Hello World! Neel I am, a Computer Vision /
Machine Learning researcher with several years of specialised experience.
Coming from an academic and research background with a PhD in Image Processing / Computer Vision,
I have collaborated with industrial partners and government entities to translate complex
research into practical applications.
Automating threat detection in 2D/3D imagery to enhance international aviation and
transportation security standards.
• Impact: influencing international Automated Prohibited Item
Detection Systems in aviation security regulations, leading to the European Civil
Aviation Conference for the integration of automated threat detection in X-ray
scanners.
• Tech: Frameworks for prohibited item and anomaly detection in
complex X-ray
imagery.
• Scope: Technology Readiness Level (5/6) delivered from novel
algorithm research to CI/CD
pipelines.
Real-Time /
Edge AI
Fire Detection
Optimised, compact CNN architectures (NasNet-A/ShuffleNetV2) for ultra-fast fire detection
on low-power edge devices.
• Performance: 95% accuracy with 2.3x speed increase over previous
SOTA.
• Edge Ready: Achieved 49 fps on Nvidia Xavier-NX hardware.
• Localisation: Identifies fire regions at 18 fps with 97% accuracy.
• Author of 30+ peer-reviewed articles in top-tier international conferences/journals.
• Reviewer for leading computer vision conferences/journals, including (not limited to) CVPR, ICCV, ECCV,
BMVC, and WACV.
Gaus, Y.F.A., Isaac-Medina, B.K.S., Bhowmik,
N., Lam, Y.T. and
Breckon, T.P. "Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm
Component Detection in
X-ray Security Imagery." Proc. Computer Vision Pattern Recognition
Workshops,
pp. 4004-4014, 2025.
@inproceedings{gaus25anomaly,
author = {Gaus, Y.F.A. and Isaac-Medina, B.K.S. and \textbf{Bhowmik, N.} and Lam, Y.T.
and Breckon, T.P.},
title = {Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component
Detection in X-ray
Security Imagery},
booktitle = {Proc. Computer Vision Pattern Recognition Workshops},
pages = {4004-4014},
year = {2025},
month = {June},
publisher = {IEEE/CVF},
keywords = {firearm detection, prohibited item detection, APIDS, anomaly,
out-of-distribution, OOD, OWOD,
open-world object detection},
url = {https://breckon.org/toby/publications/papers/gaus25anomaly.pdf},
doi = {10.1109/CVPRW67362.2025.00385},
category = {baggage, anomaly},
}
Malviya, Shrikant, Bhowmik, Neelanjan and
Katsigiannis, Stamos
"SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for AI-Generated
Image Detection." arXiv preprint arXiv:2503.18812, 2025.
@article{malviya2025skdu,
title={SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for
AI-Generated Image Detection},
author={Malviya, Shrikant and \textbf{Bhowmik, Neelanjan} and Katsigiannis, Stamos},
journal={arXiv preprint arXiv:2503.18812},
year={2025}
}
Isaac-Medina, B.K.S., Gaus, Y.F.A., Bhowmik,
N. and Breckon, T.P.
"Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier
Synthesis." Proc. European Conference on Computer Vision,
2024.
@inproceedings{isaac24ssos,
author = {Isaac-Medina, B.K.S. and Gaus, Y.F.A. and \textbf{Bhowmik, N.} and Breckon,
T.P.},
title = {Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier
Synthesis},
booktitle = {Proc. European Conference on Computer Vision },
year = {2024},
month = {September},
publisher = {Springer},
keywords = {x-ray, thermal, anomaly detection, open world object detection, open-set
anomaly detection,
object-wise anomaly detection},
note = {to appear},
category = {anomaly baggage automotive},
}
Gaus, Y.F.A., Bhowmik, N., Isaac-Medina,
B.K.S. and Breckon, T.P.
"Performance Evaluation of Segment Anything Model with Variational Prompting for
Application to Non-Visible
Spectrum Imagery." Proc. Computer Vision and Pattern Recognition
Workshops,
2024.
