Haozhi Qi

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 540 researchers and is trusted by 1,163 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 114 citations into it; #1,258 of 21,575 by trust here, #1,260 by citations
• Artificial Intelligence — 62 citations into it; #22,711 of 35,345 by trust here, #6,266 by citations
• Model Architectures — 33 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Haozhi Qi trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. Karen Simonyan
7. Yann LeCun
8. Bharath Hariharan
9. Jifeng Dai
10. David G. Lowe

Who trusts Haozhi Qi overall

1. Liang-Chieh Chen
2. Xizhou Zhu
3. Han Hu
4. Chunhua Shen
5. Xingyi Zhou
6. Kaiming He
7. Bharat Singh
8. Alexander Kirillov
9. Gedas Bertasius
10. George Papandreou

Papers from Haozhi Qi's perspective

Ordered by how strongly the researchers Haozhi Qi 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deformable Convolutional Networks (2017) — 6,697 citations
• Fully Convolutional Instance-Aware Semantic Segmentation (2016) — 1,052 citations
• Deep Networks from the Principle of Rate Reduction (2020) — 22 citations