Research
multimodal and trustworthy AI, machine and deep learning, computer vision, affective computing/ behaviour analysis and understanding, medical imaging and healthcare, digital humans
Interests
I am Associate Professor in Multimodal AI at Queen Mary University of London, UK. I am Fellow of Higher Education Academy, holder of Post-Graduate Certificate, IEEE member, BMVA member, AAAI member and IARP associate member.
I obtained the Ph.D. from Imperial College London, where I was a member of the iBUG group and recipient of the prestigious Teaching Fellowship of Imperial College London. I received the M.Sc. from Imperial College London and the Diploma/M.Sc. from the National Technical University of Athens.
I was awarded the 'Sullivan Thesis Prize' by British Machine Vision Association & Society for Pattern Recognition (BMVA) at BMVC 2023, a Prize for UK researchers, based on their Thesis’ originality, academic and industrial impact, breadth & depth.
I am listed in the most recent edition (for 2024) of the Stanford-Elsevier ranking of the World’s Top 2% Scientists, where I am ranked: i) 21,554 out of 236,313 Top Scientists (among all disciplines and fields) globally; ii) 991 out of 458,615 Top Scientists in AI & Image Processing globally.
My research and interests span the areas of multimodal (image/video, audio, text, time series, sensors) machine and deep learning, trustworthy (fair, responsible, explainable and ethical) AI, data science and big data, computer vision, affective computing, behavior analysis & generation, digital humans, human machine interaction, medical imaging, mental health & healthcare.
I have co-authored more than 70 publications in the top journals and conferences, such as IJCV, CVPR, ICCV, ECCV, AAAI, TAFFC, ECAI and Neurocomputing. I am inventor of the 'Facial Behaviour Analysis' (2021) patent. My research has been funded and used by many top international companies. I have h-index 36, with over 5400 citations (according to google scholar).
I have been:
i) General Chair of the ABAW series of Workshops and Competitions in CVPR 2025, 2024, 2023 & 2022, ECCV 2024 & 2022, ICCV 2021 and IEEE FG 2020;
ii) co-Organizer & Chair of the DEF-MIA-COV19D series of Competitions and Workshops in CVPR 2024, IEEE ICASSP 2023, ECCV 2022 and ICCV 2021;
iii) co-Organizer of MRAC and REACT Workshops in ACM-MM 2024 & 2023;
iv) Co-organizer of Deepfakes Detection Grand Challenge at ACM-MM 2024.
I am reviewer in most top journals and conferences in my fields. I am reviewer for evaluation of grant proposals (e.g. EU, UK, Canada, Qatar).
You can find more details about me on my personal website:
sites.google.com/view/dimitrioskollias
Publications

Publications of specific relevance to the Centre for Multimodal AI
2026
CoLoRSMamba: Conditional LoRA-Steered Mamba for Supervised Multimodal Violence DetectionSenadeera DC Kollias D Slabaugh G
In
Arxiv 02-04-2026
Fair Domain Generalization: An Information-Theoretic ViewLian T Hu G Kollias D Yang X Celiktutan O
Proceedings of the AAAI Conference on Artificial Intelligence. vol. 40 (28), 23382-23390.
14-03-2026
A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and TasksLian T Hu G Ren Y Kollias D Celiktutan O
In
Arxiv 13-03-2026
SynchroRaMa : Lip-Synchronized and Emotion-Aware Talking Face Generation via Multi-Modal Emotion EmbeddingYee PT Kollias D Mishra S Dhall A
2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). vol. 00, 4546-4555.
10-03-2026
From Cognitive Priors to Instance Semantics: A Unified Framework for Multi-task Affective ComputingHu G Kollias D Yang X
2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). vol. 00, 8551-8562.
