Dimitrios Kollias

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 72

Top Topics

Object Detection

Top Venues

ECCV Workshops (7)

Int. J. Comput. Vis.

Publications

Demetris Gerogiannis, Anastasios Arsenos, Dimitrios Kollias, Dimitris Nikitopoulos, Stefanos D. Kollias
COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System. CoRR (2024)
Dimitrios Kollias, Anastasios Arsenos, James Wingate, Stefanos D. Kollias
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection. CoRR (2024)
Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen, Stefanos Zafeiriou, Irene Kotsia, Alice Baird, Chris Gagne, Chunchang Shao, Guanyu Hu
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition. CoRR (2024)
Guanyu Hu, Jie Wei, Siyang Song, Dimitrios Kollias, Xinyu Yang, Zhonglin Sun, Odysseus Kaloidas
Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation. CoRR (2024)
Anastasios Arsenos, Vasileios Karampinis, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos D. Kollias, Athanasios Voulodimos
Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object Detection. IEEE Robotics Autom. Lett. 9 (7) (2024)
Vasileios Karampinis, Anastasios Arsenos, Orfeas Filippopoulos, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos D. Kollias, Athanasios Voulodimos
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation. CoRR (2024)
Damith Chamalke Senadeera, Xiaoyun Yang, Dimitrios Kollias, Gregory G. Slabaugh
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention. CoRR (2024)
Guanyu Hu, Eleni Papadopoulou, Dimitrios Kollias, Paraskevi K. Tzouveli, Jie Wei, Xinyu Yang
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis. CoRR (2024)
Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou
Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond. AAAI (2024)
Haroon Miah, Dimitrios Kollias, Giacinto Luca Pedone, Drew Provan, Frederick Chen
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study. CoRR (2024)
Kenan Morani, Esra Kaya Ayana, Dimitrios Kollias, Devrim Ünay
COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier. Int. J. Biomed. Imaging 2024 (2024)
Dimitrios Kollias, Stefanos Zafeiriou, Irene Kotsia, Abhinav Dhall, Shreya Ghosh, Chunchang Shao, Guanyu Hu
7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition. CoRR (2024)
Guanyu Hu, Eleni Papadopoulou, Dimitrios Kollias, Paraskevi K. Tzouveli, Jie Wei, Xinyu Yang
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis. FG (2024)
Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond. CoRR (2024)
Anastasios Arsenos, Vasileios Karampinis, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos D. Kollias, Athanasios Voulodimos
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection. CoRR (2024)
Dimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans. CoRR (2024)
Anastasios Arsenos, Dimitrios Kollias, Evangelos Petrongonas, Christos Skliros, Stefanos D. Kollias
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation. CoRR (2024)
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, Stefanos Zafeiriou
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges. CoRR (2023)
Dimitrios Kollias, Anastasios Arsenos, Stefanos Kollias
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging. CoRR (2023)
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, Stefanos Zafeiriou
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges. CVPR Workshops (2023)
Dimitrios Kollias
Multi-Label Compound Expression Recognition: C-EXPR Database & Network. CVPR (2023)
Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos, Paraskeui Antonia Theofilou
FaceRNET: a Facial Expression Intensity Estimation Network. CoRR (2023)
Dimitrios Kollias, Karanjot Vendal, Priyanka Gadhavi, Solomon Russom
BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classification. CoRR (2023)
Dimitrios Kollias
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges. CVPR Workshops (2022)
Dimitrios Kollias
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges. CoRR (2022)
Athanasios Papaioannou, Baris Gecer, Shiyang Cheng, Grigorios Chrysos, Jiankang Deng, Eftychia Fotiadou, Christos Kampouris, Dimitrios Kollias, Stylianos Moschoglou, Kritaphat Songsri-in, Stylianos Ploumpis, George Trigeorgis, Panagiotis Tzirakis, Evangelos Ververas, Yuxiang Zhou, Allan Ponniah, Anastasios Roussos, Stefanos Zafeiriou
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis. ECCV (8) (2022)
Anastasios Arsenos, Dimitrios Kollias, Stefanos Kollias
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis. IVMSP (2022)
Natalia Salpea, Paraskevi K. Tzouveli, Dimitrios Kollias
Medical Image Segmentation: A Review of Modern Architectures. ECCV Workshops (7) (2022)
Dimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias
AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging. ECCV Workshops (7) (2022)
Andreas Psaroudakis, Dimitrios Kollias
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition. CoRR (2022)
Andreas Psaroudakis, Dimitrios Kollias
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition. CVPR Workshops (2022)
Dimitrios Kollias
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges. CoRR (2022)
Dimitrios Kollias
ABAW: Learning from Synthetic Data & Multi-task Learning Challenges. ECCV Workshops (6) (2022)
