Dr Dimitrios Kollias

Dimitrios Kollias

Lecturer in Artificial Intelligence

School of Electronic Engineering and Computer Science
Queen Mary University of London
www.qmul.ac.uk/eecs/people/profiles/kolliasdimitrios.html
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Research

multimodal artificial intelligence, machine and deep learning, trustworthy (fair/responsible/explainable/ethical) artificial intelligence, medical imaging, biomedical, healthcare, pathologies (e.g./ cancer/ cardiovascular diseases/ brain injuries/ periodontal diseases/ COVID-19/ obesity/metabolic disorders), tissue and organs (e.g. intestine/ liver/ kidney/ skin/ bone/ blood vessels/ heart/ blood-brain barrier/ nerve tissue)

Interests

I am actively developing and have a strong interest in novel multimodal artificial intelligence, machine learning, and deep learning methods, with a particular focus on trustworthy AI—ensuring models are fair, responsible, explainable, and ethical—for healthcare and precision medicine.
My research spans various pathologies, including cancer, cardiovascular diseases, brain injuries, periodontal diseases, COVID-19, and obesity/metabolic disorders, among others. Additionally, I have worked with a diverse range of tissues and organs, such as the intestine, liver, kidney, skin, bone, blood vessels, heart, blood-brain barrier, and nerve tissue.

Publications

solid heart iconPublications of specific relevance to Predictive in vitro Models

2025

Grounding Emotion Recognition with Visual Prototypes: VEGA - Revisiting CLIP in MERC
Hu G, Kollias D, Yang X
Proceedings of the 33rd ACM International Conference on Multimedia. 
27-10-2025
HRAI 2025: The 1st Workshop on Holistic and Responsible Affective Intelligence
Li 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. 
12-10-2025
Enhancing Few-Shot Medical Image Classification with Supervised Patch-Token Knowledge Distillation
Karampinis V, Arsenos A, Kollias D, Kollias S, Voulodimos A
2025 25th International Conference on Digital Signal Processing (DSP). 
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 Competition
Kollias 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). 
12-06-2025
DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios
Kollias D, Senadeera DC, Zheng J, Yadav KKK, Slabaugh G, Awais M, Yang X
 
29-05-2025
Preface
Xu 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 Detection
Kollias 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 Consistency
Hu 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 Recognition
Kollias 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 Estimation
Kollias D, Psaroudakis A, Arsenos A, Theofilou P, Shao C, Hu G, Patras I
In Computer Vision – Eccv 2024 Workshops, Springer Nature 1-16.  
01-01-2025

