2019年

期刊

  1. Hai Zhuge, Xiaoping Sun . Semantics, knowledge, and grids at the age of big data and AI . Concurrency and Computation: Practice and Experience 31(3) (2019) .
  2. Jingqiang Chen, Hai Zhuge . Extractive summarization of documents with images based on multi-modal RNN . Future Generation Comp. Syst. 99: 186-196 (2019) .
  3. Automatic generation of related work through summarizing citations . Jingqiang Chen, Hai Zhuge . Concurrency and Computation: Practice and Experience 31(3) (2019) .
  4. Chengpeng Chen, Weiqing Min, Xue Li, Shuqiang Jiang . Hybrid incremental learning of new data and new classes for hand-held object recognition . Journal of Visual Communication and Image Representation, 58: 138-148, 2019 .
  5. Erbo Li , Hanlin Mo , Dong Xu, and Hua Li . Image Projective Invariants . IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 41, NO. 5, MAY 2019 .
  6. He Zhang，Hanlin Mo，You Hao，Qi Li，Shirui Li，Hua Li . Fast and efficient calculations of structural invariants of chirality . Pattern Recognition Letters，128（2019）270-277 .
  7. Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen . Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework . IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(7):1747 - 1760, 2019 .
  8. S. Taghanaki, Y. Zheng, S. Kevin Zhou, et al. and Ghassan Hamarneh . Combo loss: Handling input and output imbalance in multi-organ segmentation . Comp. Med. Imag. and Graph., Vol. 75, pp. 24-33, 2019 .
  9. Shuhuan Mei, Weiqing Min, Hua Duan, Shuqiang Jiang . Instance-level object retrieval via deep region CNN . Multimedia Tools and Applications, 78(10): 13247-13261, 2019 .
  10. Shuqiang Jiang, Weiqing Min, Linhu Liu, Zhengdong Luo . Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition . IEEE Trans. on Image Processing, 29(1): 265-276, 2019 .
  11. Shuqiang Jiang, Weiqing Min, Shuhuan Mei . Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction . IEEE Transactions on Multimedia, 21(6): 1609–1619, 2019 .
  12. Shuzhe Wu, Meina Kan, Shiguang Shan and Xilin Chen . Hierarchical Attention for Part-Aware Face Detection . International Journal of Computer Vision (IJCV), vo. 127, no. 6-7, pp 560–578, June 2019 .
  13. Thapana Boonchoo, Xiang Ao, Qing He . Multi-Aspect Embedding for Attribute-Aware Trajectories . Symmetry 11(9): 1149, 2019 .
  14. Weiqing Min, Shuhuan Mei, Linhu Liu, Yi Wang, and Shuqiang Jiang . Multi-Task Deep Relative Attribute Learning for Visual Urban Perception . IEEE Trans. on Image Processing, 29(1): 657-669, 2019 .
  15. Weiqing Min,Shuqiang Jiang, Linhu Liu,Yong Rui and Ramesh Jain . A Survey on Food Computing . ACM Computing Surveys (CSUR), 52(2): 92:1–92:36, 2019 .
  16. Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He . Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies . ACM TIST 10(4): 36:1-36:26, 2019 .
  17. Xiaoyi Deng, Fuzhen Zhuang, Zhiguo Zhu . Neural variational collaborative filtering with side information for top-K recommendation . Int. J. Machine Learning & Cybernetics, 10(11): 3273-3284, 2019 .
  18. Yongchun Zhu, Fuzhen Zhuang*, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He . Multi-Representation Adaptation Network for Cross-domain Image Classification . Neural Networks, 119:214-221, 2019 .
  19. Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Jingyuan Yang, Hui Xiong . NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks . Neural Networks, 111: 77-88, 2019 .
  20. Zhao Zhang, Fuzhen Zhuang*, Xuebing Li, Zhengyu Niu, Jia He, Qing He, Hui Xiong . Knowledge Triple Mining via Multi-Task Learning . Information Systems, 80: 64–75, 2019 .
  21. Zhenzhen Gu, Songmao Zhang, Cungen Cao . Reasoning and querying web-scale open data based on DL-LiteA in a divide-and-conquer way . J. Web Semant. 55: 122-144 (2019) .
  22. 李 琪 , 杨文浩 ,侯亚丽 ,王向东 ,李 华 . 短道速滑运动中的轨迹建模 . 图学学报，2019年2月第40卷第1期 .
  23. 杨郑鑫,李京谕,胡镓伟,冯洋 . 基于增量训练的维汉神经机器翻译系统 . 厦门大学学报(自然科学版) .
  24. Hu Han, Jie Li, Anil Jain, Shiguang Shan, Xilin Chen . Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning . IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 10, pp. 2333-2348, Oct. 1, 2019 .
