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2016年论文集

国际期刊
 
1 Weiqiang Ren, Kaiqi Huang, Dacheng Tao and Tieniu Tan, “Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 38, no. 2, pp. 405-416, 2016.
2 Kaiye Wang, Ran He, Liang Wang, Wei Wang and Tieniu Tan, “Joint Feature Selection and Subspace Learning for Cross-modal Retrieval,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 38, no. 10, pp. 2010-2023, 2016.
3 Jianwei Ding, Yongzhen Huang, Wei Liu and Kaiqi Huang, “Severely Blurred Object Tracking by Learning Deep Image Representations,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 26, no.2, pp. 319-331, 2016.
4 Jianwei Ding, Yunqi Tang, Huawei Tian, Wei Liu and Yongzhen Huang, “Robust Tracking With Adaptive Appearance Learning and Occlusion Detection,” Multimedia Systems, vol. 22, no.2, pp. 255-269, 2016.
5 Yueying Kao, Kaiqi Huang and Steve Maybank, “Hierarchical Aesthetic Quality Assessment Using Deep Convolutional Neural Networks,” Signal Processing: Image Communication, vol. 47, pp. 500-510, 2016.
6 Jie Gui, Tongliang Liu, Dacheng Tao, Zhenan Sun and Tieniu Tan, “Representative Vector Machines: A Unified Framework For Classical Classifiers,” IEEE Trans. on Cybernetics, vol. 46, no. 8, pp. 1877-1888, 2016.
7 Yunlian Sun, Kamal Nasrollahi, Zhenan Sun and Tieniu Tan, “Complementary Cohort Strategy for Multimodal Face Pair Matching,” IEEE Trans. on Information Forensics and Security, vol. 11, no. 5, pp. 937-950, 2016.
8 Qi Li, Zhenan Sun,Zhouchen Lin, Ran He and Tieniu Tan, “Transformation Invariant Subspace Clustering,” Pattern Recognition, vol. 59, pp. 142-155, 2016.
9 Nianfeng Liu, Man Zhang, Haiqing Li, Zhenan Sun and Tieniu Tan, “DeepIris: Learning Pairwise Filter Bank for Heterogeneous Iris Verification,” Pattern Recognition Letters, vol. 82, no. 2, pp. 154-161, 2016.
10 Fang Zhao, Yongzhen Huang, Liang Wang, Tao Xiang and Tieniu Tan, “Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding,” International Journal of Computer Vision, vol. 119, no. 3, pp. 329-345, 2016.
11 Shu Wu, Qiang Liu, Liang Wang and Tieniu Tan, “Contextual Operation for Recommender Systems,” IEEE Trans. on Knowledge and Data Engineering, vol. 28, no. 8, pp. 2000-2012, 2016.
12 Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Optimized 3D Lighting Environment Estimation for Image Forgery Detection,” IEEE Trans. on Information Forensics and Security, vol. 12, no. 2, pp. 479-494, 2016.
13 Yong Du, Yun Fu and Liang Wang, “Representation Learning of Temporal Dynamics for Skeleton Based Action Recognition,” IEEE Trans. on Image Processing, vol. 25, no. 7, pp. 3010-3022, 2016.
14 Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, "Personalized ranking with pairwise Factorization Machines", Neurocomputing, vol. 214, pp. 191-200, 2016.
15 Shu Wu, Weiyu Guo, Song Xu, Yongzhen Huang, Liang Wang and Tieniu Tan, "Coupled Topic Model for Collaborative Filtering With User-Generated Content", IEEE Trans. Human-Machine Systems, vol. 46, no.6, pp. 908-920, 2016.
16 Zairan Wang, Jing Dong and Wei Wang, “Quantization based watermarking methods against valumetric distortions,” International Journal of Automation and Computing, pp. 1-14, 2016.
17 Ran He, Liang Wang, Zhenan Sun, Yingya Zhang and Bo Li, “Information Theoretic Subspace Clustering,” IEEE Trans. on Neural Network and Learning System, vol. 27, no. 12, pp. 2643-2655, 2016.
18 Chuan Qin, Xueqin Chen, Jing Dong and Xinpeng Zhang, “Perceptual Image Hashing With Selective Sampling for Salient Structure Features,” Displays, vol. 45, pp. 26-37, 2016.
 