10-03-2026
Fair Domain Generalization: An Information-Theoretic ViewLian T Hu G Kollias D Yang X Celiktutan O
In
Arxiv 01-01-20262025
FairMT: Fairness for Heterogeneous Multi-Task LearningHu G Lian T Yan N Kollias D Yang X Celiktutan O Song S Fu Z
In
Arxiv 29-11-2025
CausalAffect: Causal Discovery for Facial Affective UnderstandingHu G Lian T Kollias D Celiktutan O Yang X
In
Arxiv 29-11-2025
Grounding Emotion Recognition with Visual Prototypes: VEGA - Revisiting CLIP in MERCHu G Kollias D Yang X
Proceedings of the 33rd ACM International Conference on Multimedia., 5667-5676.
27-10-2025
From Emotions to Violence: Multimodal Fine-Grained Behavior Analysis at the 9th ABAWKollias D Zafeiriou S Kotsia I Slabaugh G Senadeera DC Zheng J Yadav KKK Shao C et al.
2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). vol. 00, 1-12.
20-10-2025
Proactive HIV Care: AI-Based Comorbidity Prediction from Routine EHR DataRussom S Kollias D Zhang Q
2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). vol. 00, 7333-7341.
20-10-2025
PHAROS-AFE-AIMI: Multi-Source & Fair Disease DiagnosisKollias D Arsenos A Kollias S
2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). vol. 00, 7324-7332.
20-10-2025
HRAI 2025: The 1st Workshop on Holistic and Responsible Affective IntelligenceLi Y Kollias D Chanel G Fanourakis M Muszynski M Booth BM Tian L Perera M et al.
Proceedings of the 27th International Conference on Multimodal Interaction., 814-817.
12-10-2025
Dual Branch VideoMamba with Gated Class Token Fusion for Violence DetectionSenadeera DC Yang X Li S Awais M Kollias D Slabaugh G
In
Arxiv 25-09-2025
SynchroRaMa : Lip-Synchronized and Emotion-Aware Talking Face Generation via Multi-Modal Emotion EmbeddingYee PT Kollias D Mishra S Dhall A
In
Arxiv 24-09-2025
Proactive HIV Care: AI-Based Comorbidity Prediction from Routine EHR DataRussom S Kollias D Zhang Q
In
Arxiv 29-08-2025
Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERCHu G Kollias D Yang X
13-08-2025
Enhancing Few-Shot Medical Image Classification with Supervised Patch-Token Knowledge DistillationKarampinis V Arsenos A Kollias D Kollias S Voulodimos A
2025 25th International Conference on Digital Signal Processing (DSP). vol. 00, 1-5.
27-06-2025
Preface ,
Institute of Electrical and Electronics Engineers (IEEE), i-ii.
25-06-2025
Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and CompetitionKollias D Tzirakis P Cowen A Zafeiriou S Kotsia I Granger E Pedersoli M Bacon S et al.
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 5572-5583.
12-06-2025
DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World ScenariosKollias D Senadeera DC Zheng J Yadav KKK Slabaugh G Awais M Yang X
In
Arxiv 29-05-2025
PrefaceXu Y Huang J Chen M Yan D Lu K Karras DA Zhou H Zhang J et al.
Proceedings of 2025 5th International Conference on Bioinformatics and Intelligent Computing Bic 2025 10-05-2025
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 DetectionKollias D Arsenos A
Eai Endorsed Transactions on Pervasive Health and Technology,
European Alliance For Innovation N.O. vol. 11
02-04-2025
Rethinking Affect Analysis: A Protocol for Ensuring Fairness and ConsistencyHu G Kollias D Papadopoulou E Wei J Yang X
IEEE Transactions on Biometrics Behavior and Identity Science,
Institute of Electrical and Electronics Engineers (IEEE) vol. 7 (4), 914-923.
10-03-2025
7th ABAW Competition: Multi-task Learning and Compound Expression RecognitionKollias D Zafeiriou S Kotsia I Dhall A Ghosh S Shao C Hu G
In
Computer Vision – Eccv 2024 Workshops,
Springer Nature 31-45.
01-01-2025
MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity EstimationKollias D Psaroudakis A Arsenos A Theofilou P Shao C Hu G Patras I
In
Computer Vision – Eccv 2024 Workshops,
Springer Nature 1-16.
