Tae Kyun Kim

Computer Science

1. Pose Estimation 100%
2. Object Pose 55%
3. Facial Recognition 38%
4. Random Decision Forest 30%
5. Support Vector Machine 24%
6. Action Recognition 23%
7. Object Recognition 21%
8. Linear Discriminant Analysis 20%
9. Annotation 19%
10. Point Cloud 19%
11. Object Detection 18%
12. RGB Image 18%
13. Experimental Result 17%
14. Robotics 17%
15. Deep Learning Method 15%
16. Tracking Object 14%
17. 3D Object Detection 14%
18. Graph Convolutional Network 13%
19. Neural Network 13%
20. Pose Variation 13%
21. Discriminator 13%
22. Feature Extraction 12%
23. Convolutional Neural Network 12%
24. Facial Feature 12%
25. Attention (Machine Learning) 12%
26. super resolution 11%
27. Contrastive Learning 11%
28. Active Learning 11%
29. Computer Vision 10%
30. Generative Adversarial Networks 10%
31. Independent Component Analysis 10%
32. Synthetic Data 10%
33. Training Data 9%
34. Reinforcement Learning 9%
35. Representation Learning 9%
36. Image Classification 9%
37. Speed-up 9%
38. Art Performance 8%
39. Image Segmentation 8%
40. multiple classifier 8%
41. Face Detection 8%
42. Image Reconstruction 8%
43. Knowledge Distillation 8%
44. Photometric Stereo 8%
45. Shape Variation 8%
46. Correlation Analysis 8%
47. Learning Framework 8%
48. Diffusion Model 8%
49. Principal Components 8%
50. Multitask Learning 8%