12 Result(s)
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Article
MadFormer: multi-attention-driven image super-resolution method based on Transformer
While the Transformer-based method has demonstrated exceptional performance in low-level visual processing tasks, it has a strong modeling ability only locally, thereby neglecting the importance of spatial fea...
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Article
A cross-view geo-localization method guided by relation-aware global attention
Cross-view geo-localization mainly exploits query images to match images from the same geographical location from different platforms. Most existing methods fail to adequately consider the effect of image stru...
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Article
Style transfer network for complex multi-stroke text
Neural style transfer has achieved success in many tasks. It is also introduced to text style transfer, which uses a style image to generate transferred images with textures and shapes consistent with the sema...
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Article
Deblurring transformer tracking with conditional cross-attention
In object tracking, motion blur is a common challenge induced by rapid movement of target object or long time exposure of the camera, which leads to poor tracking performance. Traditional solutions usually per...
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Article
Context and saliency aware correlation filter for visual tracking
Visual tracking in complex scenarios is a big challenge in the computer vision community. Due to correlation filter (CF) recently have achieved excellent results both on accuracy and robustness in visual track...
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Article
AMTSet: a benchmark for abrupt motion tracking
Since the OTB100 benchmark dataset is released, it has been widely used in a large number of researches on object tracking for performance evaluation. However, the existing datasets are insufficient to evaluat...
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Article
On-line modeling and monitoring for multi-operation batch processes with infinite data types
For complex industrial processes with frequent operating characteristics, process data types will be infinite due to the randomness and uncertainty of operation. Additionally, the process data follow serious n...
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Article
Two-Layer IMM Tracker with Variable Structure for Curvilinear Maneuvering Targets
It is of great importance to develop a robust and fast tracking algorithm for curvilinear maneuvering targets in tracking system. To target this issue, a novel two-layer interacting multiple model (IMM) tracke...
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Article
Supervised and Constrained Nonnegative Matrix Factorization with Sparseness for Image Representation
Nonnegative Matrix Factorization (NMF) has been becoming an important method for feature dimension reduction in recent years since it can represent data with strong strength. In this paper, we present a novel ...
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Chapter and Conference Paper
Parameter Selection for Denoising Algorithms Using NR-IQA with CNN
In order to yield satisfied image after denosing processing, the process of error tracing is nearly necessary for parameter selection. In practice, usually the choice of such parameters is time consuming and e...
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Article
Social video annotation by combining features with a tri-adaptation approach
Online social video websites such as YouTube allow users to manually annotate their video documents with textual labels. These labels can be used as indexing keywords to facilitate search and organization of v...
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Article
Active learning SVM with regularization path for image classification
In classification problems, many different active learning techniques are often adopted to find the most informative samples for labeling in order to save human labors. Among them, active learning support vect...
