Bo-Cheng Tsai

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 21 citations into it

Whom Bo-Cheng Tsai trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Antonio Torralba
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Yann LeCun
8. Ming-Yu Liu
9. Ross B. Girshick
10. Jimmy Ba

Papers from Bo-Cheng Tsai's perspective

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

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

Their papers

• No More Discrimination: Cross City Adaptation of Road Scene Segmenters (2017) — 359 citations