification of aesthetic natural scene images using statistical and semantic features. Multimedia Tools and Applications, 82, 13507–13532. https://doi.org/10.1007/s11042-022-13924-7

Aesthetic image analysis is essential for improving the performance of multimedia image retrieval systems, especially from a repository of social media and multimedia content stored on mobile devices. This paper presents a novel method for classifyin... Read More about Classification of aesthetic natural scene images using statistical and semantic features.