Yun Teng

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 237 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #16,123 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 31 citations into it
• Computational Mechanics — 15 citations into it
• Computer Graphics and Computer-Aided Design — 13 citations into it
• Efficiency & Compression — 9 citations into it
• Model Architectures — 8 citations into it

Whom Yun Teng trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. F. Baaijens
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Jia Deng
8. Ilya Sutskever
9. Karen Simonyan
10. Shaoqing Ren

Who trusts Yun Teng overall

1. Chien-Yao Wang
2. Alexey Bochkovskiy
3. Cheng Chi
4. Hongpeng Liao

Papers from Yun Teng's perspective

Ordered by how strongly the researchers Yun Teng 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CornerNet-Lite: Efficient Keypoint based Object Detection (2019) — 184 citations
• Eulerian solid-fluid coupling (2016) — 55 citations