Ying Chen

Computer Vision and Pattern Recognition · with Cai · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 210 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Artificial Intelligence — 35 citations into it
• Model Architectures — 17 citations into it
• Optimization & Training — 11 citations into it

Whom Ying Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Shaoqing Ren
5. Tsung-Yi Lin
6. Geoffrey E. Hinton
7. X. Zhang
8. Karen Simonyan
9. Ilya Sutskever
10. Yann LeCun

Papers from Ying Chen's perspective

Ordered by how strongly the researchers Ying 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. ImageNet Large Scale Visual Recognition Challenge
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network (2018) — 868 citations
• DO-Conv: Depthwise Over-Parameterized Convolutional Layer (2020) — 251 citations