Deep Aging Face Verification With Large Gaps von Liu, Luoqi, Xiong, Chao, Zhang, Hanwang, Niu, Zhiheng, Wang, Meng, Yan, Shuicheng

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Layerwise Class-Aware Convolutional Neural Network von Cui, Zhen, Niu, Zhiheng, Liu, Luoqi, Yan, Shuicheng

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Facial Shape Localization Using Probability Gradient Hints von Zhiheng Niu, Zhiheng Niu, Shiguang Shan, Shiguang Shan, Xilin Chen, Xilin Chen

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2D Cascaded AdaBoost for Eye Localization von Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Gao, Wen

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Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment von Xing, Junliang, Niu, Zhiheng, Huang, Junshi, Hu, Weiming, Zhou, Xi, Yan, Shuicheng

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Kinship-Guided Age Progression von Shu, Xiangbo, Tang, Jinhui, Lai, Hanjiang, Niu, Zhiheng, Yan, Shuicheng

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Proactive Drive Failure Prediction for Cloud Storage System Through Semi-Supervised Learning von Zhou, Hao, Niu, Zhiheng, Wang, Gang, Liu, Xiaoguang, Liu, Dongshi, Kang, Bingnan, Hu, Zheng, Zhang, Yong

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Stagged multi-scale LBP for pedestrian detection von Yunyun Cao, Pranata, S., Yasugi, M., Zhiheng Niu, Nishimura, H.

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Learning supervised descent directions for optic disc segmentation von Li, Annan, Niu, Zhiheng, Cheng, Jun, Yin, Fengshou, Wong, Damon Wing Kee, Yan, Shuicheng, Liu, Jiang

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Recurrent Shape Regression von Cui, Zhen, Xiao, Shengtao, Niu, Zhiheng, Yan, Shuicheng, Zheng, Wenming

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Context modeling for facial landmark detection based on Non-Adjacent Rectangle (NAR) Haar-like feature von Zhao, Xiaowei, Chai, Xiujuan, Niu, Zhiheng, Heng, Cherkeng, Shan, Shiguang

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Enhance ASMs Based on AdaBoost-Based Salient Landmarks Localization and Confidence-Constraint Shape Modeling von Niu, Zhiheng, Shan, Shiguang, Chen, Xilin, Ma, Bingpeng, Gao, Wen

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DeepED: A Deep Learning Framework for Estimating Evolutionary Distances von Liu, Zhuangzhuang, Ren, Mingming, Niu, Zhiheng, Wang, Gang, Liu, Xiaoguang

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Context constrained facial landmark localization based on discontinuous Haar-like feature von Xiaowei Zhao, Xiujuan Chai, Zhiheng Niu, Cherkeng Heng, Shiguang Shan

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METHODS AND SYSTEMS FOR DETERMINING A CONVERSION RULE von NIU, Zhiheng, SU, Yu, SCHOELER, Markus

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METHODS AND SYSTEMS FOR DETERMINING A CONVERSION RULE von NIU, Zhiheng, SU, Yu, SCHOELER, Markus

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Method for classifying a tracked object von Niu, Zhiheng, Grumpe, Arne, Zhu, Weimeng, Kaestner, Florian

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The Visual Object Tracking VOT2013 challenge results von Kristan, Matej, Pflugfelder, Roman, Leonardis, Ales, Matas, Jiri, Porikli, Fatih, Cehovin, Luka, Nebehay, Georg, Fernandez, Gustavo, Vojir, Tomas, Gatt, Adam, Khajenezhad, Ahmad, Salahledin, Ahmed, Soltani-Farani, Ali, Zarezade, Ali, Petrosino, Alfredo, Milton, Anthony, Bozorgtabar, Behzad, Li, Bo, Seng Chan, Chee, Heng, CherKeng, Ward, Dale, Kearney, David, Monekosso, Dorothy, Can Karaimer, Hakki, Rabiee, Hamid R., Zhu, Jianke, Gao, Jin, Xiao, Jingjing, Zhang, Junge, Xing, Junliang, Huang, Kaiqi, Lebeda, Karel, Cao, Lijun, Edoardo Maresca, Mario, Kuan Lim, Mei, ELHelw, Mohamed, Felsberg, Michael, Remagnino, Paolo, Bowden, Richard, Goecke, Roland, Stolkin, Rustam, YueYing Lim, Samantha, Maher, Sara, Poullot, Sebastien, Wong, Sebastien, Satoh, Shinichi, Chen, Weihua, Hu, Weiming, Zhang, Xiaoqin, Li, Yang, Niu, ZhiHeng

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METHOD FOR CLASSIFYING A TRACKED OBJECT von NIU, Zhiheng, KAESTNER, Florian, GRUMPE, Arne, ZHU, Weimeng

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Method for Classifying a Tracked Object von Niu, Zhiheng, Grumpe, Arne, Zhu, Weimeng, Kaestner, Florian

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