Search Results - "TIENIU TAN"

Ordinal Measures for Iris Recognition by Sun, Zhenan, Tan, Tieniu

“…Images of a human iris contain rich texture information useful for identity authentication. A key and still open issue in iris recognition is how best to…”
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Toward Accurate and Fast Iris Segmentation for Iris Biometrics by He, Zhaofeng, Tan, Tieniu, Sun, Zhenan, Qiu, Xianchao

“…Iris segmentation is an essential module in iris recognition because it defines the effective image region used for subsequent processing such as feature…”
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A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs by Wu, Zifeng, Huang, Yongzhen, Wang, Liang, Wang, Xiaogang, Tan, Tieniu

“…This paper studies an approach to gait based human identification via similarity learning by deep convolutional neural networks (CNNs). With a pretty small…”
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Fast Supervised Discrete Hashing by Gui, Jie, Liu, Tongliang, Sun, Zhenan, Tao, Dacheng, Tan, Tieniu

“…Learning-based hashing algorithms are "hot topics" because they can greatly increase the scale at which existing methods operate. In this paper, we propose a…”
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Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval by Wang, Kaiye, He, Ran, Wang, Liang, Wang, Wei, Tan, Tieniu

“…Cross-modal retrieval has recently drawn much attention due to the widespread existence of multimodal data. It takes one type of data as the query to retrieve…”
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Feature Selection Based on Structured Sparsity: A Comprehensive Study by Gui, Jie, Sun, Zhenan, Ji, Shuiwang, Tao, Dacheng, Tan, Tieniu

“…Feature selection (FS) is an important component of many pattern recognition tasks. In these tasks, one is often confronted with very high-dimensional data. FS…”
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Focal and efficient IOU loss for accurate bounding box regression by Zhang, Yi-Fan, Ren, Weiqiang, Zhang, Zhang, Jia, Zhen, Wang, Liang, Tan, Tieniu

“…Illustrations on the problems of current BBR losses. Each row shows the optimization results in different iterations with certain loss function. The Black…”
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Exploring uncertainty in pseudo-label guided unsupervised domain adaptation by Liang, Jian, He, Ran, Sun, Zhenan, Tan, Tieniu

“…•We introduce the problem of addressing the uncertainties of target pseudo labels, which is important yet under-studied in the domain adaptation…”
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A Study on Gait-Based Gender Classification by Yu, Shiqi, Tan, Tieniu, Huang, Kaiqi, Jia, Kui, Wu, Xinyu

“…Gender is an important cue in social activities. In this correspondence, we present a study and analysis of gender classification based on human gait…”
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An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition by Si, Chenyang, Chen, Wentao, Wang, Wei, Wang, Liang, Tan, Tieniu

“…Skeleton-based action recognition is an important task that requires the adequate understanding of movement characteristics of a human action from the given…”
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Message from the EiC by Tan Tieniu

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Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation by Liang, Jian, He, Ran, Sun, Zhenan, Tan, Tieniu

“…Unsupervised domain adaptation aims to leverage the labeled source data to learn with the unlabeled target data. Previous trandusctive methods tackle it by…”
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Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices by Zhang, Qi, Li, Haiqing, Sun, Zhenan, Tan, Tieniu

“…The quality of iris images on mobile devices is significantly degraded due to hardware limitations and less constrained environments. Traditional iris…”
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Feature Coding in Image Classification: A Comprehensive Study by Huang, Yongzhen, Wu, Zifeng, Wang, Liang, Tan, Tieniu

“…Image classification is a hot topic in computer vision and pattern recognition. Feature coding, as a key component of image classification, has been widely…”
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A system for learning statistical motion patterns by Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Xie, D., Tieniu Tan, Maybank, S.

“…Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns…”
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LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution by Wang, Yunlong, Liu, Fei, Zhang, Kunbo, Hou, Guangqi, Sun, Zhenan, Tan, Tieniu

“…The low spatial resolution of light-field image poses significant difficulties in exploiting its advantage. To mitigate the dependency of accurate depth or…”
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Meta-SR: A Magnification-Arbitrary Network for Super-Resolution by Hu, Xuecai, Mu, Haoyuan, Zhang, Xiangyu, Wang, Zilei, Tan, Tieniu, Sun, Jian

“…Recent research on super-resolution has achieved great success due to the development of deep convolutional neural networks (DCNNs). However, super-resolution…”
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Deep semantic ranking based hashing for multi-label image retrieval by Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan

“…With the rapid growth of web images, hashing has received increasing interests in large scale image retrieval. Research efforts have been devoted to learning…”
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Learning Coupled Feature Spaces for Cross-Modal Matching by Wang, Kaiye, He, Ran, Wang, Wei, Wang, Liang, Tan, Tieniu

“…Cross-modal matching has recently drawn much attention due to the widespread existence of multimodal data. It aims to match data from different modalities, and…”
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Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting by Ren, Weiqiang, Huang, Kaiqi, Tao, Dacheng, Tan, Tieniu

“…Localizing objects of interest in images when provided with only image-level labels is a challenging visual recognition task. Previous efforts have required…”
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