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School of Electronic Engineering and Computer Science

Professor Ioannis Patras, BSc MSc ,PhD SMIEEE

Ioannis

Professor of Computer Vision and Human Sensing

Email: i.patras@qmul.ac.uk
Telephone: +44 20 7882 7523
Room Number: Engineering, Eng 211
Website: http://www.eecs.qmul.ac.uk/~ioannisp
Office Hours: Tuesday 14:15-16:15

Teaching

Machine Learning (Postgraduate/Undergraduate)

The aim of the module is to give students an understanding of machine learning methods, including pattern recognition, clustering and neural networks, and to allow them to apply such methods in a range of areas.

Machine Learning for Visual Data Analysis (Postgraduate/Undergraduate)

The module will cover the following topics: The Discrete Fourier Transform and the frequency content of images. The design and use of Gabor filters. Principal Component Analysis for denoising and compression. Unsupervised classification via feature space clustering. Texture segmentation with Gabor filters.

Research

Research Interests:

My research experience lies mainly in the areas of Computer Vision, Image Processing and Pattern Recognition, and their applications in Multimedia Analysis, Visual Communications and Multimodal Man Machine Interaction. My recent research focuses on Human Sensining and Facial And Body Gesture Analysis, Tracking and Recognition.

Keywords: Face and Gesture Recognition, Tracking, Facial (Expression) Analysis, Human Motion Recognition, Behaviour Analysis, Human Sensing, EEG Analysis, Multimedia Indexing.

Publications

    • Apostolidis E, Balaouras G, Mezaris V et al. (2022), Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames $nameOfConference


    • Kordopatis-Zilos G, Tzelepis C, Papadopoulos S et al. (2022), DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval $nameOfConference


    • Apostolidis E, Adamantidou E, Metsai AI et al. (2021), Video Summarization Using Deep Neural Networks: A Survey $nameOfConference


    • Foteinopoulou NM, TZELEPIS C, Patras I (2021), Estimating continuous affect with label uncertainty 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)


    • Zoumpourlis G, Patras I (2021), Pairwise Ranking Network for Affect Recognition 9th International Conference on Affective Computing and Intelligent Interaction (ACII 2021)


    • Apostolidis E, Adamantidou E, Mezaris V et al. (2021), Combining adversarial and reinforcement learning for video thumbnail selection $nameOfConference


    • Xie TT, Tzelepis C, Fu F et al. (2021), Few-shot action localization without knowing boundaries $nameOfConference


    • Apostolidis E, Balaouras G, Mezaris V et al. (2021), Combining Global and Local Attention with Positional Encoding for Video Summarization $nameOfConference


    • Lokoč J, Skopal T, Schoeffmann K et al. (2021), Preface $nameOfConference

    • Tzelepis C, Tzimiropoulos G, Patras I (2021), WarpedGANSpace: Finding non-linear RBF paths in GAN latent space $nameOfConference


    • Apostolidis E, Adamantidou E, Metsai A et al. (2020), AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization $nameOfConference


    • Apostolidis E, Adamantidou E, Metsai AI et al. (2020), Performance over Random Proceedings of the 28th ACM International Conference on Multimedia


    • Apostolidis E, Adamantidou E, Metsai AI et al. (2020), Performance over Random: A Robust Evaluation Protocol for Video Summarization Methods $nameOfConference


    • Xie T, Tzelepis C, Patras I (2020), Boundary Uncertainty in a Single-Stage Temporal Action Localization Network. $nameOfConference

    • Batziou E, Alvanitopoulos P, Ioannidis K et al. (2020), Cycle-consistent adversarial networks and fast adaptive Bi-dimensional empirical mode decomposition for style transfer $nameOfConference


    • Gkalelis N, Markatopoulou F, Moumtzidou A et al. (2020), ITI-CERTH participation to TRECVID 2014 $nameOfConference

    • Markatopoulou F, Ioannidou A, Tzelepis C et al. (2020), ITI-CERTH participation to TRECVID 2015 $nameOfConference

    • Xie T-T, Tzelepis C, Patras I (2020), Temporal Action Localization with Variance-Aware Networks. $nameOfConference

    • Apostolidis E, Adamantidou E, Metsai A et al. (2020), Unsupervised Video Summarization via Attention-Driven Adversarial Learning 26th Int. Conf. on Multimedia Modeling (MMM2020)


    • Kordopatis-Zilos G, Papadopoulos S, Patras I et al. (2019), ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning International Conference on Computer Vision

    • Apostolidis E, Metsai AI, Adamantidou E et al. (2019), A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization the 1st International Workshop


    • Kordopatis-Zilos G, Papadopoulos S, Patras I et al. (2019), ViSiL: Fine-grained spatio-temporal video similarity learning $nameOfConference


    • Mercier G, MARKATOPOULOU F, Cozien R et al. (publicationYear), Detecting Manipulations in Video $nameOfConference


    • Kordopatis-Zilos G, Papadopoulos S, Patras I et al. (2019), Finding Near-Duplicate Videos in Large-Scale Collections $nameOfConference


    • MARKATOPOULOU F, Zampoglou M, Apostolidis E et al. (publicationYear), Finding Semantically Related Videos in Closed Collections $nameOfConference


    • Apostolidis E, Apostolidis K, Patras I et al. (publicationYear), Video Fragmentation and Reverse Search on the Web $nameOfConference


    • Bishay M, Zoumpourlis G, Patras I (2019), TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition 30th British Machine Vision Conference

    • Xie T, Yang X, Zhang T et al. (2019), Exploring Feature Representation and Training Strategies in Temporal Action Localization $nameOfConference


    • Mou W, Gunes H, Patras I (2019), Alone versus in-a-group: A multi-modal framework for automatic affect recognition $nameOfConference


    • Jang Y, Gunes H, Patras I (2019), Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild $nameOfConference


    • Mou W, Gunes H, Patras I (2019), Your fellows matter: Affect analysis across subjects in group videos $nameOfConference


    • BISHAY MAT, PATRAS I, PRIEBE S (2019), CAN AUTOMATIC FACIAL EXPRESSION ANALYSIS BE USED FOR TREATMENT OUTCOME ESTIMATION IN SCHIZOPHRENIA? IEEE International Conference on Acoustics, Speech and Signal Processing


    • Bishay M, PALASEK P, PRIEBE S et al. (2019), SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis. $nameOfConference


    • Kordopatis-Zilos G, Papadopoulos S, Patras I et al. (2019), FIVR: Fine-grained Incident Video Retrieval. $nameOfConference


    • Zampoglou M, Markatopoulou F, Mercier G et al. (2019), Detecting Tampered Videos with Multimedia Forensics and Deep Learning 25th International Conference on MultiMedia Modeling


    • Nixon L, Apostolidis E, Markatopoulou F et al. (2019), Multimodal Video Annotation for Retrieval and Discovery of Newsworthy Video in a News Verification Scenario 25th International Conference on MultiMedia Modeling


    • Mou W, Gunes H, Patras I (2019), Alone versus In-a-group: A Multi-modal Framework for Automatic Affect Recognition. $nameOfConference


    • Markatopoulou F, Galanopoulos D, Tzelepis C et al. (2019), Concept-Based and Event-Based Video Search in Large Video Collections $nameOfConference


    • Marras I, Palasek P, Patras I (2019), Deep Mixture of MRFs for Human Pose Estimation $nameOfConference


    • Xie T, Yang X, Zhang T et al. (2019), Exploring Feature Representation and Training strategies in Temporal Action Localization. $nameOfConference

    • Kordopatis-Zilos G, Papadopoulos S, Patras I et al. (2019), FIVR: Fine-Grained Incident Video Retrieval. $nameOfConference


    • Ahmadi A, Marras I, Patras I (2019), LikeNet: A Siamese motion estimation network trained in an unsupervised way $nameOfConference

    • Jang Y, Gunes H, Patras I (2019), Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild. $nameOfConference

    • Bishay M, Zoumpourlis G, Patras I (2019), TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition. $nameOfConference

    • Tao Y, Ling Z, Patras I (2019), Universal Foreground Segmentation Based on Deep Feature Fusion Network for Multi-Scene Videos $nameOfConference


    • Andreadis S, Moumtzidou A, Galanopoulos D et al. (2019), Verge in VBS 2019 $nameOfConference


    • Miranda Correa JA, Abadi MK, Sebe N et al. (2018), AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups $nameOfConference


    • Mou W, Tzelepis C, Mezaris V et al. (2018), A deep generic to specific recognition model for group membership analysis using non-verbal cues $nameOfConference


    • Markatopoulou F, Mezaris V, Patras I (2018), Implicit and Explicit Concept Relations in Deep Neural Networks for Multi-Label Video/Image Annotation $nameOfConference


    • Mioranda-Correa JA, Patras I (2018), A multi-task cascaded network for prediction of affect, personality, mood and social context using EEG signals $nameOfConference


    • Vasilyev A, Hansard M, Mareschal I et al. (2018), A Model of Visual Search in the Presence of Age-Related Macular Degeneration Proceedings of the AVA Christmas meeting

    • Tzelepis C, Mezaris V, Patras I (2018), Linear Maximum Margin Classifier for Learning from Uncertain Data. $nameOfConference


    • Apostolidis K, Markatopoulou F, Tzelepis C et al. (2018), Multimedia processing essentials $nameOfConference


    • Palasek P, Patras I (2018), Semi-supervised Fisher vector network. $nameOfConference

    • Moumtzidou A, Andreadis S, Markatopoulou F et al. (2018), Verge in VBS 2018 $nameOfConference


    • Batziou E, Michail E, Avgerinakis K et al. (2018), Visual and audio analysis of movies video for emotion detection @ Emotional Impact of Movies task MediaEval 2018 $nameOfConference

    • MARRAS I, PALASEK P, PATRAS I (2017), Deep globally constrained MRFs for Human Pose Estimation IEEE International Conference on Computer Vision (ICCV)


    • TZELEPIS C, PATRAS, MEZARIS, V (2017), Linear Maximum Margin Classifier for Learning from Uncertain Data $nameOfConference


    • KORDOPATIS-ZILOS G, Papadopoulos S, PATRAS I et al. (2017), Near-Duplicate Video Retrieval with Deep Metric Learning Web-scale Vision and Social Media (VSM), ICCV 2017


    • Tao Y, Palasek P, Ling Z et al. (2017), Background modelling based on generative unet $nameOfConference


    • Palasek P, Patras I (2017), Discriminative convolutional Fisher vector network for action recognition $nameOfConference

    • Jang Y, Gunes H, Patras I (2017), SmileNet: Registration-Free Smiling Face Detection in the Wild $nameOfConference


    • Marras I, Palasek P, Patras I (2017), Deep Refinement Convolutional Networks for Human Pose Estimation $nameOfConference


    • Bishay M, Patras I (2017), Fusing Multilabel Deep Networks for Facial Action Unit Detection Automatic Face & Gesture Recognition (FG 2017)


    • Mou W, Tzelepis C, Mezaris V et al. (2017), Generic to Specific Recognition Models for Membership Analysis in Group Videos $nameOfConference


    • Galanopoulos D, Markatopoulou F, Mezaris V et al. (2017), Concept language models and event-based concept number selection for zero-example event detection $nameOfConference


    • Markatopoulou F, Galanopoulos D, Mezaris V et al. (2017), Query and keyframe representations for ad-hoc video search $nameOfConference


    • Collyda C, Apostolidis E, Pournaras A et al. (2017), VideoAnalysis4ALL: An on-line tool for the automatic fragmentation and concept-based annotation, and the interactive exploration of videos $nameOfConference


    • Pittaras N, Markatopoulou F, Mezaris V et al. (2017), Comparison of fine-tuning and extension strategies for deep convolutional neural networks $nameOfConference


    • Vrochidis S, Patras I, Kompatsiaris I (2017), Gaze movement-driven random forests for query clustering in automatic video annotation $nameOfConference


    • Markatopoulou F, Moumtzidou A, Galanopoulos D et al. (2017), ITI-CERTH participation in TRECVID 2017 $nameOfConference

    • KORDOPATIS-ZILOS G, Papadopoulos S, Patras I et al. (2017), Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers International Conference on Multimedia Modeling


    • Moumtzidou A, Mironidis T, Markatopoulou F et al. (2017), VERGE in VBS 2017 $nameOfConference


    • Mou W, Gunes H, Patras I (2016), Automatic Recognition of Emotions and Membership in Group Videos $nameOfConference


    • Kotsia I, Zafeiriou S, Goudelis G et al. (2016), Multimodal Sensing in Affective Gaming $nameOfConference


    • Mou W, Gunes H, Patras I (2016), Alone versus in-a-group: A comparative analysis of facial affect recognition $nameOfConference


    • Markatopoulou F, Mezaris V, Patras I (2016), Deep multi-task learning with label correlation constraint for video concept detection $nameOfConference


    • AHMADI A, Patras I (2016), UNSUPERVISED CONVOLUTIONAL NEURAL NETWORKS FOR MOTION ESTIMATION Image Processing (ICIP), 2016 IEEE International Conference on


    • Markatopoulou F, Mezaris V, Patras I (2016), Online multi-task learning for semantic concept detection in video $nameOfConference


    • Ahmadi A, Patras I (2016), Unsupervised convolutional neural networks for motion estimation $nameOfConference


    • Tzelepis C, Mavridaki E, Mezaris V et al. (2016), Video aesthetic quality assessment using kernel Support Vector Machine with isotropic Gaussian sample uncertainty (KSVM-IGSU) $nameOfConference


    • Stefic D, Patras I (2016), Action recognition using saliency learned from recorded human gaze $nameOfConference


    • Palasek P, Patras I (2016), Action recognition using convolutional restricted boltzmann machines $nameOfConference


    • Wang L, Patras I, Zhang J et al. (2016), Special Issue on Individual and Group Activities in Video Event Analysis $nameOfConference


    • Markatopoulou F, Galanopoulos D, Patras I et al. (2016), ITI-CERTH in TRECVID 2016 Ad-hoc video search (AVS) $nameOfConference

    • Markatopoulou F, Moumtzidou A, Galanopoulos D et al. (2016), ITI-CERTH participation in TRECVID 2016 $nameOfConference

    • Tzelepis C, Galanopoulos D, Mezaris V et al. (2016), Learning to detect video events from zero or very few video examples. $nameOfConference


    • Kuranuki Y, Patras I (2016), Minimal filtered channel features for pedestrian detection $nameOfConference


    • Markatopoulou F, Mezaris V, Patras I (2016), Ordering of visual descriptors in a classifier cascade towards improved video concept detection $nameOfConference


    • Moumtzidou A, Mironidis T, Apostolidis E et al. (2016), Verge: A multimodal interactive search engine for video browsing and retrieval $nameOfConference


    • Tzelepis C, Mezaris V, Patras I (2016), Video event detection using kernel support vector machine with isotropic gaussian sample uncertainty (KSVM-iGSU) $nameOfConference


    • Markatopoulou F, Mezaris V, Patras I (2015), Cascade of classifiers based on binary, non-binary and deep convolutional network descriptors for video concept detection $nameOfConference


    • Chen M, Han J, Guo L et al. (2015), Identifying valence and arousal levels via connectivity between EEG channels $nameOfConference


    • Kalpakis G, Tsikrika T, Markatopoulou F et al. (2015), Concept detection in multimedia web resources about home made explosives $nameOfConference


    • Yang H, Patras I (2015), Mirror, mirror on the wall, tell me, is the error small? $nameOfConference


    • Tzelepis C, Galanopoulos D, Mezaris V et al. (2015), Learning to detect video events from zero or very few video examples $nameOfConference


    • Yang H, Jia X, Patras I et al. (2015), Random Subspace Supervised Descent Method for Regression Problems in Computer Vision $nameOfConference


    • Yang H, Patras I (2015), Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection $nameOfConference


    • Yang H, He X, Jia X et al. (2015), Robust face alignment under occlusion via regional predictive power estimation $nameOfConference


    • Palasek P, Yang H, Xu Z et al. (2015), A flexible calibration method of multiple Kinects for 3D human reconstruction $nameOfConference


    • Abadi MK, Correa JAM, Wache J et al. (2015), Inference of personality traits and affect schedule by analysis of spontaneous reactions to affective videos $nameOfConference


    • Gu L, Kanade T (2015), Face Alignment $nameOfConference


    • Patras I (2015), Face Pose Analysis $nameOfConference


    • Abadi MK, Subramanian R, Kia SM et al. (2015), DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses $nameOfConference


    • Yang H, Zou C, Patras I (2015), Cascade of forests for face alignment $nameOfConference


