国际期刊

1 Kangwei Liu, Junge Zhang, Peipei Yang, Stephen Maybank and Kaiqi Huang, “GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs,” International Journal of Computer Vision, vol. 121, no. 3, pp. 365-390, 2017. 2 Weihua Chen, Lijun Cao, Xiaotang Chen and Kaiqi Huang, “An Equalised Global Graphical Model-Based Approach for Multi-Camera Object Tracking,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 27, no. 11, pp. 2367-2381, 2017. 3 Yueying Kao, Ran He and Kaiqi Huang, “Deep Aesthetic Quality Assessment with Semantic Information,” IEEE Trans. on Image Processing, vol. 26, no. 3, pp. 1482-1495, 2017. 4 Yan Huang, Wei Wang, Liang Wang and Tieniu Tan, “Conditional High-Order Boltzmann Machines for Supervised Relation Learning,” IEEE Trans. on Image Processing, vol. 26, no. 9, pp. 4297-4310, 2017. 5 Lianrui Fu, Junge Zhang and Kaiqi Huang, “ORGM: Occlusion Relational Graphical Model for Human Pose Estimation,” IEEE Trans. on Image Processing, vol. 26, no. 2, pp. 927-941, 2017. 6 Kaiqi Huang, Tieniu Tan, Stephen J. Maybank, Rama Chellappa and Jake Aggarval, “Guest Editorial Introduction to the Special Issue on Large-Scale Video Analytics for Enhanced Security: Algorithms and Systems,” IEEE Trans. on Systems, Man, and Cybernetics: Systems, vol. 47, no. 4, pp. 589-592, 2017. 7 Kaihao Zhang, Yongzhen Huang, Yong Du and Liang Wang, “Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks,” IEEE Trans. on Image Processing, vol. 26, no. 9, pp. 4193-4203, 2017. 8 Fei Liu, Guangqi Hou, Zhenan Sun and Tieniu Tan, “High Quality Depth Map Estimation of Object Surface from Light-Field Images,” Neurocomputing, vol. 252, pp. 3-16, 2017. 9 Yi Li, Yanqing Guo, Yueying Kao and Ran He, “Image Piece Learning for Weakly Supervised Semantic Segmentation,” IEEE Trans. on Systems, Man, and Cybernetics: Systems, vol. 47, no. 4, pp. 648-659, 2017. 10 Chuan Qin, Ping Ji, Xinpeng Zhang, Jing Dong and Jinwei Wang, “Fragile Image Watermarking With Pixel-wise Recovery Based on Overlapping Embedding Strategy,” Signal Processing, vol. 138, pp. 280-293, 2017. 11 Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, "Optimized 3D Lighting Environment Estimation for Image Forgery Detection," IEEE Transactions on Information Forensics and Security, vol. 12, no. 2, pp. 479-494, Feb. 2017. 12 Pengcheng Liu, Peipei Yang, Chong Wang, Kaiqi Huang and Tieniu Tan, “A Semi-Supervised Method for Surveillance-Based Visual Location Recognition,” IEEE Trans. on Cybernetics, vol. 47, no. 11, pp. 3719-3732, 2017. 13 Junge Zhang, Kaiqi Huang, Tieniu Tan and Zhaoxiang Zhang, “Local Structured Representation for Generic Object Detection,” Frontiers of Computer Science, vol. 11, no. 4, pp. 632-648, 2017. 14 Deepak Kumar Jain, Zhang Zhang, Kaiqi Huang, “Multi Angle Optimal Pattern-Based Deep Learning for Automatic Facial Expression Recognition,” Pattern Recognition Letters, 2017. 15 Qiyue Yin, Shu Wu and Liang Wang, “Unified Subspace Learning for Incomplete and Unlabeled Multi-View Data,” Pattern Recognition, vol. 67, pp. 313-327, 2017. 16 Zhen Zhou, Yongzhen Huang, Liang Wang and Tieniu Tan, “Exploring Generalized Shape Analysis by Topological Representations,” Pattern Recognition Letters, vol. 87, pp. 177-185, 2017. 17 Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang and Tieniu Tan, “A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 2, pp. 209-226, 2017. 18Jie Gui, Zhenan Sun, Shuiwang Ji, Dacheng Tao and Tieniu Tan, “Feature Selection Based on Structured Sparsity: A Comprehensive Study,” IEEE Trans. on Neural Networks and Learning Systems, vol. 28, no. 7, pp. 1490-1507, 2017. 19 Dekui Ma, Jian Liang, Ran He and Xiangwei Kong, “Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data,” IEEE MultiMedia, vol. 24, no. 2, pp. 56-65, 2017. 20 Di Miao, Man Zhang, Zhenan Sun, Tieniu Tan and Zhaofeng He, “Bin-based Classifier Fusion of Iris and Face Biometrics,” Neurocomputing, vol. 224, pp. 105-118, 2017. 21 Nianfeng Liu, Jing Liu, Zhenan Sun and Tieniu Tan, “A Code-Level Approach to Heterogeneous Iris Recognition,” IEEE Trans. Information Forensics and Security, vol. 12, no. 10, pp. 2373-2386, 2017. 22 Qiang Liu, Shu Wu and Liang Wang, “Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model,” IEEE Trans. on Knowledge and Data Engineering (TKDE), vol. 29, no. 6, pp. 1254-1267, 2017.

国际会议

1 Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang, “A Multi-task Deep Network for Person Re-identification,” Proc. AAAI Conference on Artificial Intelligence, pp. 3988-3994, February 2017, San Francisco, California, USA. 2 Wei Tang, Gang Hua and Liang Wang, “How to Train a Compact Binary Neural Network with High Accuracy,” Proc. AAAI Conference on Artificial Intelligence, pp. 2625-2631, February 2017, San Francisco, California, USA. 3 Xiaohan Li, Shu Wu and Liang Wang, “Blood Pressure Prediction via Recurrent Models with Contextual Layer,” Proc. International Conference on World Wide Web, pp. 685-693, April 2017, Perth, Australia. 4 Feng Yu, Qiang Liu, Shu Wu, Liang Wang and Tieniu Tan, “A Convolutional Approach for Misinformation Identi?cation,” Proc. International Joint Conference on Artificial Intelligence (IJCAI), pp. 3901-3907, August 2017, Melbourne, Australia. 5 Ran He, Xiang Wu, Zhenan Sun and Tieniu Tan, “Learning Invariant Deep Representation for NIR-VIS Face Recognition,” Proc. AAAI Conference on Artificial Intelligence, pp. 2000-2006, February 2017, San Francisco, California, USA. 6 Yanbo Fan, Ran He, Jian Liang and Baogang Hu, “Self-Paced Learning: an Implicit Regularization Perspective,” Proc. AAAI Conference on Artificial Intelligence, pp. 1877-1883, February 2017, San Francisco, California, USA. 7 Qi Li, Zhenan Sun, Ran He and Tieniu Tan, “Deep Supervised Discrete Hashing,” Proc. Conference on Neural Information Processing Systems (NIPS) December 2017, Long Beach, USA. 8 Weihua Chen, Xiaotang Chen, Jianguo Zhang and Kaiqi Huang, “Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1320-1329, July 2017, Honolulu, Hawaii, USA. 9 Dangwei Li, Xiaotang Chen, Zhang Zhang and Kaiqi Huang, “Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 384-393, July 2017, Honolulu, Hawaii, USA. 10 Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao and Kaiqi Huang, “Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3029-3037, July 2017, Honolulu, Hawaii, USA. 11 Yupei Wang, Xin Zhao and Kaiqi Huang, “Deep Crisp Boundaries,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3892-3900, July 2017, Honolulu, Hawaii, USA. 12 Yan Huang, Wei Wang and Liang Wang, “Instance-aware Image and Sentence Matching with Selective Multimodal LSTM,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 7254-7262, July 2017, Honolulu, Hawaii, USA. 13 Hongsong Wang and Liang Wang, “Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3633-3642, July 2017, Honolulu, Hawaii, USA. 14 Jingyu Liu, Liang Wang and Ming-Hsuan Yang, “Referring expression generation and comprehension via attributes,” Proc. IEEE International Conference on Computer Vision, pp. 4856-4864, October 2017, Venice, Italy. 15 Zhen Zhou, Yan Huang, Wei Wang, Liang Wang and Tieniu Tan, “See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-based Person Re-identification,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 6776-6785, July 2017, Honolulu, Hawaii, USA. 16 Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Position Determines Perspective: Investigating Perspective Distortion for Image Forensics of Faces,” Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1813-1821, July 2017, Honolulu, Hawaii, USA. 17 Huaibo Huang, Ran He, Zhenan Sun and Tieniu Tan, “Wavelet-SRNet: A Wavelet-based CNN for Multi-scale Face Super Resolution,” Proc. IEEE International Conference on Computer Vision, pp.1813-1821, October 2017, Venice, Italy. 18 Rui Huang, Shu Zhang, Tianyu Li and Ran He, “Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis,” Proc. IEEE International Conference on Computer Vision, pp. 2439-2448, October 2017, Venice, Italy. 19 Xuecai Hu, Xin Zhao, Kaiqi Huang and Tieniu Tan, “Adversarial Learning Based Saliency Detection,” Proc. Asian Conference on Pattern Recognition, pp. 256-261, November 2017, Nanjing, China. 20 Wenzhen Huang, Peipei Yang and Kaiqi Huang, “From Classification to Regression: Model Transfer for Visual Aesthetic Quality Assessment,” Proc. Asian Conference on Pattern Recognition, pp. 304-309, November 2017, Nanjing, China. 