2024

1M-Deepfakes Detection Challenge
Cai Z, Dhall A, Ghosh S, Hayat M
Proceedings of the 32nd ACM International Conference on Multimedia. 
28-10-2024
MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing
Ghosh S, Cai Z, Dhall A, Kollias D
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing. 
28-10-2024
MRAC '24 Chairs' Welcome
Tao 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 Toolkit
Kollias D, Shao C, Kaloidas O, Patras I
In Arxiv 
26-09-2024
NEFELI: A deep-learning detection and tracking pipeline for enhancing autonomy in Advanced Air Mobility
Arsenos A, Petrongonas E, Filippopoulos O, Skliros C
Aerospace Science and Technology, Elsevier, 109613-109613.  
24-09-2024
MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing
Ghosh S, Cai Z, Dhall A, Kollias D, Goecke R, Gedeon T
In Arxiv 
11-09-2024
1M-Deepfakes Detection Challenge
Cai Z, Dhall A, Ghosh S, Hayat M, Kollias D, Stefanov K, Tariq U
In Arxiv 
10-09-2024
Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency
Hu G, Kollias D, Papadopoulou E, Tzouveli P, Wei J, Yang X
In Arxiv 
04-08-2024
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection
Kollias D, Arsenos A, Wingate J, Kollias S
In Arxiv 
22-07-2024
Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation
Hu G, Wei J, Song S, Kollias D, Yang X, Sun Z, Kaloidas O
In Arxiv 
22-07-2024
7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition
Kollias D, Zafeiriou S, Kotsia I, Dhall A, Ghosh S, Shao C, Hu G
In Arxiv 
04-07-2024
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study
Miah 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 Attention
Senadeera DC, Yang X, Kollias D, Slabaugh G
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 
18-06-2024
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans
Kollias D, Arsenos A
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 
18-06-2024
Ensuring UAV Safety: A Vision-Only and Real-Time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation
Karampinis V, Arsenos A, Filippopoulos O, Skliros C, Kollias D
2024 International Conference on Unmanned Aircraft Systems (ICUAS). 
07-06-2024
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
Arsenos A, Karampinis V, Petrongonas E, Skliros C, Kollias D
Ieee Robotics and Automation Letters, Institute of Electrical and Electronics Engineers 
03-06-2024
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis
Hu G, Papadopoulou E, Kollias D, Yang X
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). 
31-05-2024
Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI System
Gerogiannis D, Arsenos A, Kollias D
2024 IEEE International Symposium on Biomedical Imaging (ISBI). 
30-05-2024
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study
Miah H, Kollias D, Pedone GL, Provan D, Chen F
In Arxiv 
30-05-2024
COVID‐19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier
Morani K, Ayana EK
International Journal of Biomedical Imaging, Hindawi vol. 2024 (1) 
24-05-2024
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
Arsenos A, Karampinis V, Petrongonas E, Skliros C, Kollias D, Kollias S, Voulodimos A
 
10-05-2024
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation
Karampinis V, Arsenos A, Filippopoulos O, Petrongonas E, Skliros C, Kollias D, Kollias S, Voulodimos A
In Arxiv 
10-05-2024
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis
Hu G, Papadopoulou E, Kollias D, Tzouveli P, Wei J, Yang X
In Arxiv 
10-05-2024
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention
Senadeera DC, Yang X, Kollias D, Slabaugh G
In Arxiv 
27-04-2024
Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation
Arsenos A, Kollias D, Petrongonas E
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 
19-04-2024
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation
Arsenos A, Kollias D, Petrongonas E, Skliros C, Kollias S
In Arxiv 
12-03-2024
COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System
Gerogiannis D, Arsenos A, Kollias D, Nikitopoulos D, Kollias S
In Arxiv 
10-03-2024
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans
Kollias D, Arsenos A, Kollias S
In Arxiv 
04-03-2024
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
Kollias D, Tzirakis P, Cowen A, Zafeiriou S, Kotsia I, Baird A, Gagne C, Shao C et al.
In Arxiv 
29-02-2024
Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation
Hu G, Wei J, Song S, Kollias D
2024 IEEE International Joint Conference on Biometrics (IJCB). 
18-01-2024
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond
Kollias D, Sharmanska V, Zafeiriou S
In Arxiv 
02-01-2024
Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier
Morani K, Ayana EK, Kollias D, Unay D
In Intelligent Computing, Springer Nature 450-465.  
01-01-2024

2023

BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic Classification
Kollias 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 Classification
Kollias D, Vendal K, Gadhavi P, Russom S
In Arxiv 
05-10-2023
A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imaging
Kollias D, Arsenos A, Kollias S
Neurocomputing, Elsevier vol. 542 
01-07-2023
Data-Driven Covid-19 Detection Through Medical Imaging
Arsenos A, Davidhi A, Kollias D
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 
10-06-2023
AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity
Kollias D, Arsenos A
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 
10-06-2023
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
Chowdhury D, Das A, Dey A, Banerjee S, Golec M, Kollias D, Kumar M, Kaur G et al.
Benchcouncil Transactions On Benchmarks, Standards and Evaluations, Elsevier Bv vol. 3 (2), 100119-100119.  
01-06-2023
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges
Kollias D, Tzirakis P, Baird A, Cowen A, Zafeiriou S
In Arxiv 
02-03-2023
MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation
Kollias D, Psaroudakis A, Arsenos A, Theofilou P, Shao C, Hu G, Patras I
In Arxiv 
28-02-2023
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging
Kollias D, Arsenos A, Kollias S
In Arxiv 
28-02-2023
Ai-mia: Covid-19 detection & severity analysis through medical imaging
Kollias D
European Conference on Computer Vision (ECCV). 
12-02-2023
Medical Image Segmentation: A Review of Modern Architectures
Salpea N, Tzouveli P
In Computer Vision – Eccv 2022 Workshops, Springer Nature 691-708.  
01-01-2023
Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
Kollias D
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 
01-01-2023
Multi-Label Compound Expression Recognition: C-EXPR Database & Network
Kollias D
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 
01-01-2023

