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2017 IEEE International Conference on Computer Vision (ICCV), ISSN 1550-5499, 10/2017, Volume 2017-, pp. 3239 - 3248
In this paper, we address the problem of person re-identification, which refers to associating the persons captured from different cameras. We propose a simple... 
Biological system modeling | Computational modeling | Aggregates | Neural networks | Feature extraction | Cameras | Probes
Conference Proceeding
IEEE Transactions on Image Processing, ISSN 1057-7149, 03/2012, Volume 21, Issue 3, pp. 1339 - 1351
Journal Article
IEEE Transactions on Multimedia, ISSN 1520-9210, 02/2014, Volume 16, Issue 2, pp. 427 - 439
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 09/2016, Volume 28, Issue 9, pp. 2522 - 2534
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 1029 - 1038
Recently, deep learning approach, especially deep Convolutional Neural Networks (ConvNets), have achieved overwhelming accuracy with fast processing speed for... 
Logic gates | Visualization | Recurrent neural networks | Trajectory | Computational modeling | Standards
Conference Proceeding
International Journal of Computer Vision, ISSN 0920-5691, 10/2016, Volume 120, Issue 1, pp. 61 - 77
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 03/2016, Volume 28, Issue 3, pp. 689 - 700
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 08/2017, Volume 26, Issue 8, pp. 3846 - 3858
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 10/2019, Volume 28, Issue 10, pp. 5052 - 5063
A key problem in co-saliency detection is how to effectively model the interactive relationship of a whole image group and the individual perspective of each... 
Deep learning | group-wise interaction | jointly optimize | Semantics | Object detection | Feature extraction | Collaborative work | Co-saliency object detection | Task analysis | Saliency detection | OBJECT DETECTION | DISCOVERY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Multimedia, ISSN 1520-9210, 09/2018, Volume 20, Issue 9, pp. 2330 - 2343
Recent skeleton-based action recognition approaches achieve great improvement by using recurrent neural network (RNN) models. Currently, these approaches build... 
Training | Action recognition | score fusion | Three-dimensional displays | LSTM | Logic gates | Nonhomogeneous media | Skeleton | geometric feature | Task analysis | Videos | skeleton | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, INFORMATION SYSTEMS | JOINTS | TELECOMMUNICATIONS | Domains | Multilayers | Recurrent neural networks | Neural networks | Feature recognition
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2016, Volume 25, Issue 2, pp. 630 - 642
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 10/2012, Volume 22, Issue 10, pp. 1485 - 1496
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 01/2018, Volume 28, Issue 1, pp. 76 - 89
For a number of important problems, isolated semantic representations of individual syntactic words or visual objects do not suffice, but instead a... 
Visualization | Correlation | multimodal embedding | Semantics | Buildings | multimodal analysis | Bicycles | Machine learning | Feature extraction | Compositional semantics | RETRIEVAL | LEARNING FRAMEWORK | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Image processing | Analysis | Visualization (Computers) | Embedding | Representations | Images
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2016, Volume 25, Issue 12, pp. 5892 - 5904
Journal Article
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