21 Yang Zhou, Kai Yu, Biao Leng, Zhang Zhang, Dangwei Li, Kaiqi Huang, Bailan Feng and Chunfeng Yao, "Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization," Proc. British Machine Vision Conference, pp. 1-9, September 2017, London, Britain. 22 Hongsong Wang and Liang Wang, “Learning Robust Representations using Recurrent Neural Networks for Skeleton based Action Classification and Detection,” Proc. IEEE Conference on Multimedia and Expo Workshop on Large Scale 3D Human Activity Analysis Challenge in Depth Videos, pp. 591-596, July 2017, Hong Kong, China. 23 Yuqi Zhang, Yongzhen Huang and Liang Wang, “Multi-task Deep Learning for Fast Online Multiple Object Tracking,” Proc. Asian Conference on Pattern Recognition, pp. 138-143, November 2017, Nanjing, China. 24 Jiabin Ma, Wei Wang and Liang Wang, "Irregular Convolutional Neural Networks,” Proc. Asian Conference on Pattern Recognition, pp. 268-273, November 2017, Nanjing, China. 25 Zhihe Lu, Zhihang Li, Jie Cao, Ran He and Zhenan Sun, “Recent Progress of Face Image Synthesis,” Proc. Asian Conference on Pattern Recognition, pp. 7-12, November 2017, Nanjing, China. 26 Yibo Hu, Xiang Wu and Ran He, “Attention-Set based Metric Learning for Video Face Recognition,” Proc. Asian Conference on Pattern Recognition, pp. 97-102, November 2017, Nanjing, China. 27 Yunbo Wang, Dong Cao and Zhenan Sun, “Target Code Guided Binary Hashing Representations with Deep Neural Network,” Proc. Asian Conference on Pattern Recognition, pp. 530-535, November 2017, Nanjing, China. 28 Qi Li, Ran He, Zhenan Sun and Tieniu Tan, “Fast Multi-view Face Alignment via Multi-task Auto-encoders,” Proc. International Joint Conference on Biometrics, October 2017, Denver, Colorado, USA. 29 Yueying Kao, Ran He and Kaiqi Huang, “Automatic Image Cropping with Aesthetic Map and Gradient Energy Map,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1982-1986, March 2017, New Orleans, USA. 30 Zhen Jia, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Encyclopedia Enhanced Semantic Embedding for Zero-Shot Learning,” Proc. IEEE International Conference on Image Processing, pp. 1287-1291September 2017, Beijing, China. 31 Yabei Li，Junge Zhang, Yanhua Cheng, Kaiqi Huang and Tieniu Tan, “Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation,” Proc. IEEE International Conference on Image Processing, pp. 1262-1266, September 2017，Beijing, China. 32 Yonggwon Ri, Jing Dong, Wei Wang and Tieniu Tan, “Adaptive Histogram Shifting Based Reversible Data Hiding,” International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 42-50, August 2017,  Matsue, Shimane, Japan. 33 Jiedong Hao, Wei Wang, Jing Dong and Tieniu Tan, “MFC: A Multi-scale Fully convolutional Approach for Visual Instance Retrieval,” Pro. IEEE International Conference on Multimedia and Expo (ICME), July 2017, Hong Kong, China. 34 Jun Guo, Yanqing Guo, Xiangwei Kong and Ran He, “Unsupervised Feature Selection with Ordinal Locality,” Proc. IEEE International Conference on Multimedia and Expo, July 2017, Hong Kong, China. 35 Yanli Chen, Hongxia Wang and Hanzhou Wu, “Data Hiding-based Video Error Concealment Method Using Compressed Sensing,” Proc. International Conference on Cloud Computing and Security (ICCCS'17), pp. 28-38, June 2017, Nanjing, China. 36 Yong Liu, Hongxia Wang, Hanzhou Wu and Yi Chen, “An Efficient Copy-Move Detection Algorithm Based on Superpixel Segmentation and Harris Key-Points,” Proc. International Conference on Cloud Computing and Security (ICCCS'17), pp. 61-73, June 2017, Nanjing, China. 37 Haichao Shi, Jing Dong, Wei Wang, Yinlong Qian, and Xiaoyu Zhang, “SSGAN: Secure Steganography Based on Generative Adversarial Networks,” Proc. Pacific-Rim conference on Multimedia, Harbin, September, 2017. 38 Wenzhen Huang, Peipei Yang and Kaiqi Huang, “A Self-Paced Category-Aware Approach for Unsupervised Adaptation Networks,” Proc. IEEE International Conference on Data Mining (ICDM), November 2017, New Orleans, Louisiana, USA. 39 Qiang Liu, Shu Wu and Liang Wang, “DeepStyle: Learning User Preferences for Visual Recommendation,” ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 84-844, 2017.

