Dr. Wing Yin YU, 余榮彥

Computer Science

1. Image Segmentation 100%
2. Experimental Result 87%
3. Generative Adversarial Networks 80%
4. de-noising 62%
5. Receptive Field 50%
6. Feature Map 41%
7. Instance Segmentation 41%
8. Feature Extraction 37%
9. Color Bleeding 35%
10. Perceptual Quality 33%
11. RGB Image 33%
12. Segmentation Method 31%
13. Attention (Machine Learning) 30%
14. Context Information 29%
15. Diffusion Model 25%
16. Decision Information 25%
17. Image Synthesis 25%
18. Operations Research 25%
19. Adaptive Module 25%
20. Discriminative Feature 25%
21. Biometrics 25%
22. Motion Information 25%
23. Prediction Framework 25%
24. Representation Learning 25%
25. Video Representation 25%
26. Segmentation Model 25%
27. Image Reconstruction 25%
28. Training Model 25%
29. Large Language Model 25%
30. Image Enhancement 25%
31. Level Feature Space 25%
32. Segmentation Technique 25%
33. System Analysis 25%
34. Image Sequence 25%
35. Quantitative Evaluation 25%
36. Matrix Multiplication 25%
37. Contrastive Learning 25%
38. Spatial Framework 25%
39. Training Pair 25%
40. Wavelet Transforms 25%
41. Knowledge Transfer 25%
42. Image Editing 25%
43. Self-Attention 25%
44. Image Translation 25%
45. Ambiguous Object 25%
46. Segmentation Performance 18%
47. Segmentation Approach 16%
48. Feature Information 16%
49. Validation Set 13%
50. Combining Optimization 12%