01-01-20252024
NEFELI: A deep-learning detection and tracking pipeline for enhancing autonomy in advanced air mobilityArsenos A Petrongonas E Filippopoulos O Skliros C
Aerospace Science and Technology,
Elsevier vol. 155
01-12-2024
1M-Deepfakes Detection ChallengeCai Z Dhall A Ghosh S Hayat M
Proceedings of the 32nd ACM International Conference on Multimedia., 11355-11359.
28-10-2024
MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective ComputingGhosh S Cai Z Dhall A Kollias D
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing., 1-6.
28-10-2024
MRAC '24 Chairs' WelcomeTao J Ghosh S Lian Z Cai Z Schuller BW Dhall A Zhao G Cambria E
Mrac 2024 Proceedings of The 2nd International Workshop on Multimodal and Responsible Affective Computing 28-10-2024
Behaviour4All: in-the-wild Facial Behaviour Analysis ToolkitKollias D Shao C Kaloidas O Patras I
In
Arxiv 26-09-2024
MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective ComputingGhosh S Cai Z Dhall A Kollias D Goecke R Gedeon T
In
Arxiv 11-09-2024
1M-Deepfakes Detection ChallengeCai Z Dhall A Ghosh S Hayat M Kollias D Stefanov K Tariq U
In
Arxiv 11-09-2024
MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity EstimationKollias D Psaroudakis A Arsenos A Theofilou P Shao C Hu G Patras I
In
Arxiv 04-09-2024
Rethinking Affect Analysis: A Protocol for Ensuring Fairness and ConsistencyHu G Kollias D Papadopoulou E Tzouveli P Wei J Yang X
In
Arxiv 07-08-2024
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 DetectionKollias D Arsenos A Wingate J Kollias S
In
Arxiv 23-07-2024
Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality CompensationHu G Wei J Song S Kollias D Yang X Sun Z Kaloidas O
In
Arxiv 23-07-2024
7th ABAW Competition: Multi-Task Learning and Compound Expression RecognitionKollias D Zafeiriou S Kotsia I Dhall A Ghosh S Shao C Hu G
In
Arxiv 08-07-2024
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility StudyMiah H Kollias D Provan D
Diagnostics,
Mdpi vol. 14 (13)
26-06-2024
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive AttentionSenadeera DC Yang X Kollias D Slabaugh G
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 4888-4897.
18-06-2024
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scansKollias D Arsenos A
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 4907-4914.
18-06-2024
The 6th Affective Behavior Analysis in-the-wild (ABAW) CompetitionKollias D Tzirakis P Cowen A Kotsia I Gagne C Hu G
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 4587-4598.
18-06-2024
Ensuring UAV Safety: A Vision-Only and Real-Time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance EstimationKarampinis V Arsenos A Filippopoulos O Skliros C Kollias D
2024 International Conference on Unmanned Aircraft Systems (ICUAS). vol. 00, 1072-1079.
07-06-2024
Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object DetectionArsenos A Karampinis V Petrongonas E Skliros C Voulodimos A
IEEE Robotics and Automation Letters,
Institute of Electrical and Electronics Engineers (IEEE) vol. 9 (7), 6688-6695.
03-06-2024
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility studyMiah H Kollias D Pedone GL Provan D Chen F
In
Arxiv 31-05-2024
Bridging the Gap: Protocol Towards Fair and Consistent Affect AnalysisHu G Papadopoulou E Kollias D Yang X
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). vol. 00, 1-9.
31-05-2024
Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI SystemGerogiannis D Arsenos A Kollias D
2024 IEEE International Symposium on Biomedical Imaging (ISBI). vol. 00, 1-4.
30-05-2024
COVID‐19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception ClassifierMorani K Ayana EK
International Journal of Biomedical Imaging,
Hindawi vol. 2024 (1)
24-05-2024
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance EstimationKarampinis V Arsenos A Filippopoulos O Petrongonas E Skliros C Kollias D Kollias S Voulodimos A
In
Arxiv 16-05-2024
Bridging the Gap: Protocol Towards Fair and Consistent Affect AnalysisHu G Papadopoulou E Kollias D Tzouveli P Wei J Yang X
In
Arxiv 16-05-2024
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air
Visual Object DetectionArsenos A Karampinis V Petrongonas E Skliros C Kollias D Kollias S Voulodimos A
10-05-2024
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive AttentionSenadeera DC Yang X Kollias D Slabaugh G
In
Arxiv 27-04-2024
Uncertainty-Guided Contrastive Learning For Single Source Domain GeneralisationArsenos A Kollias D Petrongonas E
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). vol. 00, 6935-6939.