    • Markatopoulou F, Mezaris V, Pittaras N et al. (2015), Local Features and a Two-Layer Stacking Architecture for Semantic Concept Detection in Video $nameOfConference


    • Yang H, Patras I (2015), Fine-tuning regression forests votes for object alignment in the wild $nameOfConference


    • Markatopoulou F, Pittaras N, Papadopoulou O et al. (2015), A study on the use of a binary local descriptor and color extensions of local descriptors for video concept detection $nameOfConference


    • Yang H, Mou W, Zhang Y et al. (2015), Face Alignment Assisted by Head Pose Estimation $nameOfConference


    • Yang H, Mou W, Zhang Y et al. (2015), Face Alignment Assisted by Head Pose Estimation. $nameOfConference

    • Markatopoulou F, Loannidou A, Tzelepis C et al. (2015), ITI-CERTH participation to TRECVID 2015 $nameOfConference

    • Abadi MK, Correa JAM, Wache J et al. (2015), Inference of Personality Traits and Affect Schedule by Analysis of Spontaneous Reactions to Affective Videos $nameOfConference

    • Yang H, Patras I (2015), Mirror, mirror on the wall, tell me, is the error small? $nameOfConference

    • Patras MV, BǍnacu CS, Popescu AM et al. (2015), The effect of limiting the right of appeal on the quality of the public procurement management system: Case study of Romania $nameOfConference

    • Moumtzidou A, Avgerinakis K, Apostolidis E et al. (2015), VERGE: A multimodal interactive video search engine $nameOfConference


    • Kaymak S, Patras I (2014), Multimodal random forest based tensor regression $nameOfConference


    • Burelli P, Triantafyllidis G, Patras I (2014), Non-invasive player experience estimation from body motion and game context $nameOfConference


    • Stefic D, Patras I (2014), Learning visual saliency using topographic independent component analysis $nameOfConference


    • Yang H, Zou C, Patras I (2014), Face sketch landmarks localization in the wild $nameOfConference


    • Stefic D, Patras I (2014), Learning visual saliency using topographic independent component analysis $nameOfConference


    • Jia X, Yang H, Chan K-P et al. (2014), Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning Proceedings of the British Machine Vision Conference 2014


    • Vijay Kumar BG, Patras I (2013), Supervised dictionary learning for action localization $nameOfConference


    • Nikolopoulos S, Zafeiriou S, Patras I et al. (2013), High order pLSA for indexing tagged images $nameOfConference


    • Rudovic O, Pantic M, Patras IY (2013), Coupled Gaussian Processes for Pose-Invariant Facial Expression Recognition $nameOfConference


    • Kaymak S, Patras I (2013), Exploiting depth and intensity information for head pose estimation with random forests and tensor models $nameOfConference


    • Kotsia I, Patras I (2013), Exploring the similarities of neighboring spatiotemporal points for action pair matching $nameOfConference


    • Koelstra S, Patras I (2013), Fusion of facial expressions and EEG for implicit affective tagging $nameOfConference


    • Yang H, Patras I (2013), Privileged information-based Conditional Regression Forests for Facial Feature Detection $nameOfConference


    • Guo W, Hu W, Boulgouris NV et al. (2013), Semi-supervised visual recognition with constrained graph regularized non negative matrix factorization $nameOfConference


    • Yang H, Patras I (2013), Sieving regression forest votes for facial feature detection in the wild $nameOfConference


    • Kotsia I, Guo W, Patras I (2012), Higher rank support tensor machines for visual recognition $nameOfConference


    • Oveisi F, Oveisi S, Efranian A et al. (2012), Nonlinear Independent Component Analysis for EEG-Based Brain-Computer Interface Systems $nameOfConference


    • Kotsia I, Guo W, Patras I (2012), Higher rank support tensor machines $nameOfConference


    • Vrochidis S, Patras I, Kompatsiaris I (2012), Exploiting gaze movements for automatic video annotation $nameOfConference


    • Kumar BGV, Patras I (2012), Learning codebook weights for action detection $nameOfConference


    • Chatzilari E, Nikolopoulos S, Patras I et al. (2012), Leveraging social media for scalable object detection $nameOfConference


    • Kotsia I, Patras I, Fotopoulos S (2012), Affective gaming: Beyond using sensors $nameOfConference


