Search Results - "Xinge You"

Robust Object Tracking via Key Patch Sparse Representation by He, Zhenyu, Yi, Shuangyan, Cheung, Yiu-Ming, You, Xinge, Tang, Yuan Yan

“…Many conventional computer vision object tracking methods are sensitive to partial occlusion and background clutter. This is because the partial occlusion or…”
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Robust face recognition via occlusion dictionary learning by Ou, Weihua, You, Xinge, Tao, Dacheng, Zhang, Pengyue, Tang, Yuanyan, Zhu, Ziqi

“…Sparse representation based classification (SRC) has recently been proposed for robust face recognition. To deal with occlusion, SRC introduces an identity…”
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Segmentation of retinal blood vessels using the radial projection and semi-supervised approach by You, Xinge, Peng, Qinmu, Yuan, Yuan, Cheung, Yiu-ming, Lei, Jiajia

“…Automatic segmentation of retinal blood vessels has become a necessary diagnostic procedure in ophthalmology. The blood vessels consist of two types of…”
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Shape matching and classification using height functions by Wang, Junwei, Bai, Xiang, You, Xinge, Liu, Wenyu, Latecki, Longin Jan

“…► We presented a novel shape descriptor for matching and recognizing 2D shapes. ► For each sample point, a height function is defined as its descriptor. ► The…”
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A Unified B-Spline Framework for Scale-Invariant Keypoint Detection by Zheng, Qi, Gong, Mingming, You, Xinge, Tao, Dacheng

“…Scale-invariant keypoint detection is a fundamental problem in low-level vision. To accelerate keypoint detectors (e.g. DoG, Harris-Laplace, Hessian-Laplace)…”
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Emotion Classification Using EEG Brain Signals and the Broad Learning System by Issa, Sali, Peng, Qinmu, You, Xinge

“…This article presents a new user-independent emotion classification method that classifies four distinct emotions using electroencephalograph (EEG) signals and…”
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Multi-view low-rank dictionary learning for image classification by Wu, Fei, Jing, Xiao-Yuan, You, Xinge, Yue, Dong, Hu, Ruimin, Yang, Jing-Yu

“…Recently, a multi-view dictionary learning (DL) technique has received much attention. Although some multi-view DL methods have been presented, they suffer…”
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MultiCut-MultiMix: a two-level data augmentation method for detecting small and densely distributed objects in large-size images by Xin, Zhimeng, Lu, Tongwei, Li, Yuzhou, You, Xinge

“…Detecting small and densely distributed (SDD) objects in large-size images is quite challenging due to the facts that directly inputting such images to the…”
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Multi-view common component discriminant analysis for cross-view classification by You, Xinge, Xu, Jiamiao, Yuan, Wei, Jing, Xiao-Yuan, Tao, Dacheng, Zhang, Taiping

“…•We extract view-independent features to remove the view discrepancy.•We integrate discriminant regularization to learn a discriminant subspace.•We extend…”
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Diverse Expected Gradient Active Learning for Relative Attributes by You, Xinge, Wang, Ruxin, Tao, Dacheng

“…The use of relative attributes for semantic understanding of images and videos is a promising way to improve communication between humans and machines…”
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MelTrans: Mel-Spectrogram Relationship-Learning for Speech Emotion Recognition via Transformers by Li, Hui, Li, Jiawen, Liu, Hai, Liu, Tingting, Chen, Qiang, You, Xinge

“…Speech emotion recognition (SER) is not only a ubiquitous aspect of everyday communication, but also a central focus in the field of human-computer…”
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Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning by Jing, Xiao-Yuan, Zhu, Xiaoke, Wu, Fei, Hu, Ruimin, You, Xinge, Wang, Yunhong, Feng, Hui, Yang, Jing-Yu

“…Person re-identification has been widely studied due to its importance in surveillance and forensics applications. In practice, gallery images are high…”
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Local Metric Learning for Exemplar-Based Object Detection by You, Xinge, Li, Qiang, Tao, Dacheng, Ou, Weihua, Gong, Mingming

“…Object detection has been widely studied in the computer vision community and it has many real applications, despite its variations, such as scale, pose,…”
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Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification by Gui, Jie, Tao, Dacheng, Sun, Zhenan, Luo, Yong, You, Xinge, Tang, Yuan Yan

“…No single feature can satisfactorily characterize the semantic concepts of an image. Multiview learning aims to unify different kinds of features to produce a…”
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Dynamically Modulated Mask Sparse Tracking by Chen, Zijing, You, Xinge, Zhong, Boxuan, Li, Jun, Tao, Dacheng

“…Visual tracking is a critical task in many computer vision applications such as surveillance and robotics. However, although the robustness to local…”
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A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks by You, Xinge, Du, Liang, Cheung, Yiu-Ming, Chen, Qiuhui

“…As an effective method for copyright protection of digital products against illegal usage, watermarking in wavelet domain has recently received considerable…”
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Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix by Zhu, Xiaoke, Jing, Xiao-Yuan, You, Xinge, Zuo, Wangmeng, Shan, Shiguang, Zheng, Wei-Shi

“…Person re-identification plays an important role in video surveillance and forensics applications. In many cases, person re-identification needs to be…”
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Single object tracking via robust combination of particle filter and sparse representation by Yi, Shuangyan, He, Zhenyu, You, Xinge, Cheung, Yiu-Ming

“…The drifting problem is a core problem in single object tracking and attracts many researchers’ attention. Unfortunately, traditional methods cannot well solve…”
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Writer identification of Chinese handwriting documents using hidden Markov tree model by He, Zhenyu, You, Xinge, Tang, Yuan Yan

“…Handwriting-based writer identification, a branch of biometrics, is an active research topic in pattern recognition. Since most existing methods and models aim…”
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Semantic and spatial‐spectral feature fusion transformer network for the classification of hyperspectral image by Xie, Erxin, Chen, Na, Peng, Jiangtao, Sun, Weiwei, Du, Qian, You, Xinge

“…Recently, transformer‐based networks have been introduced for the classification of hyperspectral image (HSI). Although transformer‐based methods can well…”
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