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科研成果  
     论文
2014年论文集

专著、编著
 
1 Ran He, Bao-Gang Hu, Xiaotong Yuan and Liang Wang, Robust Recognition via Information Theoretic Learning, Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-07415-3.
2 Yongzhen Huang and Tieniu Tan, Feature Coding for Image Representation and Recognition, Springer, 2014.
 
国际期刊
 
1 Ran He, Wei-Shi Zheng, Tieniu Tan and Zhenan Sun, “Half-Quadratic Based Iterative Minimization for Robust Sparse Representation,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 2, pp. 261-275, 2014.
2 Ran He, Tieniu Tan and Liang Wang, “Robust Recovery of Corrupted Low-Rank Matrix by Implicit Regularizers,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 4, pp. 770-783, 2014.
3 Zhenan Sun, Hui Zhang, Tieniu Tan and Jianyu Wang, “Iris Image Classification Based on Hierarchical Visual Codebook,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI) , vol. 36, no. 6, pp. 1120-1133, 2014.
4 Jing Liu, Zhenan Sun and Tieniu Tan, “Distance Metric Learning for Recognizing Low-Resolution Iris Images,” Neurocomputing, vol.144, pp. 484-492, 2014.
5 Yongzhen Huang, Zifeng Wu, Liang Wang and Tieniu Tan, “Feature Coding in Image Classification: A Comprehensive Study,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 3, pp. 493-506, 2014.
6 Yongzhen Huang, Zifeng Wu, Liang Wang and Chunfeng Song, “Multiple Spatial Pooling for Visual Object Recognition,” Neurocomputing, vol.129, pp. 225-231, April 2014.
7 Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang and Changyin Sun, “Spatial Modeling Via Feature Co-pooling and SG Grafting,” Neurocomputing, vol. 139,pp. 415-422, September 2014.
8 Jingyu Liu, Yongzhen Huang, Liang Wang and Shu Wu, “Hierarchical Feature Coding for Image Classification,” Neurocomputing, vol. 144, pp. 509-515, November 2014.
9 Zhen Zhou, Li Zhong and Liang Wang, “Locally Incremental Visual Cluster Analysis Using Markov Random Field,” Neurocomputing, vol. 136, pp. 49-55, July 2014.
10 Xiaotang Chen, Kaiqi Huang and Tieniu Tan, “Object Tracking Across Non-overlapping Views by Learning Inter-camera Transfer Models,” Pattern Recognition, vol. 47, no. 3, pp. 1126-1137, 2014.
11 Yunqi Tang, Zhenan Sun and Tienu Tan, “Slice Representation of Range Data for Head Pose Estimation,” Computer Vision and Image Understanding, vol. 128, pp. 18-35, 2014.
12 Zhenhua Chai, Heydi Méndez-Vázquez, Ran He, Zhenan Sun and Tieniu Tan, “Explore Semantic Pixel Sets Based Local Patterns With Information Entropy for Face Recognition,” EURASIP J. Image and Video Processing, vol. 26, no. 1, pp. 14-26, 2014.
13 Zhenan Sun, Libin Wang and Tieniu Tan, “Ordinal Feature Selection for Iris and Palmprint Recognition,” IEEE Trans. on Image Processing, vol. 23, no. 9, pp.3922-3934, 2014.
14 Worapan Kusakunniran, Qiang Wu, Hongdong Li and Liang Wang, “Recognizing Gaits Across Views Through Correlated Motion Co-Clustering,” IEEE Trans. on Image Processing, vol. 23, no. 2,pp. 696-709, February 2014.
15 Liang Wang and Chuan Li, “Spectrum-Based Kernel Length Estimation for Gaussian Process Classification,” IEEE Trans. on Cybernetics, vol. 44, no.6, pp. 805-816, June 2014.
16 Shigeru Katagiri, Atsushi Nakamura, Tülay Adali, Jianhua Tao, Jan Larsen and Tieniu Tan, “Guest Editorial: Machine Learning for Signal Processing,” Signal Processing Systems, vol. 74, no. 3, pp. 281-283, 2014.
17 Zhenhua Chai, Zhenan Sun, Heydi Méndez-Vázquez, Ran He and Tieniu Tan, “Gabor Ordinal Measures for Face Recognition,” IEEE Trans. on Information Forensics and Security, vol. 9, no. 1, pp. 14-26, 2014.
18 Wei Wang, Jing Dong and Tieniu Tan, “Exploring DCT Coefficient Quantization Effects for Local Tampering Detection”, IEEE Trans. on Information Forensics and Security, vol. 9, no. 10, pp.1653-1666, 2014.
19 Michele Nappi, Vincenzo Piuri, Tieniu Tan and David Zhang, “Introduction to the Special Section on Biometric Systems and Applications,” IEEE Trans. on Systems, Man and Cybernetics, Systems, vol. 44, No. 11, pp. 1457-1460, 2014.
 
