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Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery.

Y. Gaus, N. Bhowmik, S. Akçay, P. Guillén-Garcia, J. Barker, and T. Breckon. IJCNN, page 1-8. IEEE, (2019)

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Yonas Yohannes Shikur

Katharina Gaus

Synthetic peptide ligands of proteins and DNA: structure and functionK. Gaus. Uni Bielefeld, (2009)

Yona Nebel-Jacobsen

Michael Gaus

Norbert Gaus

Other publications of authors with the same name

Decoupling Temporal Dynamics for Naturalistic Affect Recognition in a Two-Stage Regression Framework.Y. Gaus, H. Meng, and A. Jan. CYBCONF, page 1-6. IEEE, (2017)Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery.N. Bhowmik, J. Barker, Y. Gaus, and T. Breckon. CVPR Workshops, page 368-377. IEEE, (2022)Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction.Y. Liu, H. Meng, M. Swash, Y. Gaus, and R. Qin. FG, page 802-807. IEEE Computer Society, (2018)Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery.T. Webb, N. Bhowmik, Y. Gaus, and T. Breckon. ICMLA, page 610-615. IEEE, (2021)Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery.Y. Gaus, N. Bhowmik, S. Akçay, P. Guillén-Garcia, J. Barker, and T. Breckon. IJCNN, page 1-8. IEEE, (2019)Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery.Y. Gaus, N. Bhowmik, B. Isaac-Medina, H. Shum, A. Atapour-Abarghouei, and T. Breckon. CVPR Workshops, page 2995-3005. IEEE, (2023)The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery.N. Bhowmik, Q. Wang, Y. Gaus, M. Szarek, and T. Breckon. CoRR, (2019)Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention.J. Raju, Y. Gaus, and T. Breckon. ICMLA, page 688-693. IEEE, (2021)On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks.N. Bhowmik, Y. Gaus, and T. Breckon. ICIP, page 1224-1228. IEEE, (2021)Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption.J. Barker, N. Bhowmik, Y. Gaus, and T. Breckon. VISIGRAPP (5: VISAPP), page 615-625. SCITEPRESS, (2023)

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Disambiguation of "Gaus, Yona Falinie A."

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Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery.

Please choose a person to relate this publication to

Yonas Yohannes Shikur

Katharina Gaus

Yona Nebel-Jacobsen

Michael Gaus

Norbert Gaus

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gaus, Yona Falinie A."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery.

Please choose a person to relate this publication to

Yonas Yohannes Shikur

Katharina Gaus

Yona Nebel-Jacobsen

Michael Gaus

Norbert Gaus

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery.