Tsung-Wei Ke

Computer Vision and Pattern Recognition · with Yu · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 521 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #13,573 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 34 citations into it; #21,955 of 35,345 by trust here, #28,481 by citations
• Model Architectures — 21 citations into it; #1,514 of 2,278 by trust here, #2,078 by citations
• Media Technology — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Tsung-Wei Ke trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Yann LeCun
6. Ross B. Girshick
7. Yoshua Bengio
8. Andrew Zisserman
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Tsung-Wei Ke overall

1. Mason McGill
2. Matheus Gadelha
3. Dan Hendrycks
4. Yunpeng Chen
5. Zilong Huang
6. Pietro Perona
7. Rui Wang
8. Le Yang
9. Thomas G. Dietterich

Papers from Tsung-Wei Ke's perspective

Ordered by how strongly the researchers Tsung-Wei Ke 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multigrid Neural Architectures (2016) — 99 citations
• Adaptive Affinity Field for Semantic Segmentation (2018) — 14 citations