Bin Dong

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 2 papers; trusts 321 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 87 citations into it
• Artificial Intelligence — 45 citations into it
• Model Architectures — 19 citations into it

Whom Bin Dong trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Piotr Doll'ar
6. Yoshua Bengio
7. Tsung-Yi Lin
8. Yann LeCun
9. Shaoqing Ren
10. Diederik P. Kingma

Who trusts Bin Dong overall

1. Yingfei Liu
2. Xiangtai Li
3. Yang Liu
4. Kai Han
5. Xueyan Zou
6. Henghui Ding

Papers from Bin Dong's perspective

Ordered by how strongly the researchers Bin Dong 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

• SOLQ: Segmenting Objects by Learning Queries (2021) — 141 citations
• MOTR: End-to-End Multiple-Object Tracking with TRansformer (2021) — 826 citations