国际期刊

1 Qiyue Yin, Shu Wu, Ran He and Liang Wang, “Multi-view Clustering via Pairwise Sparse Subspace Representation,” Neurocomputing, vol. 156, pp.12-21, 2015. 2 Junge Zhang, Yanhu Shan and Kaiqi Huang, “ISEE Smart Home (ISH): Smart Video Analysis for Home Security,” Neurocomputing, vol. 149, pp.752-766, 2015. 3 Jianwei Ding, Yunqi Tang, Wei Liu, Yongzhen Huang and Kaiqi Huang, “Tracking by Local Structural Manifold Learning In A New SSIR Particle Filter,” Neurocomputing, vol. 161, pp.277-289, 2015. 4 Chong Wang and Kaiqi Huang, “How to Use Bag-of-words Model Better for Image Classification,” Image and Visual Computing, vol. 38, pp.65-74, 2015. 5 Chong Wang and Kaiqi Huang, “VFM: Visual Feedback Model for Robust Object Recognition,” Journal of Computer Science and Technology, vol. 30, no. 2, pp. 325-339, 2015. 6 Lijun Cao, Xu Zhang, Weiqiang Ren and Kaiqi Huang, “Large Scale Crowd Analysis Based on Convolutional Neural Network,” Pattern Recognition, vol. 48, no.10, pp. 3016-3024, 2015. 7 Yanhu Shan, Zhang Zhang, Peipei Yang and Kaiqi Huang, “Adaptive Slice Representation for Human Action Classification,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 25, no.10, pp. 1624-1636, 2015. 8 Zifeng Wu, Yongzhen Huang and Liang Wang, “Learning Representative Deep Features for Image Set Analysis,” IEEE Trans. on Multimedia, vol. 17, no.11, pp. 1960-1968, 2015. 9 Yan Huang, Wei Wang and Liang Wang, “Unconstrained Multimodal Multi-Label Learning,” IEEE Trans. on Multimedia, vol. 17, no.11, pp. 1923-1935, 2015. 10 Chong Wang, Kaiqi Huang, Weiqiang Ren, Junge Zhang and Stephen J. Maybank, “Large-Scale Weakly Supervised Object Localization via Latent Category Learning,” IEEE Trans. on Image Processing, vol. 24, no.4, pp. 1371-1385, 2015. 11 Kaiqi Huang, Chong Wang and Dacheng Tao, “High-Order Topology Modeling of Visual Words for Image Classification,” IEEE Trans. on Image Processing, vol. 24, no.11, pp. 3598-3608, 2015. 12 Ran He, Yingya Zhang, Zhenan Sun and Qiyue Yin, “Robust Subspace Clustering with Complex Noise,” IEEE Trans. on Image Processing, vol. 24, no.11, pp. 4001-4013, 2015. 13 Ran He, Man Zhang, Liang Wang, Ye Ji and Qiyue Yin, “Cross-Modal Subspace Learning via Pairwise Constraints,” IEEE Trans. on Image Processing, vol. 24, no.12, pp. 5543-5556, 2015. 14 Shu Zhang, Jian Liang, Ran He and Zhenan Sun, “Code Consistent Hashing based on Information-theoretic Criterion,” IEEE Trans. on Big Data, vol. 1, No. 3, pp. 84-94, 2015. 15 Yanhua Cheng, Xin Zhao, Kaiqi Huang and Tieniu Tan, “Semi-supervised Learning and Feature Evaluation for RGB-D Object Recognition,” Computer Vision and Image Understanding, vol. 139, pp. 149-160, 2015. 16 Ran He, Yinghao Cai, Tieniu Tan and Larry S. Davis, “Learning Predictable Binary Codes for Face Indexing,” Pattern Recognition, vol. 48, No. 10, pp. 3160-3168, 2015.