  25. Haofu Liao, Wei-An Lin, S. Kevin Zhou, Jiebo Luo . Adn: Artifact disentanglementnetwork for unsupervised metal artifact reduction . IEEE Transactions onMedical Imaging (2019), vol. 39, no. 3, pp. 634–643 .
  26. Xiangyang Li, Shuqiang Jiang . Know More Say Less: Image Captioning Based on Scene Graphs . IEEE Transactions on Multimedia, vol.21, no.8, pp.2117-2130, Aug.2019 .
  27. Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin . Bayesian dual neural networks for recommendation . Frontiers Comput. Sci. 13(6): 1255-1265, 2019 .
  28. Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He . Supervised representation learning for multi-label classification . Machine Learning, 108(5): 747-763, 2019 .
  29. Thapana Boonchooa, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He . Grid-based DBSCAN: Indexing and Inference . Pattern Recognition (PR), 90 : 271-284, 2019 .
  30. Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan and Xilin Chen . AttGAN: Facial Attribute Editing by Only Changing What You Want . IEEE Transactions on Image Processing, vol. 28, no. 11, pp. 5464 – 5478, 20 May 2019 .
  31. Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao . From Social to Individuals:a Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation . IEEE Transactions on Pattern Analysis and Machine Intelligence,vol. 41, no. 4, pp. 844-856, Apr. 2019 .

会议

  1. Chao Huang, Hu Han, Qingsong Yao,  Shankuan Zhu, S. Kevin Zhou . 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation . MICCAI 2019 .
  2. Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang . SDC-causing Error Detection Based on Lightweight Vulnerability Prediction . ACML, PP:1049-1064, 2019 .
  3. Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou . Graph Contextualized Self-Attention Network for Session-based Recommendation . IJCAI, PP: 3940-3946, 2019 .
  4. Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong . DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview . KDD, 2019 .
  5. Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen Tian . A Unified Generation-Retrieval Framework for Image Captioning . CIKM, 2019 .
  6. Dongbo Xi, Fuzhen Zhuang*, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He . Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification . AAAI, PP: 5458-5465, 2019 .
  7. Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo . Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction . IJCAI, 2019 .
  8. Feiyang Pan, Qingpeng Cai, An-Xiang Zeng, Chun-Xiang Pan, Qing Da, Hualin He, Qing He, Pingzhong Tang . Policy Optimization with Model-based Explorations . AAAI, PP: 4675-4682, 2019 .
  9. Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He . Policy Gradients for Contextual Recommendations . WWW, PP: 1421-1431, 2019 .
  10. Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He . Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings . the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), PP: 695-704, 2019 .
  11. Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo . Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction . MICCAI 2019 .
  12. Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin Zhou . Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation . CVPR 2019: 12638-12647 .
  13. Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, S. Kevin Zhou, Jiebo Luo . Generative Mask Pyramid Network forCT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction . MICCAI 2019 .
  14. Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong . Multiple Relational Attention Network for Multi-task Learning . KDD, 2019 .
  15. Junyu Luo, Min Yang, Xiang Ao, Zhou Zhao, Ying Shen . Cross-modal Image-Text Retrieval with Multitask Learning . CIKM, 2019 .
  16. Kangli Zi, Xingwu Sun, Yanan Cao, Shi Wang, Xiaoming Feng, Zhaobo Ma & Cungen Cao . Answer-focused and Position-aware Neural Network for Transfer Learning in Question Generation . In 12th International Conference on Knowledge Science, Engineering and Management (KSEM), 339-352, Springer, 2019. .
  17. Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He . Read Like HER: Human-inspired Extractive Summarization . EMNLP, 2019 .
  18. Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu . Unsupervised Neural Aspect Extraction with Sememes . IJCAI, PP: 5123-5129, 2019 .
  19. Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor Sheng, Xiaofang Zhao . Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation . AAAI, PP: 5877-5884, 2019 .
  20. Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang . A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis . EMNLP, 2019 .
  21. Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sunm, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou . DuDoNet: Dual Domain Network for CT Metal Artifact Reduction . CVPR 2019: 10512-10521 .
  22. Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu . Inferring Mood Instability via Smartphone Sensing: a Multi-View Learning Approach . ACM MM, PP: 1401-1409, 2019 .
  23. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong . The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach . KDD, PP: 1625-1633, 2019 .
  24. Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo . Nested Relation Extraction with Iterative Neural Network . CIKM, 2019 .
  25. Yongchun Zhu, Fuzhen Zhuang*, Deqing Wang . Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources . AAAI, 2019 .
  26. Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He . Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition . PAKDD, PP(1) : 110-122, 2019 .
  27. Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S Yu . Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias . PAKDD, 2019 .
  28. Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong . Identifying High Potential Talent: A Neural Network based Dynamic Social Profiling Approach . ICDM, 2019 .
