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Yona Falinie Binti A. Gaus
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2020 – today
- 2025
- [i14]Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon:
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. CoRR abs/2503.00675 (2025) - 2024
- [c21]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. CVPR Workshops 2024: 3142-3152 - [c20]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. ECCV (71) 2024: 196-214 - [i13]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 abs/2404.12285 (2024) - [i12]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 abs/2407.15763 (2024) - [i11]Brian K. S. Isaac-Medina, Mauricio Che, Yona Falinie Binti A. Gaus, Samet Akcay, Toby P. Breckon:
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection. CoRR abs/2412.01596 (2024) - 2023
- [c19]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: 2995-3005 - [c18]Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. ICCV 2023: 14539-14548 - [c17]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: 615-625 - [i10]Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. CoRR abs/2303.03925 (2023) - [i9]Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. CoRR abs/2308.14152 (2023) - 2022
- [c16]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: 368-377 - [i8]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 abs/2205.08002 (2022) - 2021
- [c15]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: 1224-1228 - [c14]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: 610-615 - [c13]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: 688-693 - [i7]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 abs/2108.12505 (2021) - [i6]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 abs/2110.04906 (2021)
2010 – 2019
- 2019
- [c12]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: 420-425 - [c11]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: 986-991 - [c10]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: 1-8 - [i5]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 abs/1904.05304 (2019) - [i4]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 abs/1909.11508 (2019) - [i3]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 abs/1911.08216 (2019) - [i2]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 abs/1911.08966 (2019) - 2018
- [b1]Yona Falinie Abdul Gaus:
Artificial intelligence system for continuous affect estimation from naturalistic human expressions. Brunel University London, Uxbridge, UK, 2018 - [j1]Asim Jan
Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions. IEEE Trans. Cogn. Dev. Syst. 10(3): 668-680 (2018) - [c9]Yona Falinie A. Gaus, Hongying Meng
Linear and Non-Linear Multimodal Fusion for Continuous Affect Estimation In-the-Wild. FG 2018: 492-498 - [c8]Yi Liu, Hongying Meng
Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction. FG 2018: 802-807 - 2017
- [c7]Yona Falinie A. Gaus, Hongying Meng
Decoupling Temporal Dynamics for Naturalistic Affect Recognition in a Two-Stage Regression Framework. CYBCONF 2017: 1-6 - [i1]Yi Liu, Hongying Meng, Mohammad Rafiq Swash, Yona Falinie A. Gaus, Rui Qin:
Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction. CoRR abs/1712.05570 (2017) - 2016
- [c6]Asim Jan, Yona Falinie Binti A. Gaus, Hongying Meng, Fan Zhang:
BUL in MediaEval 2016 Emotional Impact of Movies Task. MediaEval 2016 - 2015
- [c5]Yona Falinie A. Gaus, Hongying Meng
Automatic affective dimension recognition from naturalistic facial expressions based on wavelet filtering and PLS regression. FG 2015: 1-6 - [c4]Yona Falinie A. Gaus, Temitayo A. Olugbade, Asim Jan, Rui Qin, Jingxin Liu, Fan Zhang, Hongying Meng
Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets. ICMI 2015: 399-406 - 2014
- [c3]Asim Jan, Hongying Meng
Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression. AVEC@MM 2014: 73-80 - 2013
- [c2]Yona Falinie Abdul Gaus, Farrah Wong, Kenneth Tze Kin Teo
Comparison study of Hidden Markov Model gesture recognition using fixed state and variable state. ICSIPA 2013: 150-155 - 2012
- [c1]Farrah Wong, G. Sainarayanan, Wan Mahani Abdullah, Ali Chekima, Faysal Ezwen Jupirin, Yona Falinie Abdul Gaus:
Software-Based Malaysian Sign Language Recognition. ISI 2012: 297-306
Coauthor Index
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