Cheng Chen

Computer Vision and Pattern Recognition · with Dong · 2021

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it

Whom Cheng Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Shaoqing Ren
5. Alex Krizhevsky
6. Ilya Sutskever
7. Pedro F. Felzenszwalb
8. Diederik P. Kingma
9. Xingyi Zhou
10. Yoshua Bengio

Papers from Cheng Chen's perspective

Ordered by how strongly the researchers Cheng Chen 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• MOTR: End-to-End Multiple-Object Tracking with TRansformer (2021) — 826 citations