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2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
The Author Index contains the primary entry for each item, listed under the first author's name. ...
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
., +, TMM 2021 4326-4340 Weakly Supervised Emotion Intensity Prediction for Recognition of Emotions in Images. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
Unsupervised Temporal Ensemble Alignment for Rapid Annotation
[chapter]
2015
Lecture Notes in Computer Science
Our approach shares similarities with recent state of the art methods for unsupervised images ensemble alignment (e.g. ...
This paper presents a novel framework for the unsupervised alignment of an ensemble of temporal sequences. ...
Unsupervised Temporal Ensemble Alignment Our method poses the ensemble alignment objective as an RPCA [7] problem: arg min L,E,P rank(L) + λ E 0 s.t. ...
doi:10.1007/978-3-319-16628-5_6
fatcat:wxsgldmk35cvhdzekmbpj7f2ey
Table of Contents
2021
IEEE Signal Processing Letters
Liu An Effective Face Anti-Spoofing Method via Stereo Matching . . . . . . . . . . . . . . ...Z. Li, J. Yuan, B. Jia, Y. He, and L. ...
Li Space Target Attitude Estimation From ISAR Image Sequences With Key Point Extraction Network . . . . . . . . . . . . . . . ...Zhong Interactive Multimodal Attention Network for Emotion Recognition in ...
doi:10.1109/lsp.2021.3134549
fatcat:m6obtl7k7zdqvd62eo3c4tptfy
2020 Index IEEE Transactions on Affective Computing Vol. 11
2021
IEEE Transactions on Affective Computing
The Author Index contains the primary entry for each item, listed under the first author's name. ...
-that appeared in this periodical during 2020, and items from previous years that were commented upon or corrected in 2020. ...
-March 2020 125-137 Image segmentation Segment-Based Methods for Facial Attribute Detection from Partial Faces. Mahbub, U., +, T-AFFC Oct.-Dec. ...
doi:10.1109/taffc.2021.3055662
fatcat:het65admgnbbvn4fdzdgmftuqu
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion
[article]
2020
arXiv
pre-print
In this paper, we provide a substantial overview of the existing state-of-the-arts on the filed of multi-modal data analytics from shallow to deep spaces. ...
Substantial empirical studies are carried out to demonstrate its advantages that are benefited from deep multi-modal methods, which can essentially deepen the fusion from multi-modal deep feature spaces ...
In addition, the traditional GAN has been adopted in supervised, semi-supervised and unsupervised learning methods for classification. Baumgartner et al. ...
arXiv:2006.08159v1
fatcat:g4467zmutndglmy35n3eyfwxku
2020 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 42
2021
IEEE Transactions on Pattern Analysis and Machine Intelligence
., Recognizing Material Properties from Images; 1981-1995 Sebe, N., see Pilzer, A., 2380-2395 Seddik, M., see Tamaazousti, Y., 2212-2224 Shah, M., see Kalayeh, M.M., TPAMI June 2020 1483-1500 ...
., +, TPAMI June 2020 1348-1361 High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder. ...
.,
+, TPAMI May 2020 1112-1131
High-Fidelity Monocular Face Reconstruction Based on an Unsupervised
Model-Based Face Autoencoder. ...
doi:10.1109/tpami.2020.3036557
fatcat:3j6s2l53x5eqxnlsptsgbjeebe
Table of Contents
2021
IEEE Signal Processing Letters
Image Inpainting via an Edge-Aware Dual Branch Generative Adversarial Network . . . . . M. Chen and Z. Liu An Effective Face Anti-Spoofing Method via Stereo Matching . . . . . . . . . . . . . . . . . ...
Zhang (Contents Continued on Page xx) (Contents Continued from Page xix)
MRINet: Multilevel Reverse-Context Interactive-Fusion Network for Detecting Salient Objects in RGB-D Images . . . . . . . . . ...
doi:10.1109/lsp.2021.3134551
fatcat:ab4b4tb5rrcu5cq6aifdekrizq
Unsupervised emotion recognition algorithm based on improved deep belief model in combination with probabilistic linear discriminant analysis
2019
Personal and Ubiquitous Computing
In addition, using our proposed algorithm for aggregating linear discriminant analysis into a deep belief network, we were able to produce an accuracy of 81.03% on the challenge test set. ...
