Zhigang Dai

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #10,974 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 24 citations into it; #17,480 of 35,345 by trust here, #13,760 by citations
• Large Language Models — 5 citations into it

Whom Zhigang Dai trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Alec Radford
6. Shaoqing Ren
7. Ilya Sutskever
8. Yoshua Bengio
9. Yann LeCun
10. Jia Deng

Who trusts Zhigang Dai overall

1. Jianwei Yang
2. Pengchuan Zhang
3. Chunyuan Li
4. Yuxin Fang
5. Sen Yang
6. Youngwan Lee
7. Yaoyao Liu
8. Xiyang Dai
9. Zhiqing Sun
10. Ye Du

Papers from Zhigang Dai's perspective

Ordered by how strongly the researchers Zhigang Dai 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• UP-DETR: Unsupervised Pre-training for Object Detection with Transformers (2020) — 571 citations