国际会议
 
1 Man Zhang, Ran He, Dong Cao, Zhenan Sun and Tieniu Tan, “Simultaneous Feature and Sample Reduction for Image-set Classification,” Proc. AAAI Conference on Artificial Intelligence, pp. 1401-1407, February 2016, Phoenix, USA.
2 Qiang Liu, Shu Wu, Liang Wang and Tieniu Tan, “Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts,” Proc. AAAI Conference on Artificial Intelligence, pp. 194-200, February 2016, Phoenix, USA.
3 Shu Wu, Qiang Liu, Ping Bai, Liang Wang and Tieniu Tan, “SAPE: A System for Situation-Aware Public Security Evaluation,” Proc. AAAI Conference on Artificial Intelligence, pp. 4401-4402, February 2016, Phoenix, USA.
4 Shu Wu, Qiang Liu, Yong Liu, Liang Wang and Tieniu Tan, “Information Credibility Evaluation on Social Media,” Proc. AAAI Conference on Artificial Intelligence, pp. 4403-4404, February 2016, Phoenix, USA.
5 Xiaoxiang Liu, Lingxiao Song, Xiang Wu and Tieniu Tan, “Transferring Deep Representation for NIR-VIS Heterogeneous Face Recognition,” Proc. International Conference on Biometrics, June 2016, Halmstad, Sweden.
6 Qi Zhang, Haiqing Li, Zhenan Sun, Zhaofeng He and Tieniu Tan, “Exploring Complementary Features for Iris Recognition on Mobile Devices,” Proc. International Conference on Biometrics, June 2016, Halmstad, Sweden.
7 Nianfeng Liu, Haiqing Li, Man Zhang, Zhenan Sun and Tieniu Tan, “Accurate Iris Segmentation in Non-cooperative Environments Using Fully Convolutional Networks,” Proc. International Conference on Biometrics, June 2016, Halmstad, Sweden.
8 Shu Zhang, Ran He, Zhenan Sun and Tieniu Tan, “Multi-task ConvNet for Blind Face Inpainting with Application to Face Verification,” Proc. International Conference on Biometrics, June 2016, Halmstad, Sweden.
9 Feng Yu, Qiang Liu, Shu Wu, Liang Wang and Tieniu Tan, “A Dynamic Recurrent Model for Next Basket Recommendation,” Proc. ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 729-732, July 2016, Pisa, Italy.
10 Jian Liang, Ran He, Zhenan Sun and Tieniu Tan, “Group-Invariant Cross-Modal Subspace Learning,” Proc. International Joint Conference on Artificial Intelligence , pp. 1739-1745, July 2016, New York, USA.
11 Dekui Ma, Jian Liang, Xiangwei Kong and Ran He, “Frustratingly Easy Cross-Modal Hashing,” Proc. ACM International Conference on Multimedia, pp. 237-241, October 2016, Amsterdam, Netherlands.
12 Man Zhang, Qi Zhang, Zhenan Sun, Tieniu Tan, Shujuan Zhou and Nasir Uddin Ahmed, “The BTAS∗ Competition on Mobile Iris Recognition,” Proc. IEEE International Conference on Biometrics: Theory, Applications and Systems, September 2016, New York, USA.
13 Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Automatic Detection of 3D Lighting Inconsistencies via a Facial Landmark based Morphable Model,” Proc. International Conference on Image Processing, pp. 3932-3936, September 2016, Phoenix, USA.
14 Yinlong Qian, Wei Wang, Jing Dong and Tieniu Tan, “Learning and Transferring Representations for Image Steganalysis Using Convolutional Neural Network,” Proc. International Conference on Image Processing, pp. 2752-2756, September 2016, Phoenix, USA.
15 Yunlong Wang, Guangqi Hou, Zhenan Sun, Zilei Wang and Tieniu Tan, “A Simple and Robust Super Resolution Method for Light Field Images,” Proc. International Conference on Image Processing, pp. 1459-1463, September 2016, Phoenix, USA.
16 Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang and Ran He, “Discriminative Analysis Dictionary Learning”, Proc. AAAI Conference on Artificial Intelligence, pp. 1617-1623, February 2016, Phoenix, USA.
17 Jian Liang, Zhihang Li, Dong Cao, Ran He and Jingdong Wang, “Self-Paced Cross-Modal Subspace Matching,” Proc. ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 569-578, July 2016, Pisa, Italy.
18 Yanhua Cheng, Xin Zhao, Rui Cai, Zhiwei Li, Kaiqi Huang and Yong Rui, “Semi-supervised Multimodal Deep Learning for RGB-D Object Recognition,” Proc. International Joint Conference on Artificial Intelligence, pp. 3345-3351, July 2016, New York, USA.
19 Kangwei Liu, Junge Zhang, Peipei Yang and Kaiqi Huang, “FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of MRFs with Two-Dimensional Labels,” Proc. International Joint Conference on Artificial Intelligence, pp. 624-630, July 2016, New York, USA.
20 Lingxiao He, Haiqing Li, Fei Liu, Nianfeng Liu and Zhenan Sun, “Multi-patch Convolution Neural Network for Iris Liveness Detection,” Proc. IEEE International Conference on Biometrics: Theory, Applications and Systems, September 2016, New York, USA.