国内期刊

1 董晶, 钱银龙, 王伟, “图像隐写分析研究新进展,” 图像与信号处理, vol. 03, no. 03, pp. 131-138, 2017.

国内会议

1 Da Li, Zhang Zhang and Tieniu Tan, “Large-Scale Slow Feature Analysis Using Spark for Visual Object Recognition,” Proc. CCF Chinese Conference on Computer Vision, pp. 132-142, October 2017, Tianjin, China. 2 Chaoyou Fu, Xiang Wu, Jing Dong and Ran He, "Global Perception Feedback Convolutional Neural Networks," Proc. Advances in Image and Graphics Technologies, pp. 65-73, June 2017, Beijing, China. 3 Min Ren, Lingxiao He, Haiqing Li, Yunfan Liu, Zhenan Sun and Tieniu Tan, “Robust Partial Person Re-identification Based on Similarity-Guided Sparse Representation,” Proc. Chinese Conference on Biometric Recognition, pp. 650-659，October 2017, ShenZhen, China. 4 Junbo Wang, Wei Wang, Liang Wang and Tieniu Tan, “PreNet: Parallel Recurrent Neural Networks for Image Classification,” Proc. CCF Chinese Conference on Computer Vision, pp. 461-473, October 2017, Tianjin, China. 5 Tao Zhang, Wei Wang, Liang Wang and Qinghua Hu, “Relevance and Coherence Based Image Caption,” Proc. CCF Chinese Conference on Computer Vision, pp. 258-269, October 2017, Tianjin, China. 6 Qiyue Yin, Yan Huang, Shu Wu and Liang Wang, “Learning Shared and Specific Factors for Multi-Modal Data,” Proc. CCF Chinese Conference on Computer Vision, pp. 89-98, October 2017, Tianjin, China. 7 Kui Ye, Xiaobo Sun, Jindong Xu, Jing Dong and Tieniu Tan, “Influence Evaluation for Image Tampering Using Saliency Mechanism,” Proc. CCF Chinese Conference on Computer Vision, pp. 518-527, October 2017, Tianjin, China. 8 Kui Ye, Jing Dong, Wei Wang, Jingdong Xu and Tieniu Tan, “Image Forgery Detection Based on Semantic Image Understanding,” Proc. CCF Chinese Conference on Computer Vision, pp. 472-481, October 2017, Tianjin, China. 9 Yonggwon Ri, Jing Dong, Wei Wang and Tieniu Tan, “High Capacity Reversible Data Hiding with Contrast Enhancement,” Proc. CCF Chinese Conference on Computer Vision, pp. 284-294, October 2017, Tianjin, China.