国际会议

1 Qiang Liu, Shu Wu and Liang Wang, “COT: Contextual Operating Tensor for Context-aware Recommender Systems,” Proc. AAAI Conference on Artificial Intelligence, pp. 203-209, January 2015, Austin, USA. 2 Yong Du, Wei Wang and Liang Wang, “Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1110-1118, June 2015, Boston, USA. 3 Kangwei Liu, Junge Zhang, Peipei Yang and Kaiqi Huang, “GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1761-1769, June 2015, Boston, USA. 4 Fang Zhao, Yongzhen Huang, Liang Wang and Tieniu Tan, “Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1556-1564, June 2015, Boston USA. 5 Kaiye Wang, Wei Wang and Liang Wang, “Learning Unified Sparse Representations for Multi-modal Data,” Proc. IEEE International Conference on Image Processing, pp. 3545-3549, September 2015, Quebec, Canada. 6 Yueying Kao, Chong Wang and Kaiqi Huang, “Visual Aesthetic Quality Assessment with a Regression Model,” Proc. IEEE International Conference on Image Processing, pp. 1583-1587, September 2015, Quebec, Canada. 7 Jingyu Liu, Yongzhen Huang, Xiaojiang Peng and Liang Wang, “Multi-view Descriptor Mining via Codeword Net for Action Recognition,” Proc. IEEE International Conference on Image Processing, pp. 793-797, September 2015, Quebec, Canada. 8 Lianrui Fu, Junge Zhang and Kaiqi Huang, “Context Aware Model for Articulated Human Pose Estimation,” Proc. IEEE International Conference on Image Processing, pp. 991-995, September 2015, Quebec, Canada. 9 Yuqi Zhang, Wei Wang and Liang Wang, “Scene Text Recognition with Deeper Convolutional Neural Networks,” Proc. IEEE International Conference on Image Processing, pp. 2384-2388, September 2015, Quebec, Canada. 10 Qiyue Yin, Shu Wu and Liang Wang, “Partially Tagged Image Clustering,” Proc. IEEE International Conference on Image Processing, pp. 4012-4016, September 2015, Quebec, Canada. 11 Jinde Liu, Xin Zhao, Kaiqi Huang and Tieniu Tan, “Learning Occlusion Patterns Using Semantic Phrases for Object Detection,” Proc. IEEE International Conference on Image Processing, pp. 686-690, September 2015, Quebec, Canada. 12 Xikai Xu, Jing Dong, Wei Wang and Tieniu Tan, “Robust Steganalysis Based on Training Set Construction and Ensemble Classifiers Weighting,” Proc. IEEE International Conference on Image Processing, pp. 1498-1502, September 2015, Quebec, Canada. 13 Fei Liu, Guangqi Hou, Zhenan Sun and Tieniu Tan, “Albedo Assisted High-Quality Shape Recovery from 4D Light Fields,” Proc. IEEE International Conference on Image Processing, pp. 1220-1224, September 2015, Quebec, Canada. 14 Xikai Xu, Jing Dong, Wei Wang and Tieniu Tan, “Local Correlation Pattern for Image Steganalysis,” Proc. IEEE China Summit and International Conference on Signal and Information Processing, pp. 468-472, July 2015, Chengdu, China. 15 Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Detection of Computer Generated Faces in Videos Based on Pulse Signal,” Proc. IEEE China Summit and International Conference on Signal and Information Processing, pp. 841-845, July 2015, Chengdu, China. 16 Kaiye Wang, Wei Wang, Liang Wang and Ran He, “A Two-step Approach to Cross-modal Hashing,” Proc. ACM International Conference on Multimedia Retrieval (ICMR, Short Paper), pp. 459-462, June 2015, Shanghai, China. 17 Song Xu, Shu Wu and Liang Wang, “Personalized Semantic Ranking for Collaborative Recommendation,” Proc. ACM SIGIR Conference on Research and Development in Information Retrieval pp. 971-974, August 2015, Santiago, Chile. 18 Qiang Liu, Shu Wu and Liang Wang, “Collaborative Prediction for Multi-entity Interaction with Hierarchical Representation,” Proc. ACM International Conference on Information and Knowledge Management, pp. 613-622，October 2015, Melbourne, Australia. 19 Qiang Liu, Feng Yu, Shu Wu and Liang Wang, “A Convolutional Click Prediction Model,” Proc. ACM International Conference on Information and Knowledge Management, pp. 1743-1746，October 2015, Melbourne, Australia. 20 Qiyue Yin, Shu Wu and Liang Wang, “Incomplete Multi-view Clustering via Subspace Learning,” Proc. ACM International Conference on Information and Knowledge Management, pp. 383-392，October 2015, Melbourne, Australia. 