Qiufeng Wang

Computer Science

1. Models 100%
2. Database 73%
3. Character Recognition 58%
4. Language Modeling 56%
5. Segmentation 54%
6. Handwriting Recognition 51%
7. Domains 51%
8. Experimental Result 46%
9. Benchmark 42%
10. Adversarial Machine Learning 38%
11. Accuracy 35%
12. Contexts 32%
13. Deep Neural Network 31%
14. Classes 29%
15. String 28%
16. Model Adaptation 28%
17. Segmentation Method 28%
18. Action Recognition 28%
19. document image 27%
20. Transformations 27%
21. Character String 26%
22. Annotation 23%
23. Recognition Performance 22%
24. Semantics 22%
25. Convolutional Neural Network 21%
26. Image Segmentation 21%
27. Classifier 20%
28. Adversarial Example 19%
29. Common Sense 18%
30. Conversational Agent 18%
31. Filtering 18%
32. Channels 18%
33. segmentation algorithm 18%
34. Long Short-Term Memory Network 18%
35. Image Classification 18%
36. Discriminative Feature 18%
37. Generative Adversarial Networks 17%
38. Data Augmentation 17%
39. Art Performance 16%
40. Application 15%
41. Superior Performance 15%
42. Experimental Result 15%
43. Large Language Model 14%
44. Recognition Accuracy 14%
45. Recognizer 14%
46. Neural Network Model 14%
47. Model 14%
48. Visual Feature 14%
49. Deep Convolutional Neural Networks 13%
50. Attention (Machine Learning) 12%