Yona Falinie A. Gaus

33 papers A* 2B 6C 4Journal 13Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Dur360BEV: A Real-World 360-Degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. ICRA Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon
2025	J	`jnl`	Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. CoRR Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon
2025	—	`conf`	Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery. CVPR Workshops Yona Falinie A. Gaus, Brian K. S. Isaac-Medina, Neelanjan Bhowmik, Yam T. Lee, Toby P. Breckon
2024	—	`conf`	Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CVPR Workshops Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon
2024	J	`jnl`	Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CoRR Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon
2024	—	`conf`	Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis. ECCV (71) Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon
2024	J	`jnl`	Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis. CoRR Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon
2023	—	`conf`	Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. CVPR Workshops Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon
2023	—	`conf`	Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. VISIGRAPP (5: VISAPP) Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2023	J	`jnl`	Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. CoRR Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2023	A*	`conf`	Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. ICCV Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
2023	J	`jnl`	Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. CoRR Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks
2022	—	`conf`	Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. CVPR Workshops Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon
2022	J	`jnl`	Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. CoRR Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon
2021	C	`conf`	Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention. ICMLA Joyal Raju, Yona Falinie A. Gaus, Toby P. Breckon
2021	B	`conf`	On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks. ICIP Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2021	J	`jnl`	On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks. CoRR Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2021	C	`conf`	Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. ICMLA Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2021	J	`jnl`	Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. CoRR Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
2019	C	`conf`	Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. ICMLA Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon
2019	J	`jnl`	Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. CoRR Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon
2019	B	`conf`	Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. IJCNN Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon
2019	J	`jnl`	Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. CoRR Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon
2019	C	`conf`	On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. ICMLA Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akçay, Jack W. Barker, Toby P. Breckon
2019	J	`jnl`	On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery. CoRR Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay, Jack W. Barker, Toby P. Breckon
2019	J	`jnl`	The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. CoRR Neelanjan Bhowmik, Qian Wang, Yona Falinie A. Gaus, Marcin Szarek, Toby P. Breckon
2018	B	`conf`	Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction. FG Yi Liu, Hongying Meng, Mohammad Rafiq Swash, Yona Falinie A. Gaus, Rui Qin
2018	B	`conf`	Linear and Non-Linear Multimodal Fusion for Continuous Affect Estimation In-the-Wild. FG Yona Falinie A. Gaus, Hongying Meng
2017	—	`conf`	Decoupling Temporal Dynamics for Naturalistic Affect Recognition in a Two-Stage Regression Framework. CYBCONF Yona Falinie A. Gaus, Hongying Meng, Asim Jan
2017	J	`jnl`	Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction. CoRR Yi Liu, Hongying Meng, Mohammad Rafiq Swash, Yona Falinie A. Gaus, Rui Qin
2015	B	`conf`	Automatic affective dimension recognition from naturalistic facial expressions based on wavelet filtering and PLS regression. FG Yona Falinie A. Gaus, Hongying Meng, Asim Jan, Fan Zhang, Saeed Turabzadeh
2015	B	`conf`	Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets. ICMI Yona Falinie A. Gaus, Temitayo A. Olugbade, Asim Jan, Rui Qin, Jingxin Liu, Fan Zhang, Hongying Meng, Nadia Bianchi-Berthouze
2014	—	`conf`	Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression. AVEC@MM Asim Jan, Hongying Meng, Yona Falinie A. Gaus, Fan Zhang, Saeed Turabzadeh