Minghang Zheng

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 232 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #21,392 of 21,575 by trust here, #11,286 by citations
• Artificial Intelligence — 26 citations into it; #35,044 of 35,345 by trust here, #16,771 by citations
• Model Architectures — 16 citations into it; #2,253 of 2,278 by trust here, #1,509 by citations
• Large Language Models — 7 citations into it

Whom Minghang Zheng 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. Yann LeCun
6. Yoshua Bengio
7. Tsung-Yi Lin
8. Ilya Sutskever
9. Diederik P. Kingma
10. Shaoqing Ren

Who trusts Minghang Zheng overall

1. Renrui Zhang
2. Shilong Liu
3. Hao Zhang
4. Shijie Geng
5. Feng Li
6. Peng Gao

Papers from Minghang Zheng's perspective

Ordered by how strongly the researchers Minghang Zheng 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Fast Convergence of DETR with Spatially Modulated Co-Attention (2021) — 404 citations