@inproceedings{gaus24segment,
author = {Gaus, Y.F.A. and \textbf{Bhowmik, N.} and Isaac-Medina, B.K.S. and Breckon,
T.P.},
title = {Performance Evaluation of Segment Anything Model with Variational Prompting for
Application to
Non-Visible Spectrum Imagery},
booktitle = {Proc. Computer Vision and Pattern Recognition Workshops},
year = {2024},
month = {JUne},
publisher = {IEEE},
keywords = {x-ray, thermal, infrared, foundational model, SAM, segmentation, semantic
segmentation, instance
segmantation},
note = {to appear},
category = {baggage},
}
Kiefer, Benjamin, Kristan, Matej, Perš, Janez, Žust, Lojze, Poiesi, Fabio, Bhowmik, N. and others "1st Workshop on Maritime
Computer Vision
(MaCVi) 2023: Challenge Results." Proceedings of the IEEE/CVF
Winter Conference on
Applications of Computer Vision (WACV) Workshops, pp. 265-302, 2023.
@InProceedings{kiefer20231st,
author = {Kiefer, Benjamin and Kristan, Matej and Per\v{s}, Janez and \v{Z}ust, Lojze
and Poiesi, Fabio and
\textbf{Bhowmik, N.} and others},
title = {1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer
Vision (WACV)
Workshops},
month = {January},
year = {2023},
pages = {265-302}
}
Barker, J.W., Bhowmik, N., Gaus, Y.F.A. and
Breckon, T.P. "Robust
Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise
Corruption." Proc. Int. Conf. on Computer Vision Theory and
Applications, 2023.
@inproceedings{barker23anomaly,
author = {Barker, J.W. and \textbf{Bhowmik, N.} and Gaus, Y.F.A. and Breckon, T.P.},
title = {Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous
Noise Corruption},
booktitle = {Proc. Int. Conf. on Computer Vision Theory and Applications},
year = {2023},
month = {February},
publisher = {Scitepress},
keywords = {anomaly detection, semi-supervised, deep neural networks, deep learning,
defect detection},
note = {},
category = {filterprocess},
}
Gaus, Y.F.A., Bhowmik, N., Isaac-Medina,
B.K.S.,
Atapour-Abarghouei, A., Shum, H.P.H and Breckon, T.P. "Region-based Appearance and Flow
Characteristics for
Anomaly Detection in Infrared Surveillance Imagery." Proc. Conf.
Computer Vision and
Pattern Recognition Workshops, 2023.
@inproceedings{gaus23region,
author = {Gaus, Y.F.A. and \textbf{Bhowmik, N.} and Isaac-Medina, B.K.S. and
Atapour-Abarghouei, A. and
Shum, H.P.H and Breckon, T.P.},
title = {Region-based Appearance and Flow Characteristics for Anomaly Detection in
Infrared Surveillance
Imagery},
booktitle = {Proc. Conf. Computer Vision and Pattern Recognition Workshops},
year = {2023},
month = {June},
publisher = {IEEE},
keywords = {anomaly detection, optic flow, thermal imagery, visual surveillance, R-CNN,
convolutional neural
network, deep learning},
url = {},
note = {},
category = {surveillance anomaly},
}
Isaac-Medina, B.K.S., Yucer, S., Bhowmik, N.
and Breckon, T.P.
"Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection
Benchmark Datasets for X-ray
Security Screening." Proc. Conf. Computer Vision and Pattern
Recognition
Workshops, 2023.
