Software-Based Malaysian Sign Language Recognition. - Farrah Wong; G. Sainarayanan; Wan Mahani Abdullah; Ali Chekima; Faysal Ezwen Jupirin; Yona Falinie Abdul Gaus (ISI, 2012)

Comparison study of Hidden Markov Model gesture recognition using fixed state and variable state. - Yona Falinie Abdul Gaus; Farrah Wong; Kenneth Tze Kin Teo; Renee Ka Yin Chin; Rosalyn R. Porle; Lim Pei Yi; Ali Chekima (ICSIPA, 2013)

Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression. - Asim Jan; Hongying Meng; Yona Falinie A. Gaus; Fan Zhang 101; Saeed Turabzadeh (AVEC@MM, 2014)

Automatic affective dimension recognition from naturalistic facial expressions based on wavelet filtering and PLS regression. - Yona Falinie A. Gaus; Hongying Meng; Asim Jan; Fan Zhang 101; Saeed Turabzadeh (FG, 2015)

Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets. - Yona Falinie A. Gaus; Temitayo A. Olugbade; Asim Jan; Rui Qin; Jingxin Liu; Fan Zhang 101; Hongying Meng; Nadia Bianchi-Berthouze (ICMI, 2015)

BUL in MediaEval 2016 Emotional Impact of Movies Task. - Asim Jan; Yona Falinie Binti A. Gaus; Hongying Meng; Fan Zhang 101 (MediaEval, 2016)

Decoupling Temporal Dynamics for Naturalistic Affect Recognition in a Two-Stage Regression Framework. - Yona Falinie A. Gaus; Hongying Meng; Asim Jan (CYBCONF, 2017)

Linear and Non-Linear Multimodal Fusion for Continuous Affect Estimation In-the-Wild. - Yona Falinie A. Gaus; Hongying Meng (FG, 2018)

Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction. - Yi Liu 061; Hongying Meng; Mohammad Rafiq Swash; Yona Falinie A. Gaus; Rui Qin (FG, 2018)

Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions. - Asim Jan; Hongying Meng; Yona Falinie Binti A. Gaus; Fan Zhang 101 (IEEE Trans. Cogn. Dev. Syst., 2018)

Artificial intelligence system for continuous affect estimation from naturalistic human expressions. - Yona Falinie Abdul Gaus (2018)

On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. - Neelanjan Bhowmik; Yona Falinie A. Gaus; Samet Akçay; Jack W. Barker; Toby P. Breckon (ICMLA, 2019)

Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Samet Akcay; Toby P. Breckon (ICMLA, 2019)

Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Samet Akçay; Paolo M. Guillén-Garcia; Jack W. Barker; Toby P. Breckon (IJCNN, 2019)

The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery. - Neelanjan Bhowmik; Qian Wang 017; Yona Falinie A. Gaus; Marcin Szarek; Toby P. Breckon (CoRR, 2019)

On the Impact of Using X-Ray Energy Response Imagery for Object Detection Via Convolutional Neural Networks. - Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (ICIP, 2021)

Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention. - Joyal Raju; Yona Falinie A. Gaus; Toby P. Breckon (ICMLA, 2021)

Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery. - Thomas W. Webb; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (ICMLA, 2021)

Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. - Neelanjan Bhowmik; Jack W. Barker; Yona Falinie A. Gaus; Toby P. Breckon (CVPR Workshops, 2022)

Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Brian K. S. Isaac-Medina; Hubert P. H. Shum; Amir Atapour-Abarghouei; Toby P. Breckon (CVPR Workshops, 2023)

Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. - Abril Corona-Figueroa; Sam Bond-Taylor; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon; Hubert P. H. Shum; Chris G. Willcocks (ICCV, 2023)

Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. - Jack W. Barker; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon (VISIGRAPP (5: VISAPP), 2023)

Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Brian K. S. Isaac-Medina; Toby P. Breckon (CVPR Workshops, 2024)

Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis. - Brian K. S. Isaac-Medina; Yona Falinie A. Gaus; Neelanjan Bhowmik; Toby P. Breckon (ECCV (71), 2024)

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection. - Brian K. S. Isaac-Medina; Mauricio Che; Yona Falinie Binti A. Gaus; Samet Akcay; Toby P. Breckon (CoRR, 2024)

Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery. - Yona Falinie A. Gaus; Brian K. S. Isaac-Medina; Neelanjan Bhowmik; Yam T. Lee; Toby P. Breckon (CVPR Workshops, 2025)

Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving. - Wenke E; Chao Yuan; Li Li 092; Yixin Sun; Yona Falinie A. Gaus; Amir Atapour-Abarghouei; Toby P. Breckon (CoRR, 2025)