Search Results - "Zafeiriou, Stefanos"

A survey on face detection in the wild: Past, present and future by Zafeiriou, Stefanos, Zhang, Cha, Zhang, Zhengyou

“…•We present a comprehensive and survey for face detection ‘in-the-wild’.•We critically describe the advances in the three main families of algorithms.•We…”
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Non-Negative Matrix Factorizations for Multiplex Network Analysis by Gligorijevic, Vladimir, Panagakis, Yannis, Zafeiriou, Stefanos

“…Networks have been a general tool for representing, analyzing, and modeling relational data arising in several domains. One of the most important aspect of…”
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End-to-End Multimodal Emotion Recognition Using Deep Neural Networks by Tzirakis, Panagiotis, Trigeorgis, George, Nicolaou, Mihalis A., Schuller, Bjorn W., Zafeiriou, Stefanos

“…Automatic affect recognition is a challenging task due to the various modalities emotions can be expressed with. Applications can be found in many domains…”
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Deep Neural Network Augmentation: Generating Faces for Affect Analysis by Kollias, Dimitrios, Cheng, Shiyang, Ververas, Evangelos, Kotsia, Irene, Zafeiriou, Stefanos

“…This paper presents a novel approach for synthesizing facial affect; either in terms of the six basic expressions (i.e., anger, disgust, fear, joy, sadness and…”
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A Deep Matrix Factorization Method for Learning Attribute Representations by Trigeorgis, George, Bousmalis, Konstantinos, Zafeiriou, Stefanos, Schuller, Bjorn W.

“…Semi-Non-negative Matrix Factorization is a technique that learns a low-dimensional representation of a dataset that lends itself to a clustering…”
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Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond by Kollias, Dimitrios, Tzirakis, Panagiotis, Nicolaou, Mihalis A., Papaioannou, Athanasios, Zhao, Guoying, Schuller, Björn, Kotsia, Irene, Zafeiriou, Stefanos

“…Automatic understanding of human affect using visual signals is of great importance in everyday human–machine interactions. Appraising human emotional states,…”
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Static and dynamic 3D facial expression recognition: A comprehensive survey by Sandbach, Georgia, Zafeiriou, Stefanos, Pantic, Maja, Yin, Lijun

“…Automatic facial expression recognition constitutes an active research field due to the latest advances in computing technology that make the user's experience…”
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Deep Polynomial Neural Networks by Chrysos, Grigorios G., Moschoglou, Stylianos, Bouritsas, Giorgos, Deng, Jiankang, Panagakis, Yannis, Zafeiriou, Stefanos

“…Deep convolutional neural networks (DCNNs) are currently the method of choice both for generative, as well as for discriminative learning in computer vision…”
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Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction by Gecer, Baris, Ploumpis, Stylianos, Kotsia, Irene, Zafeiriou, Stefanos

“…A lot of work has been done towards reconstructing the 3D facial structure from single images by capitalizing on the power of deep convolutional neural…”
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Feature-Based Lucas-Kanade and Active Appearance Models by Antonakos, Epameinondas, Alabort-i-Medina, Joan, Tzimiropoulos, Georgios, Zafeiriou, Stefanos P.

“…Lucas-Kanade and active appearance models are among the most commonly used methods for image alignment and facial fitting, respectively. They both utilize…”
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Towards a Complete 3D Morphable Model of the Human Head by Ploumpis, Stylianos, Ververas, Evangelos, Sullivan, Eimear Oa, Moschoglou, Stylianos, Wang, Haoyang, Pears, Nick, Smith, William A. P., Gecer, Baris, Zafeiriou, Stefanos

“…Three-dimensional morphable models (3DMMs) are powerful statistical tools for representing the 3D shapes and textures of an object class. Here we present the…”
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RoCGAN: Robust Conditional GAN by Chrysos, Grigorios G., Kossaifi, Jean, Zafeiriou, Stefanos

“…Conditional image generation lies at the heart of computer vision and conditional generative adversarial networks (cGAN) have recently become the method of…”
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Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network by Trigeorgis, George, Ringeval, Fabien, Brueckner, Raymond, Marchi, Erik, Nicolaou, Mihalis A., Schuller, Bjorn, Zafeiriou, Stefanos

“…The automatic recognition of spontaneous emotions from speech is a challenging task. On the one hand, acoustic features need to be robust enough to capture the…”
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Online Kernel Slow Feature Analysis for Temporal Video Segmentation and Tracking by Liwicki, Stephan, Zafeiriou, Stefanos P., Pantic, Maja

“…Slow feature analysis (SFA) is a dimensionality reduction technique which has been linked to how visual brain cells work. In recent years, the SFA was adopted…”
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Recognition of 3D facial expression dynamics by Sandbach, Georgia, Zafeiriou, Stefanos, Pantic, Maja, Rueckert, Daniel

“…In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial geometry sequences for dynamic facial expression…”
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AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild" by Lattas, Alexandros, Moschoglou, Stylianos, Gecer, Baris, Ploumpis, Stylianos, Triantafyllou, Vasileios, Ghosh, Abhijeet, Zafeiriou, Stefanos

“…Over the last years, with the advent of Generative Adversarial Networks (GANs), many face analysis tasks have accomplished astounding performance, with…”
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Disentangling the Modes of Variation in Unlabelled Data by Wang, Mengjiao, Panagakis, Yannis, Snape, Patrick, Zafeiriou, Stefanos P.

“…Statistical methods are of paramount importance in discovering the modes of variation in visual data. The Principal Component Analysis (PCA) is probably the…”
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AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction by Xue, Niannan, Liu, Bin, Guo, Huifeng, Tang, Ruiming, Zhou, Fengwei, Zafeiriou, Stefanos, Zhang, Yuzhou, Wang, Jun, Li, Zhenguo

“…Feature combinations are essential for the success of many web applications, such as personalised recommendation and online advertising. State-of-the-art…”
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Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation by Bahri, Mehdi, O’ Sullivan, Eimear, Gong, Shunwang, Liu, Feng, Liu, Xiaoming, Bronstein, Michael M., Zafeiriou, Stefanos

“…Standard registration algorithms need to be independently applied to each surface to register, following careful pre-processing and hand-tuning. Recently,…”
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Improving Generalization of CNN-based Motor-Imagery EEG Decoders via Dynamic Convolutions by Barmpas, Konstantinos, Panagakis, Yannis, Bakas, Stylianos, Adamos, Dimitrios A., Laskaris, Nikolaos, Zafeiriou, Stefanos

“…Deep Convolutional Neural Networks (CNNs) have recently demonstrated impressive results in electroencephalogram (EEG) decoding for several Brain-Computer…”
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