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Items where Greenwich Author is "Kollias, Dimitrios"

Items where Greenwich Author is "Kollias, Dimitrios"

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Jump to: Deep convolutional and recurrent neural architectures, CNN plus Multi RNN, low-, mid-, high-level features, multi-CNN feature extraction and aggregation, multi-task learning, facial image analysis, valence, arousal, emotion recognition in-the-wild, AffWildNet, AffWild and AffWild2 emotion databases, OMG-Emotion database and Challenge | deep learning, convolutional recurrent neural networks, prediction, adaptation, clustering, Parkinson’s, healthcare | deep, convolutional, recurrent, af-wild, database, challenge, in-the-wild, facial, dimensional, categorical, emotion, recognition, valence, arousal, AfWildNet, RECOLA, AFEW, AFEW-VA, EmotiW | dimensional, categorical affect, valence, arousal, basic emotions, facial affect synthesis, 4DFAB, blendshape models, 3DMM fitting, DNNs, StarGAN, GANimation, data augmentation, affect recognition, facial expression transfer
Number of items: 4.

Deep convolutional and recurrent neural architectures, CNN plus Multi RNN, low-, mid-, high-level features, multi-CNN feature extraction and aggregation, multi-task learning, facial image analysis, valence, arousal, emotion recognition in-the-wild, AffWildNet, AffWild and AffWild2 emotion databases, OMG-Emotion database and Challenge

Kollias, Dimitrios ORCID logoORCID: https://orcid.org/0000-0002-8188-3751 and Zafeiriou, Stefanos P. (2020) Exploiting multi-CNN features in CNN-RNN based dimensional emotion recognition on the OMG in-the-wild dataset. IEEE Transactions on Affective Computing, 12 (3). pp. 595-606. ISSN 1949-3045 (Online) (doi:10.1109/TAFFC.2020.3014171)

deep learning, convolutional recurrent neural networks, prediction, adaptation, clustering, Parkinson’s, healthcare

Kollias, Dimitrios ORCID logoORCID: https://orcid.org/0000-0002-8188-3751, Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos ORCID logoORCID: https://orcid.org/0000-0003-2899-0598 and Tagaris, Georgios (2017) Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, 4 (2). pp. 119-131. ISSN 2199-4536 (Print), 2198-6053 (Online) (doi:10.1007/s40747-017-0064-6)

deep, convolutional, recurrent, af-wild, database, challenge, in-the-wild, facial, dimensional, categorical, emotion, recognition, valence, arousal, AfWildNet, RECOLA, AFEW, AFEW-VA, EmotiW

Kollias, Dimitrios ORCID logoORCID: https://orcid.org/0000-0002-8188-3751, Tzirakis, Panagiotis, Nicolaou, Mihalis A., Papaioannou, Athanasios, Zhao, Guoying, Schuller, Björn, Kotsia, Irene and Zafeiriou, Stefanos (2019) Deep affect prediction in-the-wild: aff-wild database and challenge, deep architectures, and beyond. International Journal of Computer Vision, 127 (6-7). pp. 907-929. ISSN 0920-5691 (Print), 1573-1405 (Online) (doi:10.1007/s11263-019-01158-4)

dimensional, categorical affect, valence, arousal, basic emotions, facial affect synthesis, 4DFAB, blendshape models, 3DMM fitting, DNNs, StarGAN, GANimation, data augmentation, affect recognition, facial expression transfer

Kollias, Dimitrios ORCID logoORCID: https://orcid.org/0000-0002-8188-3751, Cheng, Shiyang, Ververas, Evangelos, Kotsia, Irene and Zafeiriou, Stefanos (2020) Deep neural network augmentation: generating faces for affect analysis. International Journal of Computer Vision, 128 (5). pp. 1455-1484. ISSN 0920-5691 (Print), 1573-1405 (Online) (doi:10.1007/s11263-020-01304-3)

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