Haofeng Chen

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 271 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it
• Artificial Intelligence — 31 citations into it
• Model Architectures — 7 citations into it
• Automotive Engineering — 6 citations into it

Whom Haofeng Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Piotr Doll'ar
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Fisher Yu
8. Andrew Zisserman
9. Yann LeCun
10. Yoshua Bengio

Who trusts Haofeng Chen overall

1. Yifu Zhang

Papers from Haofeng Chen's perspective

Ordered by how strongly the researchers Haofeng 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning (2018) — 3,030 citations
• Quasi-Dense Similarity Learning for Multiple Object Tracking (2020) — 488 citations