Kaipeng Deng

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 127 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 71 citations into it
• Artificial Intelligence — 40 citations into it

Whom Kaipeng Deng trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Joseph Redmon
8. Jia Deng
9. Yann LeCun
10. Yoshua Bengio

Who trusts Kaipeng Deng overall

1. Juan R. Terven

Papers from Kaipeng Deng's perspective

Ordered by how strongly the researchers Kaipeng Deng 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• PP-YOLOE: An evolved version of YOLO (2022) — 446 citations
• PP-YOLO: An Effective and Efficient Implementation of Object Detector (2020) — 345 citations