  29. Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin Zhou . Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition . MICCAI 2019 .
  30. Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou . Incremental Transformer with Deliberation Decoder for Document Grounded Conversations . the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) .
  31. Zhenzhen Gu, Cungen Cao, Songmao Zhang . An Expressive Sub-language of OWL 2 Full for Domain Meta-modeling . In Proceedings of the 32nd International Description Logic Workshop, 2019 .
  32. Zhenzhen Gu, Songmao Zhang, Cungen Cao . Reflections on: Reasoning and querying web-scale open data based on DL-LiteA in a divide-and-conquer way . Journal Track of ISWC 2019 .
  33. Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen . Transferable Contrastive Network for Generalized Zero-Shot Learning . IEEE International Conference on Computer Vision, pp. 9764-9773, Seoul, Korea, Oct. 27-Nov. 2, 2019 .
  34. Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen . Temporal Knowledge Propagation for Image-to-Video Person Re-identification . IEEE International Conference on Computer Vision, October 2019. .
  35. Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng and Jie Zhou . Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level NMT . 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019) .
  36. Haiyang Xue, Yang Feng, Di You, Wen Zhang, Jingyu Li . Neural Machine Translation with Bilingual History Involved Attention . The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019) .
  37. Jie Zhu, Shugen Wang,Yanru Wu, Meijing Guan, and Yang Feng . A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable . The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019) .
  38. Shuhao Gu, Yang Feng . Improving Multi-Head Attention with CapsuleNetworks . The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019) .
  39. Weiqing Min, Linhu Liu, Zhengdong Luo, Shuqiang Jiang . Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition . ACM International Conference on Multimedia, Nice, France, October 21-25, 2019 .
  40. Xinhang Song, Bohan Wang, Gongwei Chen, Shuqiang Jiang . MUCH: MUtual Coupling enHancement of scene recognition and dense captioning . ACM International Conference on Multimedia, Nice, France, October 21-25, 2019 .
  41. Xinhang Song, Sixian Zhang, Yuyun Hua, Shuqiang Jiang . Aberrance-aware gradient-sensitive attentions for scene recognition with RGB-D videos . ACM International Conference on Multimedia, Nice, France, October 21-25, 2019 .
  42. Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Li Su, Qingming Huang . Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding . ACM International Conference on Multimedia, pp.539-547, Nice, France, October 21-25, 2019 .
  43. Yiling Wu, Shuhui Wang, Guoli Song, and Qingming Huang . Learning Fragment Self-Attention Embeddings for Image-Text Matching . ACM International Conference on Multimedia, pp. 2088-2096, Nice, France, October 21-25, 2019 .
  44. Yongqing Zhu, Shuqiang Jiang . Attention-based Densely Connected LSTM for Video Captioning . ACM International Conference on Multimedia, Nice, France, October 21-25, 2019 .
  45. 李京谕, 冯洋 . 基于联合注意力机制的篇章级机器翻译 . The Eighteenth China National Conference on Computational Linguistics (CCL 2019) .
  46. Fangyi Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen . Relation-aware Multiple Attention Siamese Networks for Robust Visual Tracking . British Machine Vision Conference (BMVC), September 2019 .
  47. Fengling Mao, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen . MS-GAN: Text to Image Synthesis with Attention-Modulated Generators and Similarity-aware Discriminators . British Machine Vision Conference, September 2019 .
  48. Hongkai Zhang, Hong Chang, Bingpeng Ma, Shiguang Shan and Xilin Chen . Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection . British Machine Vision Conference, September 2019 .
  49. Xiaoyi Yin, Xinqian Gu, Hong Chang, Bingpeng Ma and Xilin Chen . Attribute-aware Pedestrian Image Editing . International Conference on Image and Graphics, August 2019 .
  50. Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou . Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation . the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) .
  51. Lei Shen, Yang Feng, Haolan Zhan . Modeling Semantic Relationship in Multi-turn Conversations withHierarchical Latent Variables . the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) .
  52. Liqiang Bao, Bingpeng Ma, Hong Chang, Xilin Chen . Preserving Structural Relationships for Person Re-identification . International Workshop conjunction with IEEE International Conference on Multimedia and Expo, pp.120-125, July 2019 .
  53. Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu . Bridging the Gap between Training and Inference for Neural Machine Translation . the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) .
  54. Guoqing Wang, Hu Han, Shiguang Shan, Xilin Chen . Improving Cross-database Face Presentation Attack Detection via Adversarial Domain Adaptation . IAPR International Conference on Biometrics, pp. 1-8, Crete, Greece, June 2019 .
  55. Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang . Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization . IEEE Conference on Computer Vision and Pattern Recognition, pp.750-759, Long Beach, California, USA, June 2019 .