@inproceedings{isaac23evaluation,
author = {Isaac-Medina, B.K.S. and Yucer, S. and \textbf{Bhowmik, N.} and Breckon,
T.P.},
title = {Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection
Benchmark Datasets
for X-ray Security Screening},
booktitle = {Proc. Conf. Computer Vision and Pattern Recognition Workshops},
year = {2023},
month = {June},
publisher = {IEEE},
keywords = {x-ray datasets, object detection, airport security, aviation security},
url = {},
note = {},
category = {baggage},
}
Corona-Figueroa, A., Bond-Taylor, S., Bhowmik,
N., Gaus, Y.F.A.,
Breckon, T.P., Shum, H.P.H. and Willcocks, C.G. "Unaligned 2D to 3D Translation with
Conditional
Vector-Quantized Code Diffusion using Transformers." Proc. Int.
Conf. Computer
Vision, 2023.
@inproceedings{corona23vqcdt,
author = {Corona-Figueroa, A. and Bond-Taylor, S. and \textbf{Bhowmik, N.} and Gaus,
Y.F.A. and Breckon,
T.P. and Shum, H.P.H. and Willcocks, C.G.},
title = {Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion
using
Transformers},
booktitle = {Proc. Int. Conf. Computer Vision},
year = {2023},
month = {December},
publisher = {IEEE},
keywords = {},
note = {},
category = {baggage 3Dvision medical},
}
Kolte, Shreyas, Bhowmik, N. and others "Threat
Object-based
anomaly detection in X-ray images using GAN-based ensembles." Neural Computing and
Applications, pp. 1-16, 2022.
@article{kolte2022threat,
title={Threat Object-based anomaly detection in X-ray images using GAN-based ensembles},
author={Kolte, Shreyas and \textbf{Bhowmik, N.} and others},
journal={Neural Computing and Applications},
pages={1--16},
year={2022},
publisher={Springer}
}
Bhowmik, N. and Breckon, T.P. "Joint
Sub-component Level
Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security
Imagery." Proc. Int. Conf. on Machine Learning Applications,
2022.
@inproceedings{bhowmik22subcomponent,
author = {\textbf{Bhowmik, N.} and Breckon, T.P.},
title = {Joint Sub-component Level Segmentation and Classification for Anomaly Detection
within Dual-Energy
X-Ray Security Imagery},
booktitle = {Proc. Int. Conf. on Machine Learning Applications},
year = {2022},
month = {December},
publisher = {IEEE},
keywords = {super-pixels, anomaly detection, airport security, aviation security},
arxiv = {},
category = {baggage}
}
Bhowmik, N., Barker, J.W., Gaus, Y.F.A. and
Breckon, T.P. "Lost in
Compression: the Impact of Lossy Image Compression on Variable Size Object Detection
within Infrared
Imagery." Proc. Computer Vision and Pattern Recognition
Workshops, pp. 368-377,
2022.
@inproceedings{bhowmik22compression,
author = {\textbf{Bhowmik, N.} and Barker, J.W. and Gaus, Y.F.A. and Breckon, T.P.},
title = {Lost in Compression: the Impact of Lossy Image Compression on Variable Size
Object Detection within
Infrared Imagery},
booktitle = {Proc. Computer Vision and Pattern Recognition Workshops},
pages = {368-377},
year = {2022},
month = {June},
publisher = {IEEE},
keywords = {object detection, thermal, infrared, lossy image compression, compression
artefacts},
doi = {},
arxiv = {},
category = {surveillance},
}
Isaac-Medina, B.K.S., Bhowmik, N., Willcocks,
C.G. and Breckon,
T.P. "Cross-modal Image Synthesis in Dual-Energy X-Ray Security Imagery." Proc.
Computer Vision and Pattern Recognition Workshops, pp. 332-340, 2022.
@inproceedings{isaac22synthesis,
author = {Isaac-Medina, B.K.S. and \textbf{Bhowmik, N.} and Willcocks, C.G. and Breckon,
T.P.},
title = {Cross-modal Image Synthesis in Dual-Energy X-Ray Security Imagery},
booktitle = {Proc. Computer Vision and Pattern Recognition Workshops},
pages = {332-340},
year = {2022},
month = {June},
publisher = {IEEE},
keywords = {dual-enery X-ray, GAN, generative adversarial network, airport security,
aviation security,
materials detection},
doi = {},
category = {baggage},
}
Barker, J.W., Bhowmik, N. and Breckon, T.P.
