Yona Falinie A. Gaus

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Electron Microscopy

Digital X Ray Images

Top Venues

Publications

Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CoRR (2024)
Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis. CoRR (2024)
Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. ICCV (2023)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. CVPR Workshops (2023)
Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. VISIGRAPP (5: VISAPP) (2023)
Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. CoRR (2023)
Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. CoRR (2022)
Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. CVPR Workshops (2022)
Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks. ICIP (2021)
Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks. CoRR (2021)
Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. CoRR (2021)
Joyal Raju, Yona Falinie A. Gaus, Toby P. Breckon
Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention. ICMLA (2021)
Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. ICMLA (2021)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. CoRR (2019)
Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akçay, Jack W. Barker, Toby P. Breckon
On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. ICMLA (2019)
Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay, Jack W. Barker, Toby P. Breckon
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery. CoRR (2019)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. IJCNN (2019)
Neelanjan Bhowmik, Qian Wang, Yona Falinie A. Gaus, Marcin Szarek, Toby P. Breckon
The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. CoRR (2019)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. CoRR (2019)
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. ICMLA (2019)
Yona Falinie A. Gaus, Hongying Meng
Linear and Non-Linear Multimodal Fusion for Continuous Affect Estimation In-the-Wild. FG (2018)
Yi Liu, Hongying Meng, Mohammad Rafiq Swash, Yona Falinie A. Gaus, Rui Qin
Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction. FG (2018)
Yi Liu, Hongying Meng, Mohammad Rafiq Swash, Yona Falinie A. Gaus, Rui Qin
Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction. CoRR (2017)
Yona Falinie A. Gaus, Hongying Meng, Asim Jan
Decoupling Temporal Dynamics for Naturalistic Affect Recognition in a Two-Stage Regression Framework. CYBCONF (2017)
Yona Falinie A. Gaus, Hongying Meng, Asim Jan, Fan Zhang, Saeed Turabzadeh
Automatic affective dimension recognition from naturalistic facial expressions based on wavelet filtering and PLS regression. FG (2015)
Yona Falinie A. Gaus, Temitayo A. Olugbade, Asim Jan, Rui Qin, Jingxin Liu, Fan Zhang, Hongying Meng, Nadia Bianchi-Berthouze
Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets. ICMI (2015)
Asim Jan, Hongying Meng, Yona Falinie A. Gaus, Fan Zhang, Saeed Turabzadeh
Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression. AVEC@MM (2014)