Tong Tong

Computer Vision and Pattern Recognition · with Du · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 95 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #9,826 of 21,575 by trust here, #8,831 by citations
• Artificial Intelligence — 15 citations into it
• Media Technology — 12 citations into it; #1,479 of 3,621 by trust here, #839 by citations

Whom Tong Tong trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Christian Szegedy
4. X. Zhang
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Shaoqing Ren
8. Jimmy Ba
9. Yoshua Bengio
10. Yann LeCun

Who trusts Tong Tong overall

1. Saeed Anwar
2. Yochai Blau
3. Wenming Yang
4. Radu Timofte
5. Roey Mechrez
6. Wanjie Sun
7. Kui Jiang
8. Peng Yi
9. Zhihao Wang
10. Namhyuk Ahn

Papers from Tong Tong's perspective

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

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

Their papers

• Image Super-Resolution Using Dense Skip Connections (2017) — 1,272 citations
• Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment (2018) — 338 citations