"Semi-Supervised
Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery." Proc.
Int. Conf. on Computer Vision Theory and Applications, pp. 868-876, 2022.
@inproceedings{barker22turbine,
author = {Barker, J.W. and \textbf{Bhowmik, N.} and Breckon, T.P.},
title = {Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From
Drone Imagery},
booktitle = {Proc. Int. Conf. on Computer Vision Theory and Applications},
pages = {868-876},
year = {2022},
month = {February},
publisher = {IEEE},
keywords = {anomaly detection, transformers, semi-supervised, deep neural networks, deep
learning, wind
turbine, blade inspection, defect detection},
doi = {},
arxiv = {},
category = {imageclass drone},
}
Webb, T.W., Bhowmik, N., Gaus, Y.F.A. and
Breckon, T.P.
"Operationalizing Convolutional Neural Network Architectures for Prohibited Object
Detection in X-Ray
Imagery." Proc. Int. Conf. on Machine Learning Applications,
pp. 610-615, 2021.
@inproceedings{web21xray,
author = {Webb, T.W. and \textbf{Bhowmik, N.} and Gaus, Y.F.A. and Breckon, T.P.},
title = {Operationalizing Convolutional Neural Network Architectures for Prohibited
Object Detection in
X-Ray Imagery},
booktitle = {Proc. Int. Conf. on Machine Learning Applications},
pages = {610-615},
year = {2021},
month = {December},
publisher = {IEEE},
keywords = {x-ray security screening, automatic threat detection, prohibited item
detection, airport
security, deep learning},
doi = {},
arxiv = {},
category = {baggage},
}
Bhowmik, N., Gaus, Y.F.A. and Breckon, T.P.
"On the Impact of
Using X-Ray Energy Response Imagery for Object Detection via Convolutional Neural
Networks." Proc. Int. Conf. on Image Processing, pp.
1224-1228, 2021.
@inproceedings{bhowmik21energy,
author = {\textbf{Bhowmik, N.} and Gaus, Y.F.A. and Breckon, T.P.},
title = {On the Impact of Using X-Ray Energy Response Imagery for Object Detection via
Convolutional Neural
Networks},
booktitle = {Proc. Int. Conf. on Image Processing},
pages = {1224-1228},
year = {2021},
month = {September},
publisher = {IEEE},
keywords = {X-ray, false colour, effective-z, object detection, luggage, baggage,
aviation security, airport
security, deep neural networks, deep learning},
doi = {},
arxiv = {},
category = {baggage},
}
Thompson, W., Bhowmik, N. and Breckon, T.P.
"Efficient and Compact
Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection."
Proc. Int. Conf. Machine Learning Applications, pp. 136-141,
2020.
@inproceedings{thompson20fire,
author = {Thompson, W. and \textbf{Bhowmik, N.} and Breckon, T.P.},
title = {Efficient and Compact Convolutional Neural Network Architectures for
Non-temporal Real-time Fire
Detection},
booktitle = {Proc. Int. Conf. Machine Learning Applications},
pages = {136-141},
year = {2020},
month = {December},
publisher = {IEEE},
keywords = {fire detection, CNN, deep-learning real-time, neural architecture search,
nas, automl,
non-temporal},
doi = {},
arxiv = {},
category = {imageclass},
}
Wang, Q., Bhowmik, N. and Breckon, T.P.
"Multi-Class 3D Object
Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery."
Proc. Int. Conf. Machine Learning Applications, pp. 13-18,
2020.