  56. Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang . Spatiotemporal CNN for Video Object Segmentation . IEEE Conference on Computer Vision and Pattern Recognition, pp.1379-1388, Long Beach, California, USA, June 2019 .
  57. Liqiang Bao, Bingpeng Ma, Hong Chang, Xilin Chen . Masked Graph Attention Network for Person Re-identification . International Workshop conjunction with IEEE Computer Vision and Pattern Recognition, Long Beach, California, USA, June 2019 .
  58. Mengying Hu, Hu Han, Shiguang Shan, Xilin Chen . Weakly Supervised Image Classification through Noise Regularization . IEEE Conference on Computer Vision and Pattern Recognition, pp. 11517-11525, Long Beach, California, USA, June 2019 .
  59. Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao . Deep Robust Subjective Visual Property Prediction in Crowdsourcing . IEEE Conference on Computer Vision and Pattern Recognition, pp.8993-9001, Long Beach, California, USA, June 2019 .
  60. Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen . Interaction-and-Aggregation Network for Person Re-identification . IEEE Conference on Computer Vision and Pattern Recognition, pp.9317-9326, Long Beach, California, USA, June 2019 .
  61. Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen . VRSTC: Occlusion-Free Video Person Re-Identification . IEEE Conference on Computer Vision and Pattern Recognition, pp.7183-7192, Long Beach, California, USA, June 2019 .
  62. Shuhao Gu, Yang Feng, Qun Liu . Improving Domain Adaptation Translation with Domain Invariant and Specific Information . 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019) .
  63. Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen . Exploring Context and Visual Pattern of Relationship for Scene Graph Generation . IEEE Conference on Computer Vision and Pattern Recognition, pp.8180–8189, Long Beach, California, USA, June 2019 .
  64. Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen . Weakly Supervised Object Detection with Segmentation Collaboration . IEEE International Conference on Computer Vision, pp. 9735-9744, June 2019 .
  65. Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen . Fully Learnable Group Convolution for Acceleration of Deep Neural Networks . IEEE Conference on Computer Vision and Pattern Recognition, pp.9049-9058, Long Beach, California, USA, June 2019 .
  66. Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Dechao Meng, Qingming Huang . Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding . IEEE International Conference on Computer Vision, pp. 2611-2620, June 2019 .
  67. Xuesong Niu, Hu Han, Songfan Yang, Yan Huang, Shiguang Shan . Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection . IEEE Conference on Computer Vision and Pattern Recognition, pp. 11917-11926, Long Beach, California, USA, June 2019. .
  68. Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen . Self-supervised Representation Learning from Videos for Facial Action Unit Detection . IEEE Conference on Computer Vision and Pattern Recognition, pp.10924-10933, Long Beach, California, USA, June 2019 .
  69. Zhe Wu, Li Su, Qingming Huang . Cascaded Partial Decoder for Fast and Accurate Salient Object Detection . IEEE Conference on Computer Vision and Pattern Recognition, pp.3907-3916, Long Beach, California, USA, June 2019 .
  70. Zhenliang He, Meina Kan, Shiguang Shan, Xilin Chen . S2GAN: Share Aging Factors across Ages and Share Aging Trends among Individuals . IEEE International Conference on Computer Vision, pp. 9440-9449, June 2019 .
  71. Jiancheng Cai, Hu Han, Shiguang Shan, and Xilin Chen . FCSR-GAN: End-to-end Learning for Joint Face Completion and Super-resolution . IEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019 .
  72. Mingjie He, Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen . Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition . IEEE International Conference on Automatic Face and Gesture Recognition, Lille, France, May 2019 .
  73. Ruibing Hou, Hong Chang, Bingpeng Ma and Xilin Chen . Video Prediction with Bidirectional Constraint Network . IEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019 .
  74. Ruibing Hou, Hong Chang, Bingpeng Ma and Xilin Chen . Video Prediction with Bidirectional Constraint Network . IEEE International Conference on Automatic Face and Gesture Recognition, May 2019 .
  75. Shikang Yu, Hu Han, Shiguang Shan, Antitza Dantcheva, and Xilin Chen . Improving Face Sketch Recognition via Adversarial Sketch-Photo Transformation . IEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019 .
  76. Shuang Yang, Yuanhang Zhang, Dalu Feng, Mingmin Yang, Chenhao Wang, Jingyun Xiao, Keyu Long, Shiguang Shan, Xilin Chen . LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild . IEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019 .
  77. Xuesong Niu, Xingyuan Zhao, Hu Han, Abhijit Das, Antitza Dantcheva, Shiguang Shan, Xilin Chen . Robust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal Attention . IEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-8, Lille, France, May 2019 .
  78. Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang . earning Personalized Attribute Preference via Multi-task AUC Optimization . AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, USA, February 2019 .