2022

ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges
Kollias D
In Arxiv 
03-07-2022
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis
Arsenos A, Kollias D
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). 
29-06-2022
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis
Kollias D
IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). 
16-06-2022
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges
Kollias D
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 
10-06-2022
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition
Kollias D
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)). 
10-06-2022
AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging
Kollias D, Arsenos A, Kollias S
In Arxiv 
09-06-2022
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition
Psaroudakis A, Kollias D
In Arxiv 
09-05-2022
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges
Kollias D
 
22-02-2022

2021

MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
Kollias D, Arsenos A, Soukissian L
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). 
17-10-2021
Analysing Affective Behavior in the second ABAW2 Competition
Kollias D
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). 
17-10-2021
Analysing Affective Behavior in the second ABAW2 Competition
Kollias D, Kotsia I, Hajiyev E, Zafeiriou S
In Arxiv 
14-06-2021
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
Kollias D, Arsenos A, Soukissian L, Kollias S
In Arxiv 
14-06-2021
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
Kollias D, Sharmanska V, Zafeiriou S
In Arxiv 
08-05-2021
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework
Kollias D, Zafeiriou S
In Arxiv 
29-03-2021
Machine Learning for Predictive Modelling of Ambulance Calls
Yu M, Kollias D, Wingate J, Kollias S
Electronics, Mdpi vol. 10 (4) 
18-02-2021
Transparent Adaptation in Deep Medical Image Diagnosis
Kollias D, Vlaxos Y, Seferis M, Kollia I, Wingate J
 
01-01-2021

2020

Analysing Affective Behavior in the First ABAW 2020 Competition
Kollias D, Schulc A, Zafeiriou S
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020). 
20-11-2020
Deep Transparent Prediction through Latent Representation Analysis
Kollias D, Bouas N, Vlaxos Y, Brillakis V, Seferis M, Kollia I, Sukissian L, Wingate J et al.
In Arxiv 
13-09-2020
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset
Kollias 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 Compression
Xu J, Lytchier A, Kollias D, Besenbruch C
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 
19-06-2020
Deep Neural Network Augmentation: Generating Faces for Affect Analysis
Kollias D, Cheng S, Kotsia I
International Journal of Computer Vision, Springer Nature vol. 128 (5), 1455-1484.  
22-02-2020
Analysing Affective Behavior in the First ABAW 2020 Competition
Kollias D, Schulc A, Hajiyev E, Zafeiriou S
In Arxiv 
30-01-2020
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
Kollias D, Zafeiriou S
 
01-01-2020
VA-StarGAN: Continuous Affect Generation
Kollias D
 
01-01-2020

2019

Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network
Kollias D, Sharmanska V, Zafeiriou S
In Arxiv 
15-10-2019
Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild
Richer V, Kollias D
 
14-10-2019
Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild
Yicheng X, Kollias D
 
13-10-2019
Image Generation and Recognition (Emotions)
Carlsson H, Kollias D
 
13-10-2019
Emotion Generation and Recognition: A StarGAN Approach
Banerjee A, Kollias D
 
12-10-2019
Aff-Wild Database and AffWildNet
Liu M, Kollias D
In Arxiv 
11-10-2019
AffWild Net and Aff-Wild Database
Benroumpi A, Kollias D
 
