Tsung-Chuan Chen

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #5,208 of 21,575 by trust here, #8,409 by citations
• Artificial Intelligence — 11 citations into it; #7,635 of 35,345 by trust here, #12,083 by citations
• Biomedical Engineering — 5 citations into it; #881 of 10,734 by trust here, #3,931 by citations

Whom Tsung-Chuan Chen trusts overall

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

1. Abhinav Kumar Gupta
2. Michalis Raptis
3. Alexei A. Efros
4. Tomasz Malisiewicz
5. Antonio Torralba
6. Saurabh Singh
7. Andrew Zisserman
8. Feng Zhou
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Tsung-Chuan Chen overall

1. Yu Kong
2. Qiuhong Ke
3. Jacob Walker
4. Antonino Furnari
5. Carl Vondrick
6. Jianfang Hu
7. Jiyang Gao
8. Michalis Vrigkas
9. Tahmida Binte Mahmud
10. Yun Raymond Fu

Papers from Tsung-Chuan Chen's perspective

Ordered by how strongly the researchers Tsung-Chuan Chen 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Hierarchical Representation for Future Action Prediction (2014) — 342 citations