21 Lingxiao He, Haiqing Li, Qi Zhang and Zhenan Sun, “Multiscale Representation for Partial Face Recognition under Near Infrared Illumination,” Proc. IEEE International Conference on Biometrics: Theory, Applications and Systems, September 2016, New York, USA.
22 Weiqi Zhao, Zhang Zhang and Kaiqi Huang, “Joint Crowd Ddtection and Semantic Scene Modeling Using a Gestalt Laws-based Similarity,” Proc. International Conference on Image Processing, pp. 1220-1224, September 2016, Phoenix, USA.
23 Qiaozhe Li, Xin Zhao and Kaiqi Huang, “Learning Temporally Correlated Representations Using Lstms for Visual Tracking,” Proc. International Conference on Image Processing, pp. 1614-1618, September 2016, Phoenix, USA.
24 Zhang Zhang, Kaiqi Huang, Tieniu Tan, Peipei Yang and Jun Li, “ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 752-760, July 2016, Las Vegas, Nevada, USA.
25 Deepak Kumar Jain, Zhang Zhang and Kaiqi Huang, “Hybrid Patch Based Diagonal Pattern Geometric Appearance Model for Facial Expression Recognition,” Proc. Chinese Conference on Intelligent Visual Surveillance (IVS), pp. 752-760, October 2016, Beijing, China.
26 Hongsong Wang, Wei Wang and Liang Wang, “How Scene Implies Action in Realistic Videos,” Proc. International Conference on Image Processing, pp. 1619-1623, September 2016, Phoenix, USA.
27 Kaihao Zhang, Yongzhen Huang, Ran He, Hong Wu and Liang Wang, “Localize Heavily Occluded Human Faces via Deep Segmentation,” Proc. International Conference on Image Processing, pp. 2648-2655, September 2016, Phoenix, USA.
28 Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li and Liang Wang, “Context-aware Sequential Recommendation”, Proc. IEEE International Conference on Data Mining (ICDM), December 2016, Barcelona, Spain.
29 Guangqi Hou, Chi Zhang and Zhenan Sun, “4D Light-field Sensing System for People Counting,” Smart Photonic and Optoelectronic Integrated Circuits XVIII, February 2016, San Francisco, California, United States.
30 Yuqi Zhang, Yongzhen Huang and Liang Wang, “What makes for good multiple object trackers,” Proc. International Conference on Digital Signal Processing, October 2016, Beijing, China.
31 Shuxuan Guo, Li Liu, Wei Wang, Songyang Lao and Liang Wang, “An Attention Model Based on Spatial Transformers for Scene Recognition,” Proc. International Conference on Pattern Recognition, December 2016, Cancun, Mexico.
32 Wenkai Dong, Shu Zhang and Ran He, “Digital Recognition From Lip Texture Analysis,” Proc. International Conference on Digital Signal Processing, October 2016, Beijing, China.
33 Zhihe Lu, Xiang Wu and Ran He, “Person Identification from Lip Texture Analysis,” Proc. International Conference on Digital Signal Processing, October 2016, Beijing, China.
34 Jie Cao, Haiqing Li, Zhenan Sun and Ran He, “Accurate mouth status detection via CNN,” Proc. International Conference on Digital Signal Processing, October 2016, Beijing, China.
35 Jun Guo, Yanqing Guo, Bo Wang, Xiangwei Kong and Ran He, “Topology Preserving Dictionary Learning for Pattern Classification,” Proc. International Joint Conference on Neural Networks, pp. 1709-1715, July 2016, Vancouver, Canada.
36 Linlin Cao, Ran He and Baogang Hu, “Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints,” Proc. International Joint Conference on Neural Networks, pp. 4795-4802, July 2016, Vancouver, Canada.
37 Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, “Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval,” Proc. International Symposium on Multimedia, San Jose, California, USA, December 2016.
 
国内期刊
 
1 张驰, 刘菲, 侯广琦, 孙哲南, 谭铁牛, “光场成像技术及其在计算机视觉中的应用,” 中国图象图形学报, vol. 21, no. 3, pp. 263-281, 2016.
2 吴书, 刘强, 王亮, “情境大数据建模及其在用户行为预测中的应用,” 大数据杂志, vol. 2, no. 6, pp. 110-117, 2016.
 
国内会议
 
1 Muhammad Rauf, Yongzhen Huang and Liang Wang, “Gait Retrieval: A Deep Hashing Method for People Retrieval in Video”, Proc. Chinese Conference on Pattern Recognition, pp. 383-391, November 2016, Chengdu, China.
2 Qi Zhang, Haiqing Li, Zhaofeng He and Zhenan Sun, “Image Super-Resolution for Mobile Iris Recognition,” Proc. Chinese Conference on Biometric Recognition, pp. 399-406, October 2016, Chengdu, China.
3 Xiaoxiang Liu, Xiaobo Sun, Ran He and Tieniu Tan, “Recent Advances on Cross-Domain Face Recognition,” Proc. Chinese Conference on Biometric Recognition, pp. 147-157, October 2016, Chengdu, China.
 

 
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