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

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). 
11-06-2025
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, Kollias D, Kollias S
Aerospace Science and Technology, Elsevier, 109613-109613.  
24-09-2024
MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing

In Arxiv 
11-09-2024
1M-Deepfakes Detection Challenge

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

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

In Arxiv 
04-07-2024
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study
Miah H, Kollias D, Pedone GL, Provan D, Chen F
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

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, Kollias D, Unay D
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

In Arxiv 
10-05-2024
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis

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

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

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

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

In Arxiv 
02-03-2023
MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation

In Arxiv 
28-02-2023
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging

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

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

In Arxiv 
09-06-2022
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition

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

In Arxiv 
14-06-2021
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis

In Arxiv 
14-06-2021
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study

In Arxiv 
08-05-2021
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework

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, Hajiyev E, 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

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, Zafeiriou S
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, Cursio C, Kollias D, Besenbruch C, Zafar A
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, Ververas E, Kotsia I, Zafeiriou S
International Journal of Computer Vision, Springer Nature vol. 128 (5), 1455-1484.  
22-02-2020
Analysing Affective Behavior in the First ABAW 2020 Competition

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

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

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

In Arxiv 
03-10-2019
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace

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, Kotsia I, Zafeiriou S
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, Pantic M, Zafeiriou S
 
01-01-2019

2018

Deep Neural Network Augmentation: Generating Faces for Affect Analysis

In Arxiv 
12-11-2018
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions

In Arxiv 
11-11-2018
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

In Arxiv 
10-11-2018
Photorealistic Facial Synthesis in the Dimensional Affect Space

In Arxiv 
10-11-2018
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm

In Arxiv 
12-09-2018
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm
Kollias D, Zafeiriou S
2018 International Joint Conference on Neural Networks (IJCNN). 
13-07-2018
A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild

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, Kollias S, Tagaris G
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, Zhao G, Kotsia I
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

ACM Multimedia 2025. 
Abaw: Learning from synthetic data & multi-task learning challenges

European Conference on Computer Vision (ECCV). 
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis

European Conference on Computer Vision (ECCV). 
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond

38th Annual AAAI Conference on Artificial Intelligence. 
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). 
Machine Learning for Predictive Modelling of Ambulance Calls

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