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Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Recently, nested and coprime arrays have attracted considerable interest due to their capability of providing increased array aperture, enhanced degrees of freedom (DOFs), and reduced mutual coupling effect compared to uniform linear arrays (ULAs). These features are critical to improving the performance of direction-of-arrival estimation and adaptive beamforming.
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Section: Community & Involvement
In recent years the ubiquity of mobile computing platforms such as smartphones and tablet devices has rapidly increased. These devices provide a range of interaction in an untethered environment unimaginable a decade previously. With this ability to interact with services and individuals, comes the need to accurately authenticate the identity of the person requesting the transaction, many of which may carry financial or legally-binding instruction.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
The IEEE Transactions on Image Processing covers novel theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Zero-shot learning (ZSL) for visual recognition aims to accurately recognize the objects of unseen classes through mapping the visual feature to an embedding space spanned by class semantic information. However, the semantic gap across visual features and their underlying semantics is still a big obstacle in ZSL. Conventional ZSL methods construct that the mapping typically focus on the original visual features that are independent of the ZSL tasks, thus degrading the prediction performance.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Image annotation aims to annotate a given image with a variable number of class labels corresponding to diverse visual concepts. In this paper, we address two main issues in large-scale image annotation: 1) how to learn a rich feature representation suitable for predicting a diverse set of visual concepts ranging from object, scene to abstract concept and 2) how to annotate an image with the optimal number of class labels.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Retrieving specific persons with various types of queries, e.g., a set of attributes or a portrait photo has great application potential in large-scale intelligent surveillance systems. In this paper, we propose a richly annotated pedestrian (RAP) dataset which serves as a unified benchmark for both attribute-based and image-based person retrieval in real surveillance scenarios. Typically, previous datasets have three improvable aspects, including limited data scale and annotation types, heterogeneous data source, and controlled scenarios.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
A novel scheme of edge detection based on the physical law of diffusion is presented in this paper. Though the most current studies are using data based methods such as deep neural networks, these methods on machine learning need big data of labeled ground truth as well as a large amount of resources for training. On the other hand, the widely used traditional methods are based on the gradient of the grayscale or color of images with using different sorts of mathematical tools to accomplish the mission.
Section: Community & Involvement
The following lists all the past chairs and members of the SPS Computational Imaging Technical Committee. *NOTE: View the full downloadable list (right-click, Save As to save file).
Section: Publications & Resources
Are you looking to energize signal processing students, early stage researchers, and industry practitioners in your area? Consider hosting a Seasonal School for young engineers near you!
Section: Publications & Resources
Are you looking to energize signal processing students, early stage researchers, and industry practitioners in your area? Consider hosting a Seasonal School for young engineers near you!