19-04-2024
Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & BeyondKollias D Zafeiriou S
Proceedings of the AAAI Conference on Artificial Intelligence. vol. 38 (3), 2813-2821.
24-03-2024
Uncertainty-guided Contrastive Learning for Single Source Domain GeneralisationArsenos A Kollias D Petrongonas E Skliros C Kollias S
In
Arxiv 14-03-2024
The 6th Affective Behavior Analysis in-the-wild (ABAW) CompetitionKollias D Tzirakis P Cowen A Zafeiriou S Kotsia I Baird A Gagne C Shao C et al.
In
Arxiv 12-03-2024
COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI SystemGerogiannis D Arsenos A Kollias D Nikitopoulos D Kollias S
In
Arxiv 12-03-2024
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scansKollias D Arsenos A Kollias S
In
Arxiv 10-03-2024
Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality CompensationHu G Wei J Song S Kollias D
2024 IEEE International Joint Conference on Biometrics (IJCB). vol. 00, 1-10.
18-01-2024
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & BeyondKollias D Sharmanska V Zafeiriou S
In
Arxiv 03-01-2024
Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN ClassifierMorani K Ayana EK Kollias D Unay D
In
Intelligent Computing,
Springer Nature 450-465.
01-01-20242023
BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic ClassificationKollias D Vendal K Gadhavi P Russom S
Applied Sciences,
Mdpi vol. 13 (21)
02-11-2023
BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic ClassificationKollias D Vendal K Gadhavi P Russom S
In
Arxiv 07-10-2023
A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imagingKollias D Arsenos A Kollias S
Neurocomputing,
Elsevier vol. 542
01-07-2023
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation ChallengesKollias D Tzirakis P Baird A
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 5889-5898.
24-06-2023
Multi-Label Compound Expression Recognition: C-EXPR Database & NetworkKollias D
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). vol. 00, 5589-5598.
24-06-2023
Data-Driven Covid-19 Detection Through Medical ImagingArsenos A Davidhi A Kollias D
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). vol. 00, 1-5.
10-06-2023
AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its SeverityKollias D Arsenos A
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). vol. 00, 1-5.
10-06-2023
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR imagesChowdhury D Das A Dey A Banerjee S Golec M Kollias D Kumar M Kaur G et al.
Benchcouncil Transactions on Benchmarks Standards and Evaluations vol. 3 (2)
01-06-2023
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation ChallengesKollias D Tzirakis P Baird A Cowen A Zafeiriou S
In
Arxiv 20-03-2023
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical ImagingKollias D Arsenos A Kollias S
In
Arxiv 02-03-2023
AI-MIA: COVID-19 Detection and Severity Analysis Through Medical ImagingKollias D Kollias S
Lecture Notes in Computer Science. vol. 13807, 677-690.
01-01-2023
ABAW: Learning from Synthetic Data & Multi-task Learning ChallengesKollias D
Lecture Notes in Computer Science. vol. 13806, 157-172.
01-01-2023
Medical Image Segmentation: A Review of Modern ArchitecturesSalpea N Tzouveli P
In
Computer Vision – Eccv 2022 Workshops,
Springer Nature 691-708.
01-01-20232022
ABAW: Learning from Synthetic Data & Multi-Task Learning ChallengesKollias D
In
Arxiv 05-07-2022
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 DiagnosisArsenos A Kollias D
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). vol. 00, 1-5.
29-06-2022
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning ChallengesKollias D
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 2327-2335.