@inproceedings{wang20multiclass-ct3d,
author = {Wang, Q. and \textbf{Bhowmik, N.} and Breckon, T.P.},
title = {Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography
Baggage Security Screening
Imagery},
booktitle = {Proc. Int. Conf. Machine Learning Applications},
pages = {13-18},
year = {2020},
month = {December},
publisher = {IEEE},
keywords = {luggage security, 3D CNN, 3D object detection, volumetric object detection,
baggage threat
detection, prohibited item detection, ATR, airport security, transport security, CT
object recognition},
doi = {},
arxiv = {},
category = {baggage 3Dvision},
}
Gaus, Y.F.A., Bhowmik, N., Isaac-Medina,
B.K.S. and Breckon, T.P.
"Visible to Infrared Transfer Learning as a Paradigm for Accessible Real-time Object
Detection and
Classification in Infrared Imagery." Proc. Conf. Counterterrorism,
Crime Fighting,
Forensics, and Surveillance Technologies, pp. 13-27, 2020.
@inproceedings{gaus20transfer,
author = {Gaus, Y.F.A. and \textbf{Bhowmik, N.} and Isaac-Medina, B.K.S. and Breckon,
T.P.},
title = {Visible to Infrared Transfer Learning as a Paradigm for Accessible Real-time
Object Detection and
Classification in Infrared Imagery},
booktitle = {Proc. Conf. Counterterrorism, Crime Fighting, Forensics, and Surveillance
Technologies},
pages = {13-27},
year = {2020},
volume = {11542},
month = {September},
publisher = {SPIE},
keywords = {far infrared, transfer learning, thermal imaging, people detection, vehicle
detection},
doi = {},
category = {surveillance},
}
Wang, Q., Bhowmik, N. and Breckon, T.P. "On
the Evaluation of
Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography
Baggage Security Screening
Imagery." Proc. International Joint Conference on Neural
Networks, pp. 1-8,
2020.
@inproceedings{wang20ct3d,
author = {Wang, Q. and \textbf{Bhowmik, N.} and Breckon, T.P.},
title = {On the Evaluation of Prohibited Item Classification and Detection in Volumetric
3D Computed
Tomography Baggage Security Screening Imagery},
booktitle = {Proc. International Joint Conference on Neural Networks},
pages = {1-8},
year = {2020},
month = {July},
publisher = {IEEE},
keywords = {luggage security, 3D CNN, 3D object detection, volumetric object detection,
baggage threat
detection, prohibited item detection, ATR, airport security, transport security, CT
object recognition},
doi = {},
arxiv = {},
category = {baggage 3Dvision},
}
Samarth, G., Bhowmik, N. and Breckon, T.P.
"Experimental
Exploration of Compact Convolutional Neural Network Architectures for Non-temporal
Real-time Fire
Detection." Proc. Int. Conf. on Machine Learning
Applications, pp. 653-658,
2019.
@inproceedings{samarth19fire,
author = {Samarth, G. and \textbf{Bhowmik, N.} and Breckon, T.P.},
title = {Experimental Exploration of Compact Convolutional Neural Network Architectures
for Non-temporal
Real-time Fire Detection},
booktitle = {Proc. Int. Conf. on Machine Learning Applications},
pages = {653-658},
year = {2019},
month = {December},
publisher = {IEEE},
keywords = {fire detection, CNN, deep-learning real-time, non-temporal},
doi = {},
arxiv = {},
category = {imageclass},
}
Gaus, Y.F.A., Bhowmik, N., Akcay, S. and
Breckon, T.P. "Evaluating
the Transferability and Adversarial Discrimination of Convolutional Neural Networks for
Threat Object
Detection and Classification within X-Ray Security Imagery." Proc.
Int. Conf. on
Machine Learning Applications, pp. 420-425, 2019.
