Ren Zhong

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it
• Automotive Engineering — 36 citations into it
• Artificial Intelligence — 31 citations into it
• Aerospace Engineering — 27 citations into it
• Signal Processing — 7 citations into it
• Environmental Engineering — 5 citations into it

Whom Ren Zhong trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Yann LeCun
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Z. Kim
8. Jean-Emmanuel Deschaud
9. Diederik P. Kingma
10. Andrew Zisserman

Papers from Ren Zhong's perspective

Ordered by how strongly the researchers Ren Zhong 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. Attention is All you Need (Neural Information Processing Systems)
9. Histograms of oriented gradients for human detection
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Computing Systems for Autonomous Driving: State of the Art and Challenges (2020) — 396 citations