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Computer Science

D-Index
50
Citations
13942
World Ranking
5506
National Ranking
332

Overview

Ioannis Patras is a researcher affiliated with Queen Mary University of London in the United Kingdom. Their main field of study is Computer Science, with a specific focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Neurology, and Experimental and Cognitive Psychology.

The topics that characterize their research work include:

  • Face recognition and analysis
  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications

Patras has contributed extensively to scientific literature, publishing in various venues with repeated contributions particularly to arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Circuits and Systems for Video Technology, International Journal of Computer Vision, and the Scandinavian Journal of Urology.

Among their recent papers are:

  • AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization (2020), IEEE Transactions on Circuits and Systems for Video Technology
  • WarpedGANSpace: Finding non-linear RBF paths in GAN latent space (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval (2022), International Journal of Computer Vision
  • Video Summarization Using Deep Neural Networks: A Survey (2021), Proceedings of the IEEE
  • Adaptive Soft Contrastive Learning (2022), 2022 26th International Conference on Pattern Recognition (ICPR)

Their collaborative work involves frequent coauthors including Christos Tzelepis, Georgios Tzimiropoulos, Vasileios Mezaris, Ioannis Kompatsiaris, and Evlampios Apostolidis.

In addition to journal and conference papers, Patras has contributed to book publications. Both books were published by Springer Science+Business Media in 2021 under the title MultiMedia Modeling.

Best Publications

  • DEAP: A Database for Emotion Analysis ;Using Physiological Signals

    S. Koelstra;C. Muhl;M. Soleymani;Jong-Seok Lee

  • Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences

    M. Pantic;I. Patras

  • AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups

    Juan Abdon Miranda-Correa;Mojtaba Khomami Abadi;Nicu Sebe;Ioannis Patras

  • DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses

    Mojtaba Khomami Abadi;Ramanathan Subramanian;Seyed Mostafa Kia;Paolo Avesani

  • A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models

    Sander Koelstra;Maja Pantic;Ioannis Patras

  • Fusion of facial expressions and EEG for implicit affective tagging

    Sander Koelstra;Ioannis Patras

  • Spatiotemporal salient points for visual recognition of human actions

    A. Oikonomopoulos;I. Patras;M. Pantic

  • Video Summarization Using Deep Neural Networks: A Survey

    Evlampios Apostolidis;Eleni Adamantidou;Alexandros I. Metsai;Vasileios Mezaris

  • Single trial classification of EEG and peripheral physiological signals for recognition of emotions induced by music videos

    Sander Koelstra;Ashkan Yazdani;Mohammad Soleymani;Christian Mühl

  • Video segmentation by MAP labeling of watershed segments

    I. Patras;E.A. Hendriks;R.L. Lagendijk

  • Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data

    M.F. Valstar;I. Patras;M. Pantic

  • Coupled Gaussian processes for pose-invariant facial expression recognition

    Ognjen Rudovic;Maja Pantic;Ioannis Patras

  • Tensor Learning for Regression

    Weiwei Guo;I. Kotsia;I. Patras

  • Motion history for facial action detection in video

    M. Valstar;M. Pantic;I. Patras

  • Particle filtering with factorized likelihoods for tracking facial features

    I. Patras;M. Pantic

  • Detecting facial actions and their temporal segments in nearly frontal-view face image sequences

    M. Pantic;I. Patras

  • TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition

    Mina Bishay;Georgios Zoumpourlis;Ioannis Patras

  • Combining color and shape information for illumination-viewpoint invariant object recognition

    A. Diplaros;T. Gevers;I. Patras

  • Unsupervised convolutional neural networks for motion estimation

    Aria Ahmadi;Ioannis Patras

  • Combining Global and Local Attention with Positional Encoding for Video Summarization

    Unknown

  • Sieving Regression Forest Votes for Facial Feature Detection in the Wild

    Heng Yang;Ioannis Patras

Frequent Co-Authors

Ioannis Kompatsiaris
Ioannis Kompatsiaris Information Technologies Institute, Greece
Maja Pantic
Maja Pantic Imperial College London
Hatice Gunes
Hatice Gunes University of Cambridge
Symeon Papadopoulos
Symeon Papadopoulos Information Technologies Institute, Greece
Reginald L. Lagendijk
Reginald L. Lagendijk Delft University of Technology
Edwin R. Hancock
Edwin R. Hancock University of York
Michel Valstar
Michel Valstar University of Nottingham
Marcel Worring
Marcel Worring University of Amsterdam
Nicu Sebe
Nicu Sebe University of Trento
Yiannis Andreopoulos
Yiannis Andreopoulos University College London

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