Dimitris Kollias

Orcid: 0000-0002-8188-3751

According to our database1, Dimitris Kollias authored at least 49 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition.
CoRR, 2024

Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classification.
CoRR, 2023

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges.
CoRR, 2023

FaceRNET: a Facial Expression Intensity Estimation Network.
CoRR, 2023

A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging.
CoRR, 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, 2023

Multi-Label Compound Expression Recognition: C-EXPR Database & Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Medical Image Segmentation: A Review of Modern Architectures.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022


AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

ABAW: Learning from Synthetic Data & Multi-task Learning Challenges.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset.
IEEE Trans. Affect. Comput., 2021

Analysing Affective Behavior in the second ABAW2 Competition.
CoRR, 2021

Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study.
CoRR, 2021

Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework.
CoRR, 2021

Analysing Affective Behavior in the second ABAW2 Competition.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Deep Neural Network Augmentation: Generating Faces for Affect Analysis.
Int. J. Comput. Vis., 2020

Deep Transparent Prediction through Latent Representation Analysis.
CoRR, 2020

Transparent Adaptation in Deep Medical Image Diagnosis.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Analysing Affective Behavior in the First ABAW 2020 Competition.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Efficient Context-Aware Lossy Image Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

VA-StarGAN: Continuous Affect Generation.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020

2019
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond.
Int. J. Comput. Vis., 2019

Face Behavior à la carte: Expressions, Affect and Action Units in a Single Network.
CoRR, 2019

Emotion Generation and Recognition: A StarGAN Approach.
CoRR, 2019

Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild.
CoRR, 2019

Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild.
CoRR, 2019

Image Generation and Recognition (Emotions).
CoRR, 2019

AffWild Net and Aff-Wild Database.
CoRR, 2019

Aff-Wild Database and AffWildNet.
CoRR, 2019

Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset.
Int. J. Artif. Intell. Tools, 2018

A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions.
CoRR, 2018

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition.
CoRR, 2018

Generating faces for affect analysis.
CoRR, 2018

A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild.
CoRR, 2018

Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Photorealistic Facial Synthesis in the Dimensional Affect Space.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Adaptation and contextualization of deep neural network models.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Assessment of Parkinson's Disease Based on Deep Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2017

Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Recognition of Affect in the Wild Using Deep Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
On line emotion detection using retrainable deep neural networks.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction.
Proceedings of the 10th International Workshop on Semantic and Social Media Adaptation and Personalization, 2015


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