Dr Dimitrios Kollias
Lecturer in Artificial Intelligence
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
multimodal AI, machine and deep learning, computer vision, affective computing & behaviour analysis, medical imaging & healthcare, digital humans
Interests
I am Assistant Professor in 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 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 2023) of the Stanford-Elsevier ranking of the World’s Top 2% Scientists, where I am ranked: i) 31,716 out of 223,152 Top Scientists (among all disciplines and fields) globally; ii) 1,275 out of 399,064 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 50 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 5000 citations (according to google scholar).
I have been:
i) General Chair of the ABAW series of Workshops and Competitions in CVPR 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:
https://sites.google.com/view/dimitrioskollias
Publications
Publications of specific relevance to the Centre for Multimodal AI2024
1M-Deepfakes Detection ChallengeCai Z, Dhall A, Ghosh S, Hayat M, Kollias D, Stefanov K and Tariq U
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, Goecke R and Gedeon T
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, Kollias D, Cambria E, Goecke R and Gedeon T
Mrac 2024 - Proceedings of The 2nd International Workshop On Multimodal and Responsible Affective Computing
28-10-2024
NEFELI: A deep-learning detection and tracking pipeline for enhancing autonomy in Advanced Air MobilityArsenos A, Petrongonas E, Filippopoulos O, Skliros C, Kollias D and Kollias S
Aerospace Science and Technology, Elsevier, 109613-109613.
24-09-2024
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility StudyMiah H, Kollias D, Pedone GL, Provan D and 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 AttentionSenadeera DC, Yang X, Kollias D and 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 and Kollias S
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, Zafeiriou S, Kotsia I, Baird A, Gagne C, Shao C and 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, Petrongonas E, Skliros C, Kollias D, Kollias S and Voulodimos A
2024 International Conference on Unmanned Aircraft Systems (ICUAS). vol. 00, 1072-1079.
07-06-2024
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 and Voulodimos A
Ieee Robotics and Automation Letters, Institute of Electrical and Electronics Engineers
03-06-2024
Bridging the Gap: Protocol Towards Fair and Consistent Affect AnalysisHu G, Papadopoulou E, Kollias D, Tzouveli P, Wei J and 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, Nikitopoulos D and Kollias S
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, Kollias D and Unay D
International Journal of Biomedical Imaging, Hindawi vol. 2024 (1)
24-05-2024
Uncertainty-Guided Contrastive Learning For Single Source Domain GeneralisationArsenos A, Kollias D, Petrongonas E, Skliros C and Kollias S
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, Sharmanska V and Zafeiriou S
Proceedings of the AAAI Conference on Artificial Intelligence. vol. 38 (3), 2813-2821.
24-03-2024
Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality CompensationHu G, Wei J, Song S, Kollias D, Yang X, Sun Z and Kaloidas O
2024 IEEE International Joint Conference on Biometrics (IJCB). vol. 00, 1-10.
18-01-2024
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 and Unay D
In Intelligent Computing, Springer Nature 450-465.
01-01-2024
2023
BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic ClassificationKollias D, Vendal K, Gadhavi P and Russom S
Applied Sciences, Mdpi vol. 13 (21)
02-11-2023
A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imagingKollias D, Arsenos A and Kollias S
Neurocomputing, Elsevier vol. 542
01-07-2023
Data-Driven Covid-19 Detection Through Medical ImagingArsenos A, Davidhi A, Kollias D, Prassopoulos P and Kollias S
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 and Kollias S
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, Kaur R, Arya RC, Wander G, Wander P, Wander GS, Parlikad AK, Gill SS and Uhlig S
Benchcouncil Transactions On Benchmarks, Standards and Evaluations, Elsevier Bv vol. 3 (2), 100119-100119.
01-06-2023
Ai-mia: Covid-19 detection & severity analysis through medical imagingKollias D
European Conference on Computer Vision (ECCV).
12-02-2023
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 and Kollias D
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 challengesKollias D
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
01-01-2023
Multi-Label Compound Expression Recognition: C-EXPR Database & NetworkKollias D
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
01-01-2023
2022
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 DiagnosisArsenos A, Kollias D and Kollias S
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). vol. 00, 1-5.
29-06-2022
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
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning ChallengesKollias D
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
10-06-2022
MixAugment & Mixup: Augmentation Methods for Facial Expression RecognitionKollias D
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)).
10-06-2022
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, Moschoglou S, Songsri-In K, Ploumpis S, Trigeorgis G, Tzirakis P, Ververas E, Zhou Y, Ponniah A, Roussos A and Zafeiriou S
Lecture Notes in Computer Science. vol. 13668, 467-484.
01-01-2022
2021
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image AnalysisKollias D, Arsenos A, Soukissian L and Kollias S
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 and Zafeiriou S
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). vol. 00, 3645-3653.
17-10-2021
Machine Learning for Predictive Modelling of Ambulance CallsYu M, Kollias D, Wingate J, Siriwardena N and Kollias S
Electronics, Mdpi vol. 10 (4)
18-02-2021
Transparent Adaptation in Deep Medical Image DiagnosisKollias D, Vlaxos Y, Seferis M, Kollia I, Sukissian L, Wingate J and Kollias S
Lecture Notes in Computer Science. vol. 12641, 251-267.
01-01-2021
2020
Analysing Affective Behavior in the First ABAW 2020 CompetitionKollias D, Schulc A, Hajiyev E and Zafeiriou S
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020). vol. 00, 637-643.
20-11-2020
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild DatasetKollias D and 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 CompressionXu J, Lytchier A, Cursio C, Kollias D, Besenbruch C and Zafar A
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). vol. 00, 552-554.
19-06-2020
Deep Neural Network Augmentation: Generating Faces for Affect AnalysisKollias D, Cheng S, Ververas E, Kotsia I and Zafeiriou S
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 and Zafeiriou S
30th British Machine Vision Conference 2019, BMVC 2019.
01-01-2020
VA-StarGAN: Continuous Affect GenerationKollias D and Zafeiriou S
Lecture Notes in Computer Science. vol. 12002, 227-238.
01-01-2020
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 and 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 SpaceKollias D, Cheng S, Pantic M and Zafeiriou S
Lecture Notes in Computer Science. vol. 11130, 475-491.
01-01-2019
2018
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition ParadigmKollias D and Zafeiriou S
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, Tagaris G and Kollias S
International Journal of Artificial Intelligence Tools, World Scientific Publishing vol. 27 (03)
01-05-2018
2017
Deep neural architectures for prediction in healthcareKollias D, Tagaris A, Stafylopatis A, Kollias S and Tagaris G
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, Kollias S and Stafylopatis A
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, Zhao G and Kotsia I
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, Kotsia I, Zhao G and 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, Kollias D and Stafylopatis A
Communications in Computer and Information Science. vol. 744, 391-403.
01-01-2017
2016
On Line Emotion Detection Using Retrainable Deep Neural NetworksKollias D, Tagaris A and Stafylopatis A
2016 IEEE Symposium Series on Computational Intelligence (SSCI)., 1-8.
01-12-2016
2015
Interweaving Deep Learning and Semantic Techniques for Emotion Analysis in Human-Machine InteractionKollias D, Marandianos G, Raouzaiou A and Stafvlonatis A-G
2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)., 1-6.
01-11-2015