国际会议
 
1 Shu Zhang, Man Zhang, Ran He and Zhenan Sun, “Transform-Invariant Dictionary Learning for Face Recognition,” Proc. IEEE International Conference on Image Processing, pp. 348-352, October 2014, Paris, France.
2 Chong Wang, Weiqiang Ren, Kaiqi Huang, “Window Mining by Clustering Mid-Level Representation for Weakly Supervised Object Localization,” Proc. International Conference on Image Processing, pp.4067-4071, October 2014, Paris, France.
3 Weihua Chen, Lijun Cao, Xiaotang Chen, Kaiqi Huang, “A Novel Solution for Multi-Camera Object Tracking,” Proc. IEEE International Conference on Image Processing, pp. 2329-2333 October 2014, Paris, France.
4 Zairan Wang, Jing Dong, Wei Wang and Tieniu Tan, “An Effective Watermarking Method against Valumetric Distortions,” Proc. IEEE International Conference on Image Processing, pp. 5487-5491, October 2014, Paris, France.
5 Dong Wang, Qiyue Yin, Ran He, Liang Wang and Tieniu Tan, “Semi-Supervised Subspace Segmentation,” Proc. IEEE International Conference on Image Processing, pp. 2854-2858, October 2014, Paris, France.
6 Zairan Wang, Jing Dong, Wei Wang and Tieniu Tan, “Improved Robust Watermarking Based on Rational Dither Modulation,” Proc. Advances in Image and Graphics Technologies, vol.437 , pp. 305-314, June 2014, Beijing, China.
7 Pengcheng Liu, eipei Yang, Kaiqi Huang, Tieniu Tan and Hongwei Hao, “Semi-Supervised Learning for Cross-Device Visual Location Recognition,” Proc. International Conference on Pattern Recognition, pp.2873-2878, August 2014, Stockholm, Sweden.
8 Chong Wang, Junge Zhang, PeiPei Yang and Kaiqi Huang, “Robust Object Recognition via Visual Pathway Feedback,” Proc. International Conference on Pattern Recognition, pp.604-607, August 2014, Stockholm, Sweden.
9 Yanhua Cheng, Xin Zhao, Kaiqi Huang and Tieniu Tan “Semi-supervised Learning for RGB-D Object Recognition,” Proc. International Conference on Pattern Recognition, pp. 2377-2382, August 2014, Stockholm, Sweden.
10 Kangwei Liu, Junge Zhang, Kaiqi Huang, “Improved Optimization Based on Graph Cuts for Discrete Energy Minimization,” Proc. International Conference on Pattern Recognition, pp.2424-2429, August 2014, Stockholm, Sweden.
11 Weiqiang Ren, Yinan Yu, Junge Zhang, Kaiqi Huang, “Learning Convolutional NonLinear Features for K Nearest Neighbor Image Classification,” Proc. International Conference on Pattern Recognition, pp.2938-2943, August 2014, Stockholm, Sweden.
12 Wei Wang, Yan Huang, Yizhou Wang and Liang Wang, “Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition Workshops, pp. 496-503, June 2014, Columbus, USA.
13 Peihao Huang, Yan Huang, Wei Wang and Liang Wang, “Deep Embedding Network for Clustering,” Proc. International Conference on Pattern Recognition, pp. 1532-1537, August 2014, Stockholm, Sweden.
14 Yan Huang, Wei Wang, Liang Wang and Tieniu Tan, “A General Nonlinear Embedding Framework Based on Deep Neural Network,” Proc. International Conference on Pattern Recognition, pp. 732-737, August 2014, Stockholm, Sweden.
15 Zifeng Wu, Yongzhen Huang, Liang Wang and Tieniu Tan, “Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation,” Proc. International Conference on Pattern Recognition, pp. 1538-1543, August 2014, Stockholm, Sweden.