@inproceedings{gaus19transferability,
author = {Gaus, Y.F.A. and \textbf{Bhowmik, N.} and Akcay, S. and Breckon, T.P.},
title = {Evaluating the Transferability and Adversarial Discrimination of Convolutional
Neural Networks for
Threat Object Detection and Classification within X-Ray Security Imagery},
booktitle = {Proc. Int. Conf. on Machine Learning Applications},
pages = {420-425},
year = {2019},
month = {December},
publisher = {IEEE},
keywords = {x-ray security screening, automatic threat detection, firearms detection,
airport security, deep
learning, region-based convolutional neural networks, CNN, R-CNN, RetinaNet, baggage},
doi = {},
arxiv = {},
category = {baggage},
}
Bhowmik, N., Gaus, Y.F.A., Akcay, S., Barker,
J.W. and Breckon,
T.P. "On the Impact of Object and Sub-Component Level Segmentation Strategies for
Supervised Anomaly
Detection within X-Ray Security Imagery." Proc. Int. Conf. on
Machine Learning
Applications, pp. 986-991, 2019.
@inproceedings{bhowmik19subcomponent,
author = {\textbf{Bhowmik, N.} and Gaus, Y.F.A. and Akcay, S. and Barker, J.W. and
Breckon, T.P.},
title = {On the Impact of Object and Sub-Component Level Segmentation Strategies for
Supervised Anomaly
Detection within X-Ray Security Imagery},
booktitle = {Proc. Int. Conf. on Machine Learning Applications},
pages = {986-991},
year = {2019},
month = {December},
publisher = {IEEE},
keywords = {x-ray security screening, automatic threat detection, anomaly detection,
airport security, deep
learning, CNN, baggage},
doi = {},
arxiv = {},
category = {baggage},
}
Gaus, Y.F.A., Bhowmik, N. and Breckon, T.P.
"On the Use of Deep
Learning for the Detection of Firearms in X-ray Baggage Security Imagery." Proc.
International Symposium on Technologies for Homeland Security, pp. 1-7, 2019.
@inproceedings{gaus19firearms,
author = {Gaus, Y.F.A. and \textbf{Bhowmik, N.} and Breckon, T.P.},
title = {On the Use of Deep Learning for the Detection of Firearms in X-ray Baggage
Security Imagery},
booktitle = {Proc. International Symposium on Technologies for Homeland Security},
pages = {1-7},
year = {2019},
month = {November},
publisher = {IEEE},
keywords = {x-ray security screening, automatic threat detection, firearm detection,
airport security, deep
learning, CNN, convolutional neural networks, baggage},
doi = {},
category = {baggage},
}
Bhowmik, N., Gaus, Y.F.A. and Breckon, T.P.
"Using Deep Neural
Networks to Address the Evolving Challenges of Concealed Threat Detection within Complex
Electronic Items."
Proc. International Symposium on Technologies for Homeland
Security, pp. 1-6,
2019.
@inproceedings{bhowmik19electronics,
author = {\textbf{Bhowmik, N.} and Gaus, Y.F.A. and Breckon, T.P.},
title = {Using Deep Neural Networks to Address the Evolving Challenges of Concealed
Threat Detection within
Complex Electronic Items},
booktitle = {Proc. International Symposium on Technologies for Homeland Security},
pages = {1-6},
year = {2019},
month = {November},
publisher = {IEEE},
keywords = {x-ray security screening, automatic threat detection, airport security, deep
learning, CNN,
convolutional neural networks, baggage},
doi = {},
category = {baggage},
}
Bhowmik, N., Wang, Q., Gaus, Y.F.A., Szarek,
M. and Breckon, T.P.
"The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited
Item Detection
Using Real and Synthetically Composite X-ray Imagery." Proc.
British Machine Vision
Conference Workshops, pp. 1-8, 2019.
@inproceedings{bhowmik19synthetic,
author = {\textbf{Bhowmik, N.} and Wang, Q. and Gaus, Y.F.A. and Szarek, M. and Breckon,
T.P.},
title = {The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for
Prohibited Item
Detection Using Real and Synthetically Composite X-ray Imagery},
booktitle = {Proc. British Machine Vision Conference Workshops},
pages = {1-8},
year = {2019},
month = {September},
publisher = {BMVA},
keywords = {x-ray security screening, automatic threat detection, firearms detection,
airport security, deep
learning, region-based convolutional neural networks, CNN, R-CNN, RetinaNet, baggage},
arxiv = {},
category = {baggage},
}
Gaus, Y.F.A., Bhowmik, N., Akcay, A.,
Guillen-Garcia, P.M.,
Barker, J.W and Breckon, T.P. "Evaluating a Dual Convolutional Neural Network
Architecture for Object-wise
Anomaly Detection in Cluttered X-ray Security Imagery." Proc. Int.
