Efficient fusion of multidimensional descriptors for image retrieval. - Neelanjan Bhowmik; V. Ricardo Gonzalez; Valérie Gouet-Brunet; Hélio Pedrini; Gabriel Bloch (ICIP, 2014)

Cross-domain image localization by adaptive feature fusion. - Neelanjan Bhowmik; Li Weng; Valérie Gouet-Brunet; Bahman Soheilian (JURSE, 2017)

Adaptive and Optimal Combination of Local Features for Image Retrieval. - Neelanjan Bhowmik; Valérie Gouet-Brunet; Lijun Wei; Gabriel Bloch (MMM (2), 2017)

Combination of image descriptors for the exploration of cultural photographic collections. - Neelanjan Bhowmik; Valérie Gouet-Brunet; Gabriel Bloch; Sylvain Besson (J. Electronic Imaging, 2017)

Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection. - Ganesh Samarth C. A.; Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2019)

On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. - Neelanjan Bhowmik; Yona Falinie A. Gaus; Samet Akçay; Jack W. Barker; Toby P. Breckon (ICMLA, 2019)

Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Samet Akcay; Toby P. Breckon (ICMLA, 2019)

Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Samet Akçay; Paolo M. Guillén-Garcia; Jack W. Barker; Toby P. Breckon (IJCNN, 2019)

The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. - Neelanjan Bhowmik; Qian Wang 017; Yona Falinie A. Gaus; Marcin Szarek; Toby P. Breckon (CoRR, 2019)

Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. - William Thomson; Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2020)

Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Qian Wang 017; Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2020)

On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Qian Wang 017; Neelanjan Bhowmik; Toby P. Breckon (IJCNN, 2020)

On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks. - Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (ICIP, 2021)

Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. - Thomas W. Webb; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (ICMLA, 2021)

Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. - Neelanjan Bhowmik; Jack W. Barker; Yona Falinie A. Gaus; Toby P. Breckon (CVPR Workshops, 2022)

Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. - Brian K. S. Isaac-Medina; Neelanjan Bhowmik; Chris G. Willcocks; Toby P. Breckon (CVPR Workshops, 2022)

Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. - Neelanjan Bhowmik; Toby P. Breckon (ICMLA, 2022)

Semi-supervised Surface Anomaly Detection of Composite Wind Turbine Blades from Drone Imagery. - Jack W. Barker; Neelanjan Bhowmik; Toby P. Breckon (VISIGRAPP (4: VISAPP), 2022)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 2022)

Detecting Anomalies using Generative Adversarial Networks on Images. - Rushikesh Zawar; Krupa Bhayani; Neelanjan Bhowmik; Kamlesh Tiwari; Dhiraj Sangwan (CoRR, 2022)

Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Brian K. S. Isaac-Medina; Hubert P. H. Shum; Amir Atapour-Abarghouei; Toby P. Breckon (CVPR Workshops, 2023)

Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening. - Brian K. S. Isaac-Medina; Seyma Yucer; Neelanjan Bhowmik; Toby P. Breckon (CVPR Workshops, 2023)

Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. - Abril Corona-Figueroa; Sam Bond-Taylor; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon; Hubert P. H. Shum; Chris G. Willcocks (ICCV, 2023)

Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. - Jack W. Barker; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (VISIGRAPP (5: VISAPP), 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

Threat Object-based anomaly detection in X-ray images using GAN-based ensembles. - Shreyas Kolte; Neelanjan Bhowmik; Dhiraj (Neural Comput. Appl., 2023)

Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Brian K. S. Isaac-Medina; Toby P. Breckon (CVPR Workshops, 2024)

Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis. - Brian K. S. Isaac-Medina; Yona Falinie A. Gaus; Neelanjan Bhowmik; Toby P. Breckon (ECCV (71), 2024)

Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery. - Yona Falinie A. Gaus; Brian K. S. Isaac-Medina; Neelanjan Bhowmik; Yam T. Lee; Toby P. Breckon (CVPR Workshops, 2025)

SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for AI-Generated Image Detection. - Shrikant Malviya; Neelanjan Bhowmik; Stamos Katsigiannis (CoRR, 2025)