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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]

Ashton Fagg, Sridha Sridharan, Simon Lucey
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]

Yang Wang
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

Ying Xiao, Deyan Wang, Ligong Hou
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

Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li
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

Zexiao Liang, Shaozhi Guo, Dakang Liu, Jianzhong Li
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

Shiqing Zhang, Ruixin Liu, Xin Tao, Xiaoming Zhao
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

Taleb Alashkar, Boulbaba Ben Amor, Stefano Berretti, Mohamed Daoudi
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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