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
Cai Z, Dhall A, Ghosh S, Hayat M, Kollias D, Stefanov K and Tariq U (2024). 1M-Deepfakes Detection Challenge. Proceedings of the 32nd ACM International Conference on Multimedia. 28-10-2024
Ghosh S, Cai Z, Dhall A, Kollias D, Goecke R and Gedeon T (2024). MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing. Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing. 28-10-2024
Tao J, Ghosh S, Lian Z, Cai Z, Schuller BW, Dhall A, Zhao G, Kollias D, Cambria E, Goecke R and Gedeon T (2024). MRAC '24 Chairs' Welcome. MRAC 2024 - Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing 28-10-2024
Arsenos A, Petrongonas E, Filippopoulos O, Skliros C, Kollias D and Kollias S (2024). NEFELI: A deep-learning detection and tracking pipeline for enhancing autonomy in Advanced Air Mobility. Aerospace Science and Technology, Elsevier, 109613-109613. 24-09-2024
Miah H, Kollias D, Pedone GL, Provan D and Chen F (2024). Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study. Diagnostics, MDPI vol. 14 (13) 26-06-2024
Senadeera DC, Yang X, Kollias D and Slabaugh G (2024). CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 18-06-2024
Kollias D, Arsenos A and Kollias S (2024). Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 18-06-2024
Kollias D, Tzirakis P, Cowen A, Zafeiriou S, Kotsia I, Baird A, Gagne C, Shao C and Hu G (2024). The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 18-06-2024
Karampinis V, Arsenos A, Filippopoulos O, Petrongonas E, Skliros C, Kollias D, Kollias S and Voulodimos A (2024). Ensuring UAV Safety: A Vision-Only and Real-Time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation. 2024 International Conference on Unmanned Aircraft Systems (ICUAS). 07-06-2024
Arsenos A, Karampinis V, Petrongonas E, Skliros C, Kollias D, Kollias S and Voulodimos A (2024). Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection. IEEE Robotics and Automation Letters, Institute of Electrical and Electronics Engineers 03-06-2024
Hu G, Papadopoulou E, Kollias D, Tzouveli P, Wei J and Yang X (2024). Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis. 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). 31-05-2024
Gerogiannis D, Arsenos A, Kollias D, Nikitopoulos D and Kollias S (2024). Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI System. 2024 IEEE International Symposium on Biomedical Imaging (ISBI). 30-05-2024
Morani K, Ayana EK, Kollias D and Unay D (2024). COVID‐19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier. International Journal of Biomedical Imaging, Hindawi vol. 2024 (1) 24-05-2024
Arsenos A, Kollias D, Petrongonas E, Skliros C and Kollias S (2024). Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 19-04-2024
Kollias D, Sharmanska V and Zafeiriou S (2024). Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond. 24-03-2024
Hu G, Wei J, Song S, Kollias D, Yang X, Sun Z and Kaloidas O (2024). Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation. 2024 IEEE International Joint Conference on Biometrics (IJCB). 18-01-2024
Morani K, Ayana EK, Kollias D and Unay D (2024). Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier. Intelligent Computing 450-465. 01-01-2024
2023
Kollias D, Vendal K, Gadhavi P and Russom S (2023). BTDNet: A Multi-Modal Approach for Brain Tumor Radiogenomic Classification. Applied Sciences, MDPI vol. 13 (21) 02-11-2023
Kollias D, Arsenos A and Kollias S (2023). A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imaging. Neurocomputing, Elsevier vol. 542 01-07-2023
Arsenos A, Davidhi A, Kollias D, Prassopoulos P and Kollias S (2023). Data-Driven Covid-19 Detection Through Medical Imaging. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 10-06-2023
Kollias D, Arsenos A and Kollias S (2023). AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 10-06-2023
Chowdhury 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 (2023). CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, Elsevier BV vol. 3 (2), 100119-100119. 01-06-2023
Kollias D (2023). Ai-mia: Covid-19 detection & severity analysis through medical imaging. European Conference on Computer Vision (ECCV). 12-02-2023
Salpea N, Tzouveli P and Kollias D (2023). Medical Image Segmentation: A Review of Modern Architectures. Computer Vision – ECCV 2022 Workshops 691-708. 01-01-2023
Kollias D (2023). Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 01-01-2023
