Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction. - Dimitris Kollias; George Marandianos; Amaryllis Raouzaiou; Andreas-Georgios Stafylopatis (SMAP, 2015)

On line emotion detection using retrainable deep neural networks. - Dimitrios Kollias; Athanasios Tagaris; Andreas Stafylopatis (SSCI, 2016)

Recognition of Affect in the Wild Using Deep Neural Networks. - Dimitrios Kollias; Mihalis A. Nicolaou; Irene Kotsia; Guoying Zhao 001; Stefanos Zafeiriou (CVPR Workshops, 2017)

Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge. - Stefanos Zafeiriou; Dimitrios Kollias; Mihalis A. Nicolaou; Athanasios Papaioannou; Guoying Zhao 001; Irene Kotsia (CVPR Workshops, 2017)

Assessment of Parkinson's Disease Based on Deep Neural Networks. - Athanasios Tagaris; Dimitrios Kollias; Andreas Stafylopatis (EANN, 2017)

Adaptation and contextualization of deep neural network models. - Dimitrios Kollias; Miao Yu 001; Athanasios Tagaris; Georgios Leontidis; Andreas Stafylopatis; Stefanos D. Kollias (SSCI, 2017)

Photorealistic Facial Synthesis in the Dimensional Affect Space. - Dimitrios Kollias; Shiyang Cheng 001; Maja Pantic; Stefanos Zafeiriou (ECCV Workshops (2), 2018)

Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm. - Dimitrios Kollias; Stefanos Zafeiriou (IJCNN, 2018)

A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild. - Dimitrios Kollias; Stefanos Zafeiriou (CoRR, 2018)

Generating faces for affect analysis. - Dimitrios Kollias; Shiyang Cheng 001; Evangelos Ververas; Irene Kotsia; Stefanos Zafeiriou (CoRR, 2018)

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition. - Dimitrios Kollias; Stefanos Zafeiriou (CoRR, 2018)

A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions. - Dimitrios Kollias; Stefanos Zafeiriou (CoRR, 2018)

Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset. - Athanasios Tagaris; Dimitrios Kollias; Andreas Stafylopatis; Georgios L. Tagaris; Stefanos D. Kollias (Int. J. Artif. Intell. Tools, 2018)

Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace. - Dimitrios Kollias; Stefanos Zafeiriou (BMVC, 2019)

Aff-Wild Database and AffWildNet. - Mengyao Liu; Dimitrios Kollias (CoRR, 2019)

AffWild Net and Aff-Wild Database. - Alvertos Benroumpi; Dimitrios Kollias (CoRR, 2019)

Image Generation and Recognition (Emotions). - Hanne Carlsson; Dimitrios Kollias (CoRR, 2019)

Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild. - Xia Yicheng; Dimitrios Kollias (CoRR, 2019)

Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild. - Valentin Richer; Dimitrios Kollias (CoRR, 2019)

Emotion Generation and Recognition: A StarGAN Approach. - Aritra Banerjee; Dimitrios Kollias (CoRR, 2019)

Face Behavior à la carte: Expressions, Affect and Action Units in a Single Network. - Dimitrios Kollias; Viktoriia Sharmanska; Stefanos Zafeiriou (CoRR, 2019)

Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. - Dimitrios Kollias; Panagiotis Tzirakis; Mihalis A. Nicolaou; Athanasios Papaioannou; Guoying Zhao 001; Björn W. Schuller; Irene Kotsia; Stefanos Zafeiriou (Int. J. Comput. Vis., 2019)

VA-StarGAN: Continuous Affect Generation. - Dimitrios Kollias; Stefanos Zafeiriou (ACIVS, 2020)

Efficient Context-Aware Lossy Image Compression. - Jan Xu; Alex Lytchier; Ciro Cursio; Dimitrios Kollias; Chri Besenbruch; Arsalan Zafar (CVPR Workshops, 2020)

Analysing Affective Behavior in the First ABAW 2020 Competition. - Dimitrios Kollias; Attila Schulc; Elnar Hajiyev; Stefanos Zafeiriou (FG, 2020)

Transparent Adaptation in Deep Medical Image Diagnosis. - Dimitris Kollias; Y. Vlaxos; M. Seferis; Ilianna Kollia; Levon Sukissian; James Wingate; Stefanos D. Kollias (TAILOR, 2020)

Deep Transparent Prediction through Latent Representation Analysis. - Dimitrios Kollias; N. Bouas; Y. Vlaxos; V. Brillakis; M. Seferis; Ilianna Kollia; Levon Sukissian; James Wingate; Stefanos D. Kollias (CoRR, 2020)

Deep Neural Network Augmentation: Generating Faces for Affect Analysis. - Dimitrios Kollias; Shiyang Cheng 001; Evangelos Ververas; Irene Kotsia; Stefanos Zafeiriou (Int. J. Comput. Vis., 2020)

MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis. - Dimitrios Kollias; Anastasios Arsenos; Levon Soukissian; Stefanos D. Kollias (ICCVW, 2021)

Analysing Affective Behavior in the second ABAW2 Competition. - Dimitrios Kollias; Stefanos Zafeiriou (ICCVW, 2021)

Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework. - Dimitrios Kollias; Stefanos Zafeiriou (CoRR, 2021)

Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study. - Dimitrios Kollias; Viktoriia Sharmanska; Stefanos Zafeiriou (CoRR, 2021)

Analysing Affective Behavior in the second ABAW2 Competition. - Dimitrios Kollias; Irene Kotsia; Elnar Hajiyev; Stefanos Zafeiriou (CoRR, 2021)

Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset. - Dimitrios Kollias; Stefanos Zafeiriou (IEEE Trans. Affect. Comput., 2021)

Affect recognition & generation in-the-wild - Dimitrios Kollias (2021)

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges. - Dimitrios Kollias (CVPR Workshops, 2022)

MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition. - Andreas Psaroudakis; Dimitrios Kollias (CVPR Workshops, 2022)

ABAW: Learning from Synthetic Data & Multi-task Learning Challenges. - Dimitrios Kollias (ECCV Workshops (6), 2022)

AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging. - Dimitrios Kollias; Anastasios Arsenos; Stefanos D. Kollias (ECCV Workshops (7), 2022)

MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis. - Athanasios Papaioannou; Baris Gecer; Shiyang Cheng 001; Grigorios Chrysos 002; Jiankang Deng; Eftychia Fotiadou; Christos Kampouris; Dimitrios Kollias; Stylianos Moschoglou; Kritaphat Songsri-in; Stylianos Ploumpis; George Trigeorgis; et al. (ECCV (8), 2022)

Medical Image Segmentation: A Review of Modern Architectures. - Natalia Salpea; Paraskevi K. Tzouveli; Dimitrios Kollias (ECCV Workshops (7), 2022)

A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis. - Anastasios Arsenos; Dimitrios Kollias; Stefanos D. Kollias (IVMSP, 2022)

AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging. - Dimitrios Kollias; Anastasios Arsenos; Stefanos D. Kollias (CoRR, 2022)

Multi-Label Compound Expression Recognition: C-EXPR Database & Network. - Dimitrios Kollias (CVPR, 2023)

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges. - Dimitrios Kollias; Panagiotis Tzirakis; Alice Baird; Alan Cowen; Stefanos Zafeiriou (CVPR Workshops, 2023)

Data-Driven Covid-19 Detection Through Medical Imaging. - Anastasios Arsenos; Andjoli Davidhi; Dimitrios Kollias; Panos Prassopoulos; Stefanos D. Kollias (ICASSP Workshops, 2023)

AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity. - Dimitrios Kollias; Anastasios Arsenos; Stefanos D. Kollias (ICASSP Workshops, 2023)

FaceRNET: a Facial Expression Intensity Estimation Network. - Dimitrios Kollias; Andreas Psaroudakis; Anastasios Arsenos; Paraskevi-Antonia Theofilou (CoRR, 2023)

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges. - Dimitrios Kollias; Panagiotis Tzirakis; Alice Baird; Alan Cowen; Stefanos Zafeiriou (CoRR, 2023)

BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classification. - Dimitrios Kollias; Karanjot Vendal; Priyanka Gadhavi; Solomon Russom (CoRR, 2023)

A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imaging. - Dimitrios Kollias; Anastasios Arsenos; Stefanos D. Kollias (Neurocomputing, 2023)

Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond. - Dimitrios Kollias; Viktoriia Sharmanska; Stefanos Zafeiriou (AAAI, 2024)

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans. - Dimitrios Kollias; Anastasios Arsenos; Stefanos Kollias (CVPR Workshops, 2024)

The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition. - Dimitrios Kollias; Panagiotis Tzirakis; Alan Cowen; Stefanos Zafeiriou; Irene Kotsia; Alice Baird; Chris Gagne 001; Chunchang Shao; Guanyu Hu 003 (CVPR Workshops, 2024)

CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention. - Damith Chamalke Senadeera; Xiaoyun Yang; Dimitrios Kollias; Gregory G. Slabaugh (CVPR Workshops, 2024)

MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation. - Dimitrios Kollias; Andreas Psaroudakis; Anastasios Arsenos; Paraskevi Theofilou; Chunchang Shao; Guanyu Hu 003; Ioannis Patras (ECCV Workshops (15), 2024)

7th ABAW Competition: Multi-task Learning and Compound Expression Recognition. - Dimitrios Kollias; Stefanos Zafeiriou; Irene Kotsia; Abhinav Dhall; Shreya Ghosh 001; Chunchang Shao; Guanyu Hu 003 (ECCV Workshops (15), 2024)

Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis. - Guanyu Hu 003; Eleni Papadopoulou; Dimitrios Kollias; Paraskevi K. Tzouveli; Jie Wei; Xinyu Yang 001 (FG, 2024)

Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation. - Anastasios Arsenos; Dimitrios Kollias; Evangelos Petrongonas; Christos Skliros; Stefanos D. Kollias (ICASSP, 2024)

Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation. - Guanyu Hu 003; Jie Wei; Siyang Song; Dimitrios Kollias; Xinyu Yang 001; Zhonglin Sun; Odysseus Kaloidas (IJCB, 2024)

Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI System. - Demetris Gerogiannis; Anastasios Arsenos; Dimitrios Kollias; Dimitris Nikitopoulos; Stefanos D. Kollias (ISBI, 2024)

1M-Deepfakes Detection Challenge. - Zhixi Cai; Abhinav Dhall; Shreya Ghosh 001; Munawar Hayat; Dimitrios Kollias; Kalin Stefanov; Usman Tariq (ACM Multimedia, 2024)

MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing. - Shreya Ghosh 001; Zhixi Cai; Abhinav Dhall; Dimitrios Kollias; Roland Goecke; Tom Gedeon (MRAC@MM, 2024)

Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier. - Kenan Morani; Esra Kaya Ayana; Dimitrios Kollias; Devrim Ünay (SAI (3), 2024)

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans. - Dimitrios Kollias; Anastasios Arsenos; Stefanos D. Kollias (CoRR, 2024)

Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation. - Vasileios Karampinis; Anastasios Arsenos; Orfeas Filippopoulos; Evangelos Petrongonas; Christos Skliros; Dimitrios Kollias; Stefanos D. Kollias; Athanasios Voulodimos (CoRR, 2024)

Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection. - Anastasios Arsenos; Vasileios Karampinis; Evangelos Petrongonas; Christos Skliros; Dimitrios Kollias; Stefanos D. Kollias; Athanasios Voulodimos (CoRR, 2024)

Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study. - Haroon Miah; Dimitrios Kollias; Giacinto Luca Pedone; Drew Provan; Frederick Chen (CoRR, 2024)

SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection. - Dimitrios Kollias; Anastasios Arsenos; James Wingate; Stefanos D. Kollias (CoRR, 2024)

Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency. - Guanyu Hu 003; Dimitrios Kollias; Eleni Papadopoulou; Paraskevi K. Tzouveli; Jie Wei; Xinyu Yang 001 (CoRR, 2024)

Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkit. - Dimitrios Kollias; Chunchang Shao; Odysseus Kaloidas; Ioannis Patras (CoRR, 2024)

COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier. - Kenan Morani; Esra Kaya Ayana; Dimitrios Kollias; Devrim Ünay (Int. J. Biomed. Imaging, 2024)

SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection. - Dimitrios Kollias; Anastasios Arsenos; James Wingate; Stefanos Kollias (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object Detection. - Anastasios Arsenos; Vasileios Karampinis; Evangelos Petrongonas; Christos Skliros; Dimitrios Kollias; Stefanos D. Kollias; Athanasios Voulodimos (IEEE Robotics Autom. Lett., 2024)

Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and Competition. - Dimitrios Kollias; Panagiotis Tzirakis; Alan Cowen; Stefanos Zafeiriou; Irene Kotsia; Eric Granger; Marco Pedersoli; Simon Bacon; Alice Baird; Chris Gagne 001; Chunchang Shao; Guanyu Hu 003; et al. (CVPR Workshops, 2025)

Enhancing Few-Shot Medical Image Classification with Supervised Patch-Token Knowledge Distillation. - Vasileios Karampinis; Anastasios Arsenos; Dimitrios Kollias; Stefanos Kollias; Athanasios Voulodimos (DSP, 2025)

Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection. - Damith Chamalke Senadeera; Xiaoyun Yang; Dimitrios Kollias; Gregory G. Slabaugh (CoRR, 2025)

DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios. - Dimitrios Kollias; Damith Chamalke Senadeera; Jianian Zheng; Kaushal K. K. Yadav; Greg G. Slabaugh; Muhammad Awais; Xiaoyun Yang (CoRR, 2025)

Fair Domain Generalization: An Information-Theoretic View. - Tangzheng Lian; Guanyu Hu 003; Dimitrios Kollias; Xinyu Yang 001; Oya Çeliktutan (CoRR, 2025)

Grounding Emotion Recognition with Visual Prototypes: VEGA - Revisiting CLIP in MERC. - Guanyu Hu 003; Dimitrios Kollias; Xinyu Yang 001 (CoRR, 2025)