21 Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, “Social-Relational Topic Model for Social Networks,” Proc. ACM International Conference on Information and Knowledge Management, pp. 1731-1734, October 2015, Melbourne, Australia. 22 Dong Wang, Qiyue Yin, Ran He, Liang Wang and Tieniu Tan, “Multi-view Clustering via Structured Low-Rank Representation,” Proc. ACM International Conference on Information and Knowledge Management, pp. 1911-1914, October 2015, Melbourne, Australia. 23 Di Miao, Man Zhang, Haiqing Li, Zhenan Sun and Tieniu Tan, “Bin-based Weak Classifier Fusion of Iris and Face Biometrics,” Proc. IEEE International Conference on Biometrics: Theory, Applications and Systems, pp. 1-6, September 2015, Washington, USA. 24 Yasser Chacon-Cabrera, Man Zhang, Eduardo Garea Llano and Zhenan Sun, “Iris Texture Description Using Ordinal Co-occurrence Matrix Features,” Proc. Iberoamerican Congress on Pattern Recognition, pp. 184-191，November 2015, Montevideo, Uruguay. 25 Lingxiao Song, Man Zhang, Zhenan Sun, Jian Liang and Ran He, “Two-Step Greedy Subspace Clustering,” Proc. Pacific-Rim Conference on Multimedia, pp. 45-54，September 2015, Gwangju, Korea. 26 Feng Liu, Yongzhen Huang, Wankou Yang and Changyin Sun, “High-level Spatial Modeling in Convolutional Neural Network with Application to Pedestrian Detection,” Proc. IEEE Canadian Conference on Electrical and Computer Engineering, pp. 778-783，May 2015, Halifax, Nova Scotia, Canada. 27 Qiyue Yin, Shu Wu and Liang Wang, “Learning to Hash for Recommendation with Tensor Data,” Proc. Asia Pacific Web Conference, pp. 292-303, September 2015, Guangzhou, China. 28 Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, “Multiple Attribute Aware Personalized Ranking,” Proc. Asia Pacific Web Conference, pp. 244-255, September 2015, Guangzhou, China. 29 Yanhua Cheng, Rui Cai, Xi Zhao and Kaiqi Huang, “Convolutional Fisher Kernels for RGB-D Object Recognition,” Proc. International Conference on 3D Vision, pp. 135-143，October 2015, France. 30 Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte, Erik P. DeBenedictis, Rachit Garg, Ganesh Gingade, Bichlien Hoang, Yongzhen Huang, Boxun Li, Jingyu Liu, Wei Liu, Huizi Mao, Junran Peng, Tianqi Tang, Elie K. Track, Jingqiu Wang, Tao Wang, Yu Wang, Jun Yao, “Rebooting Computing and Low-Power Image Recognition Challenge,” Proc. International Conference on Computer Aided Design, pp. 927-932，November 2015, Austin, America. 31 Chi Zhang, Zhiwei Li, Yanhua Cheng, Rui Cai, Yanghong Chao and Yong Rui, “MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation,” Proc. IEEE International Conference on Computer Vision, pp. 2057-2065，December 2015, Santiago, Chile. 32 Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang and Yong Rui, “Query Adaptive Similarity Measure for RGB-D Object Recognition,” Proc. International Conference on Computer Vision, pp. 145-153，December 2015, Santiago, Chile. 33 Chunshui Cao, Xianming Liu, Jiang Wang, Yinan Yu, Wei Xu, Yi Yang, Deva Ramanan, Chang Huang, Zilei Wang, Thomas Huang, Yongzhen Huang, and Liang Wang, “Look and Think Twice: Capturing Top-down Visual Attention With Feedback Convolutional Neural Networks,” Proc. International Conference on Computer Vision, pp. 2956-2964，December 2015, Santiago, Chile. 34 Yan Huang, Wei Wang and Liang Wang, “Conditional High-order Boltzmann Machine: A Supervised Learning Model for Relation Learning,” Proc. IEEE International Conference on Computer Vision, pp. 4265-4273，December 2015, Santiago, Chile. 35 Lianrui Fu, Junge Zhang and Kaiqi Huang, “Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation,” Proc. IEEE International Conference on Computer Vision, pp. 1976-1984，December 2015, Santiago, Chile. 36 Lianrui Fu, Junge Zhang and Kaiqi Huang, “Mirrored Non-Maximum Sup-pression for Accurate Object Part Localization,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 37 Dangwei Li, Xiaotang Chen and Kaiqi Huang, “Multi-attribute Learning for Pedestrian Attribute Recognition in Surveillance Scenarios,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 38 Chunfeng Song, Yongzhen Huang, Zhenyu Wang and Liang Wang, “1000fps Human Segmentation with Deep Convolutional Neural Networks,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 39 Kaihao Zhang, Yongzhen Huang, Hong Wu and Liang Wang, “Facial Smile Detection Based on Deep Learning Features,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 40 Hongsong Wang, Wei Wang and Liang Wang, “Hierarchical Motion Evolution for Action Recognition,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 41 Yong Du, Yun Fu and Liang Wang, “Skeleton Based Action Recognition with Convolutional Neural Network,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 42 Lingxiao Song, Man Zhang, Qi Li, Zhenan Sun and Ran He, “Float Greedy-search-based Subspace Clustering,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia . 43 Pengcheng Liu, Peipei Yang, Kaiqi Huang and Tieniu Tan, “Uniform Low-Rank Representation for Unsupervised Visual Domain Adaptation,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 44 Dong Wang, Ran He, Liang Wang and Tieniu Tan, “Adaptive Multi-view Clustering via Cross Trace Lasso,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 45 Dong Cao, Ran He, Zhenan Sun and Tieniu Tan, “Joint Space Learning for Video-based Face Recognition,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia . 46 Shu Zhang, Man Zhang, Qi Li, Tieniu Tan and Ran He, “Supervised Topology Preserving Hashing,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia. 47 Jian Liang, Dong Cao, Ran He, Zhenan Sun and Tieniu Tan, “Principal Affinity based Cross-Modal Retrieval,” Proc. Asian Conference on Pattern Recognition, November 2015, Kuala Lumpur, Malaysia . 48 Yan Huang, Wei Wang, Liang Wang, “Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution,” Proc. Advances in Neural Information Processing Systems, pp. 235-243, December 2015, Quebec, Canada. 49 Dong Cao, Ran He, Man Zhang, Zhenan Sun and Tieniu Tan, “Real-world Gender Recognition Using Multi-Order LBP and Localized Multi-boost Learning,” Proc. IEEE International Conference on Identity, Security and Behavior Analysis, pp. 1-6, March 2015, Hong Kong. 50 Weiyu Guo, Shu Wu, Liang Wang and Tieniu Tan, “Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback,” Proc. IEEE/WIC International Conference on Web Intelligence，December 2015, Singapore. 51 Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Improved 3D Lighting Environment Estimation for Image Forgery Detection,” Proc. IEEE International Workshop on Information Forensics and Security, November 2015, Rome, Italy. 52 Kaihao Zhang, Yongzhen Huang, Hong Wu and Liang Wang, “Kinship Verification with Deep Convolutional Neural Networks,” Proc. British Machine Vision Conference, September 2015, Swansea, UK. 53 Pengcheng Liu, Chong Wang, Peipei Yang, Kaiqi Huang and Tieniu Tan, “Cross-Domain Object Recognition Using Object Alignment,” Proc. British Machine Vision Conference (BMVC), September 2015, Swansea, UK. 54 Guangqi Hou, Fei Liu and Zhenan Sun, “Computer Vision Research with New Imaging Technology,” Proc. SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, October 2015, Enshi, China. 55 Xiang Wang, Lin Li and Guangqi Hou, “Super-Resolved All-Refocused Image with A Plenoptic Camera,” Proc. SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, October 2015, Enshi, China. 56 Xikai Xu, Jing Dong, Wei Wang and Tieniu Tan, “An Adaptive Ensemble Classifier for Steganalysis Based on Dynamic Weighted Fusion,” Proc. International Conference on Communications, Signal Processing, and Systems (CSPS), October 2015, Chengdu, China. 57 Yinlong Qian, Jing Dong, Wei Wang and Tieniu Tan, “Learning Representations for Steganalysis from Regularized CNN Model with Auxiliary Tasks,” Proc. SPIE Media Watermarking, Security, and Forensics, October 2015, Chengdu, China. 58 Yinlong Qian, Jing Dong, Wei Wang and Tieniu Tan, “Deep Learning for Steganalysis Via Convolutional Neural Networks,” Proc. SPIE Media Watermarking, Security, and Forensics, pp. 94090J-1- 94090J-10, March 2015, San Francisco, United States.

国内期刊

1 黄凯奇, 陈晓棠, 康运锋, 谭铁牛, “智能视频监控技术综述, ” 计算机学报, vol. 20, no. 3, pp. 1093-1118, 2015.

国内会议

1 Wei Tang, Yongzhen Huang and Liang Wang, “1000 fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder,” Proc. Chinese Conference on Computer Vision, pp. 237-246, September 2015, Chengdu, China. 2 Qi Zhang, Haiqing Li, Man Zhang, Zhaofeng He, Zhenan Sun and Tieniu Tan, “Fusion of Face and Iris Biometrics on Mobile Devices Using Near-infrared Images,” Proc. Chinese Conference on Biometric Recognition, pp. 569-578，November 2015, Tianjin, China.