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1. 微表情研究的进展与展望 [326]
2. Face Recognition and Micro-expression Recognition Based on Discrim.. [285]
3. MEGC 2019 - The second facial micro-expressions grand challenge [248]
4. Action Units recognition based on Deep Spatial-Convolutional and M.. [187]
5. Discriminative Spatiotemporal Local Binary Pattern with Revisited .. [156]
6. For micro-expression recognition: Database and suggestions [147]
7. Intelligent computational techniques for multimodal data [135]
8. Pattern Recognition Techniques for Non Verbal Human Behavior (NVHB.. [111]
9. Alcoholism Detection by Data Augmentation and Convolutional Neural.. [110]
10. Fusion Tensor Subspace Transformation Framework [109]
11. Micro-expression Recognition Using Dynamic Textures on Tensor Inde.. [97]
12. CDBV: A Driving Dataset With Chinese Characteristics From a Bike V.. [88]
13. Micro-Expression Recognition Using Robust Principal Component Anal.. [84]
14. 隐藏情绪分析与识别方法 [81]
15. Intelligent computational techniques [78]
16. 一种3D激光雷达和摄像机的联合标定方法 [76]
17. 基于稀疏张量的彩色微表情识别 [72]
18. An efficient hybrid kernel extreme learning machine approach for e.. [71]
19. Facial micro-expressions grand challenge 2018 summary [69]
20. 基于多任务中级特征个性化学习的微表情识别 [65]
21. Spotting micro-expressions on long videos sequences [55]
22. Micro-Expression Recognition Based on Local Two-Order Gradient Pat.. [43]
23. Video-based Facial Micro-Expression Analysis: A Survey of Datasets.. [32]
24. MESNet: A Convolutional Neural Network for Spotting Multi-Scale Mi.. [26]
25. 基于深度学习的微表情检测和识别的研究 [23]
26. 基于稀疏张量的微表情识别研究 [18]
27. 细粒度分层时空特征描述符的微表情识别方法 [16]
28. “眼白”:人类进行非言语交流的重要线索 [4]