20-06-2022
MixAugment & Mixup: Augmentation Methods for Facial Expression RecognitionPsaroudakis A Kollias D
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 2366-2374.
20-06-2022
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 DiagnosisKollias D
IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).
16-06-2022
AI-MIA: COVID-19 Detection & Severity Analysis through Medical ImagingKollias D Arsenos A Kollias S
In
Arxiv 13-06-2022
MixAugment & Mixup: Augmentation Methods for Facial Expression RecognitionPsaroudakis A Kollias D
In
Arxiv 09-05-2022
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit
Detection & Multi-Task Learning ChallengesKollias D
22-02-2022
MimicME: A Large Scale Diverse 4D Database for Facial Expression AnalysisPapaioannou A Gecer B Cheng S Chrysos G Deng J Fotiadou E Kampouris C Kollias D et al.
Lecture Notes in Computer Science. vol. 13668, 467-484.
01-01-20222021
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image AnalysisKollias D Arsenos A Soukissian L
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). vol. 00, 537-544.
17-10-2021
Analysing Affective Behavior in the second ABAW2 CompetitionKollias D
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). vol. 00, 3645-3653.
17-10-2021
Analysing Affective Behavior in the second ABAW2 CompetitionKollias D Kotsia I Hajiyev E Zafeiriou S
In
Arxiv 03-07-2021
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image AnalysisKollias D Arsenos A Soukissian L Kollias S
In
Arxiv 21-06-2021
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face StudyKollias D Sharmanska V Zafeiriou S
In
Arxiv 08-05-2021
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified FrameworkKollias D Zafeiriou S
In
Arxiv 29-03-2021
Machine Learning for Predictive Modelling of Ambulance CallsYu M Kollias D Wingate J Kollias S
Electronics,
Mdpi vol. 10 (4)
18-02-2021
Transparent Adaptation in Deep Medical Image DiagnosisKollias D Vlaxos Y Seferis M Kollia I Wingate J
Lecture Notes in Computer Science. vol. 12641, 251-267.
01-01-20212020
Analysing Affective Behavior in the First ABAW 2020 CompetitionKollias D Schulc A Zafeiriou S
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020). vol. 00, 637-643.
20-11-2020
Deep Transparent Prediction through Latent Representation AnalysisKollias D Bouas N Vlaxos Y Brillakis V Seferis M Kollia I Sukissian L Wingate J et al.
In
Arxiv 20-09-2020
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild DatasetKollias D
IEEE Transactions on Affective Computing,
Institute of Electrical and Electronics Engineers (IEEE) vol. 12 (3), 595-606.
04-08-2020
Efficient Context-Aware Lossy Image CompressionXu J Lytchier A Kollias D Besenbruch C
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 552-554.
19-06-2020
Face Behavior a la carte: Expressions, Affect and Action Units in a Single NetworkKollias D Sharmanska V Zafeiriou S
In
Arxiv 29-05-2020
Analysing Affective Behavior in the First ABAW 2020 CompetitionKollias D Schulc A Hajiyev E Zafeiriou S
In
Arxiv 15-04-2020
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild DatasetKollias D Zafeiriou S
In
Arxiv 10-04-2020
Deep Neural Network Augmentation: Generating Faces for Affect AnalysisKollias D Cheng S Kotsia I
International Journal of Computer Vision,
Springer Nature vol. 128 (5), 1455-1484.
22-02-2020
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcfaceKollias D Zafeiriou S
30th British Machine Vision Conference 2019 Bmvc 2019.
01-01-2020
VA-StarGAN: Continuous Affect GenerationKollias D
Lecture Notes in Computer Science. vol. 12002, 227-238.
