Yifu Zhang

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 497 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 138 citations into it; #18,293 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 61 citations into it
• Aerospace Engineering — 16 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Model Architectures — 13 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Yifu Zhang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Karen Simonyan
7. Tsung-Yi Lin
8. Shaoqing Ren
9. Andrew Zisserman
10. Yann LeCun

Who trusts Yifu Zhang overall

1. Jinkun Cao
2. Pei Sun
3. Yunhao Du
4. Nir Aharon
5. Gerard Maggiolino
6. Jiangmiao Pang
7. Tim Meinhardt
8. Fangao Zeng
9. Kris M. Kitani
10. Chao Liang

Papers from Yifu Zhang's perspective

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

Their papers

• FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking (2020) — 1,833 citations
• ByteTrack: Multi-Object Tracking by Associating Every Detection Box (2021) — 2,498 citations