Kah Kay Sung

1994–1999

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 2,282 researchers here, as inferred from the citation graph.

Whom Kah Kay Sung trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tomaso A. Poggio

Who trusts Kah Kay Sung overall

1. Ross B. Girshick
2. Wanli Ouyang
3. Chengjun Liu
4. Andrew Zisserman
5. Arsha Nagrani
6. Trevor Darrell
7. Cordelia Schmid
8. Li Fei-Fei
9. Abhinav Kumar Gupta
10. Xiaogang Wang

Papers from Kah Kay Sung's perspective

Ordered by how strongly the researchers Kah Kay Sung trusts endorse each paper. Same corpus, a different order for every researcher.

1. Low-dimensional procedure for the characterization of human faces.
2. Learning and example selection for object and pattern detection
3. Intriguing properties of neural networks
4. Gradient-based learning applied to document recognition
5. Networks for approximation and learning
6. Learning methods for generic object recognition with invariance to pose and lighting
7. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Histograms of oriented gradients for human detection
10. Robust Real-Time Face Detection

Their papers

• Example-Based Learning for View-Based Human Face Detection (1998)
• Learning and example selection for object and pattern detection (1996)
• Example-based Learning for View-based Human Face Detection (1994)
• Handling concept drifts in incremental learning with support vector machines (1999)