Chengjian Feng

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #17,505 of 21,575 by trust here, #15,162 by citations

Whom Chengjian Feng trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Jia Deng
5. Alex Krizhevsky
6. Chenchen Zhu
7. Geoffrey E. Hinton
8. Yann LeCun
9. Piotr Doll'ar
10. Shaoqing Ren

Who trusts Chengjian Feng overall

1. Juan R. Terven
2. Chien-Yao Wang
3. Ajantha Vijayakumar
4. Diana-Margarita Córdova-Esparza
5. Xianzhe Xu
6. G. Wang
7. Tianheng Cheng
8. Ao Wang
9. Chengqi Lyu
10. Shangliang Xu

Papers from Chengjian Feng's perspective

Ordered by how strongly the researchers Chengjian Feng 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• TOOD: Task-aligned One-stage Object Detection (2021) — 1,333 citations