    • Nikolopoulos S, Papadopoulos GT, Kompatsiaris I et al. (2012), Image interpretation by combining ontologies and Bayesian networks $nameOfConference


    • Kumar BGV, Kotsia I, Patras I (2012), Max-margin Non-negative Matrix Factorization $nameOfConference


    • Guo W, Kotsia I, Patras I (2012), Tensor learning for regression. $nameOfConference


    • Yang H, Liu X, Patras I (2012), A Simple and Effective Extrinsic Calibration Method of a Camera and a Single Line Scanning Lidar ICPR 2012

    • Yang H, Zhang Y, Liu X et al. (2012), Coupled 3D Tracking and Pose Optimization of Rigid Objects Using Particle Filter ICPR 2012

    • Koelstra S, Muhl C, Soleymani M et al. (2012), DEAP: A Database for Emotion Analysis Using Physiological Signals $nameOfConference


    • Yang H, Patras I (2012), Face Parts Localization Using Structured-output Regression Forests ACCV 2012


    • Kotsia I, Patras I, IEEE (2012), SUPPORT TENSOR ACTION SPOTTING $nameOfConference


    • Oveisi F, Oveisi S, Efranian A et al. (2012), Tree-Structured Feature Extraction Using Mutual Information $nameOfConference


    • Nikolopoulos S, Papadopoulos GT, Kompatsiaris I et al. (2011), Evidence-driven image interpretation by combining implicit and explicit knowledge in a Bayesian network. $nameOfConference


    • Vrochidis S, Patras I, Kompatsiaris I (2011), An eye-tracking-based approach to facilitate interactive video search $nameOfConference


    • Vrochidis S, Kompatsiaris I, Patras I (2011), Utilizing implicit user feedback to improve interactive video retrieval $nameOfConference


    • Soleymani M, Koelstra S, Patras I et al. (2011), Continuous emotion detection in response to music videos $nameOfConference


    • Oikonomopoulos A, Patras I, Pantic M (2011), Spatiotemporal localization and categorization of human actions in unsegmented image sequences. $nameOfConference


    • Chatzilari E, Nikolopoulos S, Patras I et al. (2011), Enhancing computer vision using the collective intelligence of social media $nameOfConference


    • Nikolopoulos S, Giannakidou E, Kompatsiaris I et al. (2011), Combining Multi-modal Features for Social Media Analysis $nameOfConference


    • Guo W, Kotsia I, Patras I (2011), Higher order Support tensor regression for head pose estimation $nameOfConference

    • Moumtzidou A, Sidiropoulos P, Vrochidis S et al. (2011), ITI-CERTH participation to TRECVID 2011 $nameOfConference

    • Vijay Kumar BG, Kotsia I, Patras I (2011), Max-margin semi-NMF $nameOfConference


    • Kotsia I, Patras I (2011), Support Tucker Machines $nameOfConference


    • Oikonomopoulos A, Patras I, Pantic M (2010), Discriminative space-time voting for joint recognition and localization of actions $nameOfConference


    • Kotsia I, Patras I (2010), Multiplicative update rules for multilinear support tensor machines $nameOfConference


    • Rudovic O, Patras I, Pantic M (2010), Regression-based multi-view facial expression recognition $nameOfConference


    • Koelstra S, Pantic M, Patras I (2010), A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models $nameOfConference


    • Rudovic O, Patras I, Pantic M (2010), Facial expression invariant head pose normalization using Gaussian Process Regression $nameOfConference


    • Passino G, Patras I, Izquierdo E (2010), Aspect coherence for graph-based semantic image labelling $nameOfConference


    • Patras I, Hancock ER (2010), Coupled Prediction Classification for Robust Visual Tracking $nameOfConference


    • Vrochidis S, Kompatsiaris I, Patras I (2010), Optimizing visual search with implicit user feedback in interactive video retrieval $nameOfConference


    • Kotsia I, Patras I (2010), Relative Margin Support Tensor Machines for gait and action recognition $nameOfConference


    • Passino G, Patras I, Izquierdo E (2010), Pyramidal Model for Image Semantic Segmentation ICPR 2010


    • Koelstra S, Pantic M, Patras I (2010), A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models $nameOfConference


    • Kumar.B.G V, Patras I (2010), A discriminative voting scheme for object detection using hough forests $nameOfConference