Firstly, the traditional linear discriminant analysis method is improved, and a new type of inter-class dispersion matrix is designed to solve the rank limitation problem in the traditional Linear Discriminant ...
Eigenface method takes the whole face image as an input and extracts facial expression features by constructing a subspace. ...
doi:10.1007/s00779-019-01235-y
fatcat:qccz2ronnzc4reejs7scaoriui
2021 Index IEEE Signal Processing Letters Vol. 28
2021
IEEE Signal Processing Letters
The Author Index contains the primary entry for each item, listed under the first author's name. ...
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
., +, LSP 2021 698-702 An Effective Face Anti-Spoofing Method via Stereo Matching. ...
doi:10.1109/lsp.2022.3145253
fatcat:a3xqvok75vgepcckwnhh2mty74
Constrained Low-Rank Learning Using Least Squares-Based Regularization
2017
IEEE Transactions on Cybernetics
Most low-rank methods are incapable of capturing low-dimensional subspace for supervised learning tasks, e.g., classification and regression. ...
Low-rank learning has attracted much attention recently due to its efficacy in a rich variety of real-world tasks, e.g., subspace segmentation and image categorization. ...
ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their helpful and constructive comments that have greatly contributed to improving this manuscript. ...
doi:10.1109/tcyb.2016.2623638
pmid:27849552
fatcat:znrgzbzxu5g5pmdcyeb3rmgkgq
Spectral clustering based on high‐frequency texture components for face datasets
2021
IET Image Processing
Spectral clustering is one of the most widely used technologies for clustering tasks, which represents data as a weighted graph, and aims to find an appropriate way to cut the graph apart in order to categorize ...
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. ...
An unsupervised method called discriminative subspace matrix factorization for multiview data clustering (DMSMF), is proposed based on nonnegative matrix factorization in [11] , which effectively obtains ...
doi:10.1049/ipr2.12191
fatcat:fy5ecuwksfbk3copwapt6n2bla
Table of Contents
2021
IEEE transactions on multimedia
Wu Multimedia Sentiment Analysis and Synthesis; Affective Media Processing Weakly Supervised Emotion Intensity Prediction for Recognition of Emotions in Images . . . . . . . . . .H. Zhang and M. ...
Shi Image/Video/Graphics Analysis and Synthesis 3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tmm.2021.3132246
fatcat:el7u2udtybddrpbl5gxkvfricy
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
., +, TIP 2020
5336-5351
Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Sim-
ple Method. ...
Xiang, X., +, TIP 2020 8976-8987 Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives
2021
Frontiers in Neurorobotics
This paper aims to provide an up-to-date and comprehensive survey of cross-corpus SER, especially for various deep learning techniques associated with supervised, unsupervised and semi-supervised learning ...
Due to the diversity of different speech emotional corpus or languages, most previous SER methods do not perform well when applied in real-world cross-corpus or cross-language scenarios. ...
Transfer subspace learning for unsupervised cross-corpus speech emotion recognition. ...
doi:10.3389/fnbot.2021.784514
pmid:34912204
pmcid:PMC8666588
fatcat:mviw3j34xvapfac74ekrwmh7wa
Analyzing trajectories on Grassmann manifold for early emotion detection from depth videos
2015
2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
recognition and emotion detection proposed in this thesis. ...
That is, a sequence of 3D faces is first split to an indexed collection of short-term sub-sequences that are represented as matrix (subspace) which define a special matrix manifold called, Grassmann manifold ...
A more realistic annotation for 28 human emotional states recognition is proposed, known as arousal-valence continuous 29 human emotions charts [111] . ...
doi:10.1109/fg.2015.7163122
dblp:conf/fgr/AlashkarABD15
fatcat:53lkhk6apzaqndylmu5iphqupe
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