11-10-2019
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset
Kollias D, Zafeiriou S
In Arxiv 
03-10-2019
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Kollias D, Zafeiriou S
In Arxiv 
25-09-2019
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Kollias 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
Photorealistic Facial Synthesis in the Dimensional Affect Space
Kollias D, Cheng S, Zafeiriou S
 
01-01-2019

2018

Deep Neural Network Augmentation: Generating Faces for Affect Analysis
Kollias D, Cheng S, Ververas E, Kotsia I, Zafeiriou S
In Arxiv 
12-11-2018
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions
Kollias D, Zafeiriou S
In Arxiv 
11-11-2018
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition
Kollias D, Zafeiriou S
In Arxiv 
10-11-2018
Photorealistic Facial Synthesis in the Dimensional Affect Space
Kollias D, Cheng S, Pantic M, Zafeiriou S
In Arxiv 
10-11-2018
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm
Kollias D, Zafeiriou S
In Arxiv 
12-09-2018
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm
Kollias D
2018 International Joint Conference on Neural Networks (IJCNN). 
13-07-2018
A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild
Kollias D, Zafeiriou S
In Arxiv 
03-05-2018
Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark Dataset
Tagaris A, Kollias D, Stafylopatis A
International Journal of Artificial Intelligence Tools, World Scientific Publishing vol. 27 (03) 
01-05-2018
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Kollias D, Tzirakis P, Nicolaou MA, Papaioannou A, Zhao G, Schuller B, Kotsia I, Zafeiriou S
In Arxiv 
29-04-2018

2017

Deep neural architectures for prediction in healthcare
Kollias 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 Models
Kollias D, Yu M, Tagaris A, Leontidis G
2017 IEEE Symposium Series on Computational Intelligence (SSCI). 
01-11-2017
Aff-Wild: Valence and Arousal ‘in-the-Wild’ Challenge
Zafeiriou S, Kollias D, Nicolaou MA, Papaioannou A
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 
01-07-2017
Recognition of Affect in the Wild Using Deep Neural Networks
Kollias D, Nicolaou MA, Zhao G, Zafeiriou S
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 
01-07-2017
Assessment of Parkinson’s Disease Based on Deep Neural Networks
Tagaris A, Stafylopatis A
 
01-01-2017

2016

On Line Emotion Detection Using Retrainable Deep Neural Networks
Kollias D, Tagaris A
2016 IEEE Symposium Series on Computational Intelligence (SSCI). 
01-12-2016

2015

Interweaving Deep Learning and Semantic Techniques for Emotion Analysis in Human-Machine Interaction
Kollias D, Marandianos G, Raouzaiou A
2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP). 
01-11-2015

Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and Competition
Kollias D, Tzirakis P, Cowen A, Zafeiriou S, Kotsia I, Granger E, Pedersoli M, Bacon S et al.
 
Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERC
Hu G, Kollias D, Xinyu Y
ACM Multimedia 2025. 
Abaw: Learning from synthetic data & multi-task learning challenges
Kollias D
European Conference on Computer Vision (ECCV). 
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis
Kollias D
European Conference on Computer Vision (ECCV). 
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond
Kollias D, Sharmanska V, Zafeiriou S
38th Annual AAAI Conference on Artificial Intelligence. 
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
Kollias D, Tzirakis P, Cowen A, Zafeiriou S, Shao C, Hu G
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). 
Machine Learning for Predictive Modelling of Ambulance Calls
Yu M, Kollias D, Wingate J, Siriwardena N, Kollias S
In Preprints.Org 

Grants

solid heart iconGrants of specific relevance to Predictive in vitro Models
bullet iconHolistic, Robust, Effective & Contextual Affect Analysis in-the-wild - PhD Studentship S&E BAND A
Dimitrios Kollias
£201,645 Toyota Motor Europe
01-10-2025 - 31-03-2029