    • Rudovic O, Patras I, Pantic M (2010), Coupled Gaussian Process Regression for Pose-Invariant Facial Expression Recognition $nameOfConference


    • Rudovic O, Patras I, Pantic M (2010), Coupled Gaussian process regression for pose-invariant facial expression recognition $nameOfConference


    • Vrochidis S, Kompatsiaris I, Patras I (2010), Exploiting implicit user feedback in interactive video retrieval. $nameOfConference

    • Guo W, Patras I (2010), Learning output-kernel-dependent regression for human pose estimation $nameOfConference

    • Koelstra S, Yazdani A, Soleymani M et al. (2010), Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos $nameOfConference


    • Guo W, Patras I (2009), Discriminative 3D human pose estimation from monocular images via topological preserving hierarchical affinity clustering $nameOfConference


    • Koelstra S, Mühl C, Patras I (2009), EEG analysis for implicit tagging of video data $nameOfConference


    • Oikonomopoulos A, Pantic M, Patras I (2009), Sparse B-spline polynomial descriptors for human activity recognition $nameOfConference


    • Passino G, Patras I, Izquierdo E (2009), Latent Semantics Local Distribution for CRF-based Image Semantic Segmentation BMVC 2009


    • Passino G, Piatrik T, Patras I et al. (2009), A Multimedia Content Semantics Extraction Framework for Enhanced Social Interaction EuroITV 2009

    • Oikonomopoulos A, Patras I, Pantic M (2009), An implicit spatiotemporal shape model for human activity localization and recognition 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops


    • Nikolopoulos S, Papadopoulos GT, Kompatsiaris I et al. (2009), An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding $nameOfConference


    • Oikonomopoulos A, Patras I, Pantic M (2009), An Implicit Spatiotemporal Shape Model for Human Activity Localization and Recognition $nameOfConference

    • Oikonomopoulos A, Patras I, Pantic M (2009), An implicit spatiotemporal shape model for human activity localization and recognition $nameOfConference


    • Passino G, Patras I, Izquierdo E (2009), CONTEXT AWARENESS IN GRAPH-BASED IMAGE SEMANTIC SEGMENTATION VIA VISUAL WORD DISTRIBUTIONS $nameOfConference


    • (2009), Face Acquisition $nameOfConference


    • Patras I (2009), Face Pose Analysis $nameOfConference


    • Koelstra S, Patras I (2009), THE FAST-3D SPATIO-TEMPORAL INTEREST REGION DETECTOR $nameOfConference


    • Oikonomopoulos A, Pantic M, Patras I (2008), Human Gesture Recognition using Sparse B-spline Polynomial Representations $nameOfConference

    • Andreopoulos Y, Patras I (2008), Incremental refinement of image salient-point detection. $nameOfConference


    • Passino G, Patras I, Izquierdo E (2008), Aspect Coherence for Graph-Based Image Labelling VIE 2008


    • Oikonomopoulos A, Pantic M, Patras I (2008), B-spline Polynomial Descriptors for Human Activity Recognition $nameOfConference


    • Oikonomopoulos A, Pantic M, Patras I (2008), B-spline polynomial descriptors for human activity recognition. $nameOfConference


    • Patras I, Andreopoulos Y (2008), Incremental salient point detection $nameOfConference


    • Passino G, Patras I, Izquierdo E (2008), ON THE ROLE OF STRUCTURE IN PART-BASED OBJECT DETECTION $nameOfConference

    • PATRAS I, Lagendijk RL, Hendriks EA (2007), Bayesian Confidence Measures for Block-based Motion Estimation $nameOfConference

    • Patras I, Hendriks EA, Lagendijk RL (2007), Probabilistic confidence measures for block matching motion estimation $nameOfConference


    • PATRAS I, Hancock ER (2007), Regression-ased Template Tracking in Presence of Occlusions International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Santorini, Greece


    • Pogalin E, Redert A, Patras I et al. (2007), Gaze tracking by using factorized likelihoods particle filtering and stereo vision $nameOfConference


    • PATRAS I, Paragios N, Oikonomopoulos A et al. (2007), Particle Filtering Tracking Scheme for Trajectory-based Recognition of Human Actions $nameOfConference

    • Patras I, Hancock ER (2007), Regression tracking with data relevance determination $nameOfConference


