Neelanjan Bhowmik

发表

Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery

Jack W. Barker, T. Breckon, Neelanjan Bhowmik, 2022, 2205.08002.

Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery

T. Breckon, Neelanjan Bhowmik, 2022, ArXiv.

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Simon X. Yang, Alexandre Alahi, Jenq-Neng Hwang, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).

Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection

Toby P. Breckon, Neelanjan Bhowmik, A. GaneshSamarthC., 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Fire Superpixel Image Data Set for Samarth 2019 study - PNG still image set

Toby P. Breckon, Neelanjan Bhowmik, Ganesh Samarth, 2019 .

Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery

Chris G. Willcocks, Brian K. S. Isaac-Medina, T. Breckon, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks pdf

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

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

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery pdf

Qian Wang, Toby P. Breckon, Neelanjan Bhowmik, 2020, 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA).

On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery

Toby P. Breckon, Qian Wang, Neelanjan Bhowmik, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery

Toby P. Breckon, Samet Akcay, Yona Falinie A. Gaus, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery

Toby P. Breckon, Samet Akcay, Yona Falinie A. Gaus, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Using Deep Neural Networks to Address the Evolving Challenges of Concealed Threat Detection within Complex Electronic Items

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2019, 2019 IEEE International Symposium on Technologies for Homeland Security (HST).

The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery pdf

Toby P. Breckon, Qian Wang, Yona Falinie A. Gaus, 2019, ArXiv.

Threat Object-based anomaly detection in X-ray images using GAN-based ensembles

Dhiraj, Neelanjan Bhowmik, Shreyas Kolte, 2022, Neural computing & applications.

Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption

Jack W. Barker, Yona Falinie A. Gaus, T. Breckon, 2023, VISIGRAPP.

Cross-domain image localization by adaptive feature fusion

Li Weng, Bahman Soheilian, Valérie Gouet-Brunet, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Efficient fusion of multidimensional descriptors for image retrieval

Hélio Pedrini, Valérie Gouet-Brunet, Neelanjan Bhowmik, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening

Brian K. S. Isaac-Medina, T. Breckon, Neelanjan Bhowmik, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Detecting Anomalies using Generative Adversarial Networks on Images

Dhiraj Sangwan, K. Tiwari, Neelanjan Bhowmik, 2022, ArXiv.

Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery

Toby P. Breckon, Yona Falinie A. Gaus, Neelanjan Bhowmik, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers

Hubert P. H. Shum, Chris G. Willcocks, T. Breckon, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).