Kollias D (2023). Multi-Label Compound Expression Recognition: C-EXPR Database & Network. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 01-01-2023
2022
Arsenos A, Kollias D and Kollias S (2022). A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis. 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). 29-06-2022
Kollias D (2022). A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis. IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). 16-06-2022
Kollias D (2022). ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10-06-2022
Kollias D (2022). MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)). 10-06-2022
Papaioannou 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 (2022). MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis. 01-01-2022
2021
Kollias D, Arsenos A, Soukissian L and Kollias S (2021). MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). 17-10-2021
Kollias D and Zafeiriou S (2021). Analysing Affective Behavior in the second ABAW2 Competition. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). 17-10-2021
Yu M, Kollias D, Wingate J, Siriwardena N and Kollias S (2021). Machine Learning for Predictive Modelling of Ambulance Calls. Electronics, MDPI vol. 10 (4) 18-02-2021
Kollias D, Vlaxos Y, Seferis M, Kollia I, Sukissian L, Wingate J and Kollias S (2021). Transparent Adaptation in Deep Medical Image Diagnosis. 01-01-2021
2020
Kollias D, Schulc A, Hajiyev E and Zafeiriou S (2020). Analysing Affective Behavior in the First ABAW 2020 Competition. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020). 20-11-2020
Kollias D and Zafeiriou S (2020). Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset. IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers (IEEE) vol. 12 (3), 595-606. 04-08-2020
Xu J, Lytchier A, Cursio C, Kollias D, Besenbruch C and Zafar A (2020). Efficient Context-Aware Lossy Image Compression. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 19-06-2020
Kollias D, Cheng S, Ververas E, Kotsia I and Zafeiriou S (2020). Deep Neural Network Augmentation: Generating Faces for Affect Analysis. International Journal of Computer Vision, Springer Nature vol. 128 (5), 1455-1484. 22-02-2020
Kollias D and Zafeiriou S (2020). Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface. 01-01-2020
2019
Kollias D, Tzirakis P, Nicolaou MA, Papaioannou A, Zhao G, Schuller B, Kotsia I and Zafeiriou S (2019). Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. International Journal of Computer Vision, Springer Nature vol. 127 (6-7), 907-929. 13-02-2019
Kollias D, Cheng S, Pantic M and Zafeiriou S (2019). Photorealistic Facial Synthesis in the Dimensional Affect Space. 01-01-2019
2018
Kollias D and Zafeiriou S (2018). Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm. 2018 International Joint Conference on Neural Networks (IJCNN). 13-07-2018
Tagaris A, Kollias D, Stafylopatis A, Tagaris G and Kollias S (2018). Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark Dataset. International Journal of Artificial Intelligence Tools, World Scientific Publishing vol. 27 (03) 01-05-2018
2017
Kollias D, Tagaris A, Stafylopatis A, Kollias S and Tagaris G (2017). Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, Springer Nature vol. 4 (2), 119-131. 13-11-2017
Kollias D, Yu M, Tagaris A, Leontidis G, Kollias S and Stafylopatis A (2017). Adaptation and Contextualization of Deep Neural Network Models. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). 01-11-2017
Zafeiriou S, Kollias D, Nicolaou MA, Papaioannou A, Zhao G and Kotsia I (2017). Aff-Wild: Valence and Arousal ‘in-the-Wild’ Challenge. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 01-07-2017
Kollias D, Nicolaou MA, Kotsia I, Zhao G and Zafeiriou S (2017). Recognition of Affect in the Wild Using Deep Neural Networks. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 01-07-2017
Tagaris A, Kollias D and Stafylopatis A (2017). Assessment of Parkinson’s Disease Based on Deep Neural Networks. 01-01-2017
2016
Kollias D, Tagaris A and Stafylopatis A (2016). On Line Emotion Detection Using Retrainable Deep Neural Networks. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). 01-12-2016
2015
Kollias D, Marandianos G, Raouzaiou A and Stafvlonatis A-G (2015). Interweaving Deep Learning and Semantic Techniques for Emotion Analysis in Human-Machine Interaction. 2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP). 01-11-2015