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<h1 style="padding-left: 0.5em">Guangwei Gao (高广谓)</h1><hr>
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<!--<h1><hr><a name="profact"></a>Patents</h1>-->
<h1 style="margin-top: 0em">Patents</h1>
<h2>Invention Grants:</h2>
<!-- <ul>
<li><p> A computer aided corpus extraction method, <b>Chen Gong</b>, Xinchao Guan, Jie Yang, CN102270242B </p></li>
<li><p> A graph construction method by combining pairwise and neighborhood information of data points, <b>Chen Gong</b>, Keren Fu, Jie Yang, CN103093239A </p></li>
<li><p> A method of human action recognition, <b>Chen Gong</b>, Keren Fu, Jie Yang, CN103164694A </p></li>
<li><p> A saliency detection method based on geodesic distance, Keren Fu, <b>Chen Gong</b>, Jie Yang, CN103208115A </p></li>
<li><p> A fighting behavior detection method based on space-time interest points, Long Xu, Jie Yang, <b>Chen Gong</b>, CN103279737A </p></li>
<li><p> A new method of multi lane detection, Bi-Ke Chen, Jian Yang, <b>Chen Gong</b>, CN107045629B </p></li>
</ul>-->
<ul>
<li><p> 一种基于Gabor响应域重构的指关节纹识别方法，ZL201510152822.6 </p></li>
<li><p> 基于核范数正则低秩编码的风机叶片图像故障识别方法, ZL201511019000.7 </p></li>
<li><p> 一种基于双核范数正则的多姿态人脸图像质量增强方法，ZL201710223815.X </p></li>
<li><p> 基于耦合字典学习的低秩核范数正则人脸图像超分辨方法，ZL201710328907.4 </p></li>
<li><p> 一种基于多尺度上下文信息融合的鲁棒人脸识别方法，ZL201911163739.3 </p></li>
<li><p> 一种基于卷积神经网络特征的跨质量人脸识别方法，ZL201911164077.1 </p></li>
<li><p> 一种基于局部和稀疏非局部正则的人脸图像超分辨率方法，ZL201910051451.0 </p></li>
<li><p> 基于上下文注意力机制和信息融合的实时语义分割方法，ZL202011439171.6 </p></li>
<li><p> 一种基于知识蒸馏的可见光-红外跨模态行人重识别方法，ZL202011489557.8 </p></li>
<li><p> 一种联合人脸去口罩和超分辨率的图像处理系统和方法，ZL202011494588.2 </p></li>
<!--<li><p> 基于测地线距离的图像显著性区域检测方法，傅可人、<b>宫辰</b>、杨杰，CN103208115A </p></li>-->
<!--<li><p> 基于核范数正则低秩编码的风机叶片图像故障识别方法,许龙、杨杰、<b>宫辰</b>，CN103279737A </p></li>-->
<!--<li><p> 一种多车道线检测新方法，陈必科、杨健、<b>宫辰</b>，CN107045629B </p></li>-->
</ul>
<h2>Invention Disclose:</h2>
<!--<ul>
<li><p> A robust image clustering method，Jingchen Ke, <b>Chen Gong</b>, 201811309177.4 </p></li>
<li><p> A new image clustering method, Yao Yao, <b>Chen Gong</b>, Jian Yang, 201810450932.4 </p></li>
<li><p> A one-class classification method for breast cancer data, Hong Shi, <b>Chen Gong</b>, Yang Wei, Jian Yang, 201910389044.0 </p></li>
</ul>-->
<ul>
<li><p> 基于耦合字典学习的低秩核范数正则人脸图像超分辨方法，201710328907.4 </p></li>
<li><p> 基于双低秩表示和局部约束矩阵回归的鲁棒图像识别方法，201710569014.9 </p></li>
<li><p> 一种基于特征表示集的跨分辨率人脸识别方法，201910055693.7 </p></li>
<li><p> 基于L2正则化梯度约束稀疏表示的人脸识别方法，201910733434.5 </p></li>
<li><p> 一种基于多尺度通道注意力机制的单幅图像超分辨率方法，202011418695.X </p></li>
<li><p> 上下文聚合网络以及基于该网络的图像实时语义分割方法，202210486074.5 </p></li>
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