Sung H. Chung

Computer Vision and Pattern Recognition · with Ng · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 98 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #4,064 of 21,575 by trust here, #8,722 by citations
• Aerospace Engineering — 5 citations into it

Whom Sung H. Chung trusts overall

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

1. Ashutosh Saxena
2. Jeff Michels
3. Andrew Y. Ng
4. Antonio Torralba
5. Kevin P. Murphy
6. Alan S. Willsky
7. Geoffrey E. Hinton
8. Derek Hoiem
9. Daniel Scharstein
10. Alex Krizhevsky

Who trusts Sung H. Chung overall

1. Ashutosh Saxena
2. Derek Hoiem
3. Abhishek Anand
4. Congcong Li
5. Antonio Torralba
6. Dan Xu
7. Chunhua Shen
8. Hema Swetha Koppula
9. Bryan C. Russell
10. X. Wang

Papers from Sung H. Chung's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• 3-D Depth Reconstruction from a Single Still Image (2007) — 679 citations
• Learning Depth from Single Monocular Images (2005) — 1,230 citations