    • Patras I, Hancock E (2007), Template tracking with observation relevance determination $nameOfConference


    • Oikonomopoulos A, Patras I, Pantic M et al. (2007), Trajectory-based representation of human actions $nameOfConference


    • PATRAS I, Pantic M, Oikonomopoulos A (2006), Kernel-based Recognition of Human Actions Using Spatiotemporal Salient Points Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Workshop on Vision for HCI, New York, USA - June 2006


    • Oikonomopoulos A, Patras I, Pantic M (2006), Spatiotemporal salient points for visual recognition of human actions. $nameOfConference


    • Pantic M, Patras I (2006), Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences. $nameOfConference


    • Diplaros A, Gevers T, Patras I (2006), Combining color and shape information for illumination-viewpoint invariant object recognition. $nameOfConference


    • PATRAS I, Valstar MF, Pantic M (2005), Learning Spatiotemporal Models of Facial Expressions International Conference on Measuring Behaviour, Wageningen - September 2005

    • PATRAS I, Pantic M, Valstar MF (2005), Facial Action Unit Detection Using Probabilistically Actively Learned Support Vector Machines on Tracked Facial Point Data Proceedings of IEEE International Confernece on Computer Visision and Pattern Recognition, workshop on Vision for HCI, San Diego, USA - June 2005


    • Pantic M, Patras I (2005), Detecting facial actions and their temporal segments in nearly frontal-view face image sequences $nameOfConference

    • Oikonomopoulos A, Patras I, Pantic M (2005), Spatiotemporal saliency for human action recognition $nameOfConference


    • Patras I, Pantic M (2005), Tracking deformable motion $nameOfConference


    • Valstar M, Pantic M, Patras I (2004), Motion history for facial action detection in video $nameOfConference


    • Patras I, Worring M, van den Boomgaard R (2004), Dense motion estimation using regularization constraints on local parametric models. $nameOfConference


    • PATRAS I, Pantic M, Valstar M (2004), Multilevel Motion History for Facial Action Detection from Face Video IEEE International Conference on Systems, Management and Cybernetics, Den Haag, The Netherlands - October 2005

    • Diplaros A, Gevers T, Patras I (2004), Combining color and shape information for content-based image retrieval on the Internet $nameOfConference


    • Valstar M, Patras I, Pantic M (2004), Facial action unit recognition using temporal templates $nameOfConference


    • Winkelman F, Patras I (2004), Online globally consistent mosaicing using an efficient representation $nameOfConference


    • Patras I, Pantic M (2004), Particle filtering with factorized likelihoods for tracking facial features $nameOfConference


    • Pantic M, Patras I (2004), Temporal modeling of facial actions from face profile image sequences $nameOfConference


    • PATRAS I, Gevers T, Diplaros A (2003), Color-Shape Context for Object Recognition IEEE Workshop on Color and Photometric Methods in Computer Vision (in conjunction with ICCV 2003), Nice, France

    • Patras I, Hendriks EA, Lagendijk RL (2003), Semi-automatic object-based video segmentation with labeling of color segments $nameOfConference


    • PATRAS I, Raaijmakers S, Snoek C et al. (2002), TREC Feature Extraction by Active Learning 11th Text Retrieval Confernece (TREC), Gaithersburg, MD - November 2002

    • Patras I, Hendriks EA, Lagendijk RL (2002), Confidence measures for block matching motion estimation $nameOfConference


    • Pantic M, Patras I, Rothkrantz L (2002), Facial action recognition in face profile image sequences $nameOfConference


    • Patras I, Worring M (2002), Regularized patch motion estimation $nameOfConference


    • Patras I, Hendriks EA, Lagendijk RL (2001), Video segmentation by MAP labeling of watershed segments $nameOfConference


    • PATRAS I, List J, Geusebroek J-M et al. (2001), Lazy Users and Automatic Video Retrieval Tools in (the) Lowlands Proceedings of the 10th Text Retrieval Conference (TREC), NIST 2001

    • PATRAS I, Hendriks EA, Broekhoven M et al. (2001), Robust Region Merging for Motion Based Sementation Using the Kolmogorov-Smirnov Test $nameOfConference

    • Patras I, Hendriks EA, Lagendijk RL (1998), Iterative motion estimation - segmentation method using watershed segments $nameOfConference

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