Dimitrios Kollias, Anastasios Arsenos, Levon Soukissian, Stefanos D. Kollias
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis. ICCVW (2021)
Dimitrios Kollias, Stefanos Zafeiriou
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework. CoRR (2021)
Dimitrios Kollias, Irene Kotsia, Elnar Hajiyev, Stefanos Zafeiriou
Analysing Affective Behavior in the second ABAW2 Competition. CoRR (2021)
Dimitrios Kollias, Stefanos Zafeiriou
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset. IEEE Trans. Affect. Comput. 12 (3) (2021)
Dimitrios Kollias, Stefanos Zafeiriou
Analysing Affective Behavior in the second ABAW2 Competition. ICCVW (2021)
Dimitrios Kollias, Anastasios Arsenos, Levon Soukissian, Stefanos D. Kollias
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis. CoRR (2021)
Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study. CoRR (2021)
Dimitrios Kollias, N. Bouas, Y. Vlaxos, V. Brillakis, M. Seferis, Ilianna Kollia, Levon Sukissian, James Wingate, Stefanos D. Kollias
Deep Transparent Prediction through Latent Representation Analysis. CoRR (2020)
Dimitrios Kollias, Shiyang Cheng, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou
Deep Neural Network Augmentation: Generating Faces for Affect Analysis. Int. J. Comput. Vis. 128 (5) (2020)
Dimitrios Kollias, Stefanos Zafeiriou
VA-StarGAN: Continuous Affect Generation. ACIVS (2020)
Dimitrios Kollias, Attila Schulc, Elnar Hajiyev, Stefanos Zafeiriou
Analysing Affective Behavior in the First ABAW 2020 Competition. FG (2020)
Jan Xu, Alex Lytchier, Ciro Cursio, Dimitrios Kollias, Chri Besenbruch, Arsalan Zafar
Efficient Context-Aware Lossy Image Compression. CVPR Workshops (2020)
Dimitrios Kollias, Attila Schulc, Elnar Hajiyev, Stefanos Zafeiriou
Analysing Affective Behavior in the First ABAW 2020 Competition. CoRR (2020)
Dimitrios Kollias, Stefanos Zafeiriou
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset. CoRR (2019)
Valentin Richer, Dimitrios Kollias
Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild. CoRR (2019)
Mengyao Liu, Dimitrios Kollias
Aff-Wild Database and AffWildNet. CoRR (2019)
Xia Yicheng, Dimitrios Kollias
Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild. CoRR (2019)
Dimitrios Kollias, Stefanos Zafeiriou
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace. CoRR (2019)
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn W. Schuller, Irene Kotsia, Stefanos Zafeiriou
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. Int. J. Comput. Vis. 127 (6-7) (2019)
Dimitrios Kollias, Stefanos Zafeiriou
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace. BMVC (2019)
Aritra Banerjee, Dimitrios Kollias
Emotion Generation and Recognition: A StarGAN Approach. CoRR (2019)
Alvertos Benroumpi, Dimitrios Kollias
AffWild Net and Aff-Wild Database. CoRR (2019)
Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou
Face Behavior à la carte: Expressions, Affect and Action Units in a Single Network. CoRR (2019)
Hanne Carlsson, Dimitrios Kollias
Image Generation and Recognition (Emotions). CoRR (2019)
Dimitrios Kollias, Stefanos Zafeiriou
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition. CoRR (2018)
Dimitrios Kollias, Stefanos Zafeiriou
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm. CoRR (2018)
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn W. Schuller, Irene Kotsia, Stefanos Zafeiriou
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond. CoRR (2018)
Dimitrios Kollias, Shiyang Cheng, Maja Pantic, Stefanos Zafeiriou
Photorealistic Facial Synthesis in the Dimensional Affect Space. ECCV Workshops (2) (2018)
Dimitrios Kollias, Stefanos Zafeiriou
A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild. CoRR (2018)
Dimitrios Kollias, Stefanos Zafeiriou
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm. IJCNN (2018)
Dimitrios Kollias, Shiyang Cheng, Maja Pantic, Stefanos Zafeiriou
Photorealistic Facial Synthesis in the Dimensional Affect Space. CoRR (2018)
Dimitrios Kollias, Stefanos Zafeiriou
A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions. CoRR (2018)
Dimitrios Kollias, Shiyang Cheng, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou
Generating faces for affect analysis. CoRR (2018)
Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis, Georgios L. Tagaris, Stefanos D. Kollias
Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset. Int. J. Artif. Intell. Tools 27 (3) (2018)
Dimitrios Kollias, Mihalis A. Nicolaou, Irene Kotsia, Guoying Zhao, Stefanos Zafeiriou
Recognition of Affect in the Wild Using Deep Neural Networks. CVPR Workshops (2017)
Stefanos Zafeiriou, Dimitrios Kollias, Mihalis A. Nicolaou, Athanasios Papaioannou, Guoying Zhao, Irene Kotsia
Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge. CVPR Workshops (2017)
Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis
Assessment of Parkinson's Disease Based on Deep Neural Networks. EANN (2017)
Dimitrios Kollias, Miao Yu, Athanasios Tagaris, Georgios Leontidis, Andreas Stafylopatis, Stefanos D. Kollias
Adaptation and contextualization of deep neural network models. SSCI (2017)
Dimitrios Kollias, Athanasios Tagaris, Andreas Stafylopatis
On line emotion detection using retrainable deep neural networks. SSCI (2016)