Wei-Yu Chen

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 354 researchers and is trusted by 202 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it; #2,671 of 21,575 by trust here, #2,949 by citations
• Artificial Intelligence — 69 citations into it; #7,129 of 35,345 by trust here, #3,878 by citations
• Representation & Self-Supervised Learning — 36 citations into it; #1,038 of 3,145 by trust here, #551 by citations
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Wei-Yu Chen trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Ross B. Girshick
5. Diederik P. Kingma
6. Yoshua Bengio
7. Yann LeCun
8. Jia Deng
9. Jeff Donahue
10. Ilya Sutskever

Who trusts Wei-Yu Chen overall

1. Ali Ayub
2. Han-Jia Ye
3. Chi Zhang
4. Wei-Hong Li
5. Alan R. Wagner
6. Trevor Darrell
7. Yinbo Chen
8. De-chuan Zhan
9. Dacheng Tao
10. Renrui Zhang

Papers from Wei-Yu Chen's perspective

Ordered by how strongly the researchers Wei-Yu Chen 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Closer Look at Few-shot Classification (2019) — 2,007 citations
• No More Discrimination: Cross City Adaptation of Road Scene Segmenters (2017) — 359 citations
• Transfer Neural Trees for Heterogeneous Domain Adaptation (2016) — 93 citations