01-01-20202019
Aff-Wild2: Extending the Aff-Wild Database for Affect RecognitionKollias D Zafeiriou S
In
Arxiv 13-12-2019
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary ExpressionsKollias D Zafeiriou S
In
Arxiv 13-12-2019
A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wildKollias D Zafeiriou S
In
Arxiv 13-12-2019
Aff-Wild Database and AffWildNetLiu M Kollias D
In
Arxiv 13-12-2019
Interpretable Deep Neural Networks for Facial Expression and Dimensional
Emotion Recognition in-the-wildRicher V Kollias D
14-10-2019
Interpretable Deep Neural Networks for Dimensional and Categorical
Emotion Recognition in-the-wildYicheng X Kollias D
13-10-2019
Image Generation and Recognition (Emotions)Carlsson H Kollias D
13-10-2019
Emotion Generation and Recognition: A StarGAN ApproachBanerjee A Kollias D
12-10-2019
AffWild Net and Aff-Wild DatabaseBenroumpi A Kollias D
11-10-2019
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFaceKollias D Zafeiriou S
In
Arxiv 25-09-2019
Deep Neural Network Augmentation: Generating Faces for Affect AnalysisKollias D Cheng S Ververas E Kotsia I Zafeiriou S
In
Arxiv 16-07-2019
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and BeyondKollias D Tzirakis P Nicolaou MA Papaioannou A Zhao G Schuller B
International Journal of Computer Vision,
Springer Nature vol. 127 (6-7), 907-929.
13-02-2019
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and BeyondKollias D Tzirakis P Nicolaou MA Papaioannou A Zhao G Schuller B Kotsia I Zafeiriou S
In
Arxiv 01-02-2019
Photorealistic Facial Synthesis in the Dimensional Affect SpaceKollias D Cheng S Zafeiriou S
Lecture Notes in Computer Science. vol. 11130, 475-491.
01-01-20192018
Photorealistic Facial Synthesis in the Dimensional Affect SpaceKollias D Cheng S Pantic M Zafeiriou S
In
Arxiv 11-11-2018
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition ParadigmKollias D Zafeiriou S
In
Arxiv 12-09-2018
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition ParadigmKollias D
2018 International Joint Conference on Neural Networks (IJCNN). vol. 00, 1-8.
13-07-2018
Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark DatasetTagaris A Kollias D Stafylopatis A
International Journal of Artificial Intelligence Tools,
World Scientific Publishing vol. 27 (03)
01-05-20182017
Deep neural architectures for prediction in healthcareKollias D Tagaris A Stafylopatis A
Complex & Intelligent Systems,
Springer Nature vol. 4 (2), 119-131.
13-11-2017
Adaptation and Contextualization of Deep Neural Network ModelsKollias D Yu M Tagaris A Leontidis G
2017 IEEE Symposium Series on Computational Intelligence (SSCI)., 1-8.
01-11-2017
Aff-Wild: Valence and Arousal ‘in-the-Wild’ ChallengeZafeiriou S Kollias D Nicolaou MA Papaioannou A
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)., 1980-1987.
01-07-2017
Recognition of Affect in the Wild Using Deep Neural NetworksKollias D Nicolaou MA Zhao G Zafeiriou S
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)., 1972-1979.
01-07-2017
Assessment of Parkinson’s Disease Based on Deep Neural NetworksTagaris A Stafylopatis A
Communications in Computer and Information Science. vol. 744, 391-403.
01-01-20172016
On Line Emotion Detection Using Retrainable Deep Neural NetworksKollias D Tagaris A
2016 IEEE Symposium Series on Computational Intelligence (SSCI)., 1-8.
01-12-20162015
Interweaving Deep Learning and Semantic Techniques for Emotion Analysis in Human-Machine InteractionKollias D Marandianos G Raouzaiou A
2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)., 1-6.
01-11-2015
Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and CompetitionKollias D Tzirakis P Cowen A Zafeiriou S Kotsia I Granger E Pedersoli M Bacon S et al.
AURA: Visually Interpretable Affective Understanding via Robust ArchetypesGuanyu H Kollias D Xinyu Y
Forty-third International Conference on Machine Learning (ICML).
A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and TasksTangzheng L Hu G Ren Y Kollias D Celiktutan O
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026.
Machine Learning for Predictive Modelling of Ambulance CallsYu M Kollias D Wingate J Siriwardena N Kollias S
In
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