Joint Conference on
Neural Networks, pp. 1-8, 2019.
@inproceedings{gaus19anomaly,
author = {Gaus, Y.F.A. and \textbf{Bhowmik, N.} and Akcay, A. and Guillen-Garcia, P.M.
and Barker, J.W and
Breckon, T.P.},
title = {Evaluating a Dual Convolutional Neural Network Architecture for Object-wise
Anomaly Detection in
Cluttered X-ray Security Imagery},
booktitle = {Proc. Int. Joint Conference on Neural Networks},
pages = {1-8},
year = {2019},
month = {July},
publisher = {IEEE},
keywords = {anomaly detection, mask R-CNN, baggage security, x-ray security screening,
automatic threat
detection, airport security, deep learning, region-based convolutional neural networks,
CNN, R-CNN, mask
R-CNN},
doi = {},
category = {baggage},
}
Bhowmik, N., Gouet-Brunet, Valérie, Wei, Lijun
and Bloch, Gabriel
"Adaptive and optimal combination of local features for image retrieval." Proc. Int.
Conf. on Multimedia Modeling, pp. 76-88, 2017.
@inproceedings{bhowmik2017adaptive,
title={Adaptive and optimal combination of local features for image retrieval},
author={\textbf{Bhowmik, N.} and Gouet-Brunet, Val{\'e}rie and Wei, Lijun and Bloch,
Gabriel},
booktitle={Proc. Int. Conf. on Multimedia Modeling},
pages={76--88},
year={2017},
organization={Springer}
}
Bhowmik, N., Weng, Li, Gouet-Brunet, Valérie
and Soheilian, Bahman
"Cross-domain image localization by adaptive feature fusion." Proc.
Joint Urban Remote
Sensing Event, pp. 1-4, 2017.
@inproceedings{bhowmik2017cross,
title={Cross-domain image localization by adaptive feature fusion},
author={\textbf{Bhowmik, N.} and Weng, Li and Gouet-Brunet, Val{\'e}rie and Soheilian,
Bahman},
booktitle={Proc. Joint Urban Remote Sensing Event},
pages={1--4},
year={2017},
organization={IEEE}
}
Bhowmik, N., Gouet-Brunet, Valérie, Bloch,
Gabriel and Besson,
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collections." Journal of Electronic Imaging, 26(1), pp.
011019, 2016.
@article{bhowmik2016combination,
title={Combination of image descriptors for the exploration of cultural photographic
collections},
author={\textbf{Bhowmik, N.} and Gouet-Brunet, Val{\'e}rie and Bloch, Gabriel and
Besson, Sylvain},
journal={Journal of Electronic Imaging},
volume={26},
number={1},
pages={011019},
year={2016},
publisher={International Society for Optics and Photonics}
}
Bhowmik, N., González, V Ricardo,
Gouet-Brunet, Valérie, Pedrini,
Hélio and Bloch, Gabriel "Efficient fusion of multidimensional descriptors for image
retrieval." Proc. Int. Conf. on Image Processing, pp.
5766-5770, 2014.
@inproceedings{bhowmik2014efficient,
title={Efficient fusion of multidimensional descriptors for image retrieval},
author={\textbf{Bhowmik, N.} and Gonz{\'a}lez, V Ricardo and Gouet-Brunet, Val{\'e}rie
and Pedrini,
H{\'e}lio and Bloch, Gabriel},
booktitle={Proc. Int. Conf. on Image Processing},
pages={5766--5770},
year={2014},
organization={IEEE}
}