16 Baoxing Wang, Qiyue Yin, Shu Wu and Liang Wang, “Discriminative Representative Selection via Structure Sparsity,” Proc. International Conference on Pattern Recognition, pp. 1401-1406, August 2014, Stockholm, Sweden.
17 Di Miao, Zhenan Sun and Yongzhen Huang, “Fusion of Multibiometrics Based on A New Robust Linear Programming,” Proc. International Conference on Pattern Recognition, pp. 291-296, August 2014, Stockholm, Sweden.
18 Man Zhang, Jing Liu, Zhenan Sun, et al, “The First ICB Competition on Iris Recognition,” Proc. International Joint Conference on Biometrics, Sep 29- Oct 2 2014, Florida USA.
19 Chi Zhang, Guangqi Hou, Zhenan Sun and Tieniu Tan, “Efficient Auto-Refocusing of Iris Images for Light-Filed Cameras,” Proc. International Joint Conference on Biometrics, Sep 29- Oct 2 2014, Florida USA.
20 Jie Gui, Zhenan Sun, Guangqi Hou and Tieniu Tan, “An Optimal Set of Code Words and Correntropy for Rotated Least Squares Regression,” Proc. International Joint Conference on Biometrics, Sep 29- Oct 2 2014, Florida USA.
21 Chong Wang, Weiqiang Ren, Kaiqi Huang and Tieniu Tan, “Weakly Supervised Object Localization with Latent Category Learning, ” Proc. European Conference on Computer Vision, pp. 431-445, September 2014, Zurich, Switzerland.
22 Yanhu Shan, Zhang Zhang, Kaiqi Huang, “Learning Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition”, Proc. Europe Conference on Computer Vision Workshops, September 2014, Zurich, Switzerland.
23 Kangwei Liu, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Deformable Object Matching via Deformation Decomposition based 2D Label MRF, ” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2321 - 2328, June 2014, Columbus, America.
24 Zairan Wang, Jing Dong, Wei Wang and Tieniu Tan, “Effects of Fragile and Semi-Fragile Watermarking on Iris Recognition Systems,” Proc. International Workshop on Digital-forensics and Watermarking, October 2014, Taipei, Taiwan.
25 Lijun Cao, Xu Zhang, Weihua Chen, Kaiqi Huang, “License Plate Localization With Efficient Markov Chain Monte Carlo,” Proc. International Conference on Internet Multimedia Computing and Service, pp. 295-298, July 2014, Xiamen, China.
26 Lijun Cao, Weihua Chen, Xu Zhang, Kaiqi Huang, “A Smart Meeting Management System with Video Based Seat Detection,” Proc. International Conference on Internet Multimedia Computing and Service, pp. 232-235, July 2014, Xiamen, China.
 
国内期刊
 
1  唐云祁, 孙哲南, 谭铁牛, “头部姿势估计综述,” 模式识别与人工智能, vol. 27, no. 3, pp. 213-225, 2014.
2  黄凯奇, 任伟强, 谭铁牛, “图像物体分类与检测算法综述,” 计算机学报, vol. 37, no. 6, pp. 1225-1240, 2014.
 
国内会议
 
 1 Shu Zhang, Guangqi Hou and Zhenan Sun, “Eyelash Removal Using Light Field Camera for Iris Recognition,” Proc. Chinese Conference on Biometric Recognition, vol.8833, pp. 319-327, November 2014, Shengyang, China.
2 Haiqing Li, Zhenan Sun, Man Zhang, Libin Wang, Lihu Xiao and Tieniu Tan, “A Brief Survey on Recent Progress in Iris Recognition,” Proc. Chinese Conference on Biometric Recognition, vol.8833, pp. 288-300, November 2014, Shenyang, China.
3 Muhammad Rauf, Yongzhen Huang and Liang Wang, “Encoding Optimization Using Nearest Neighbor Descriptor,” Proc. Chinese Conference on Pattern Recognition, pp. 81-88, November 2014, Changsha, China.
 

 
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