Dong Liu

Computer Vision and Pattern Recognition · with Zhang · 2023

A researcher in the Science corpus: 1 paper; trusts 101 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #15,308 of 21,575 by trust here, #21,424 by citations
• Artificial Intelligence — 14 citations into it; #24,893 of 35,345 by trust here, #34,943 by citations
• Radiology, Nuclear Medicine and Imaging — 9 citations into it
• Model Architectures — 7 citations into it

Whom Dong Liu trusts overall

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

1. Kaiming He
2. Ilya Loshchilov
3. Jia Deng
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Olaf Ronneberger
7. X. Zhang
8. Diederik P. Kingma
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Dong Liu overall

1. Yichi Zhang

Papers from Dong Liu's perspective

Ordered by how strongly the researchers Dong Liu 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Customized Segment Anything Model for Medical Image Segmentation (2023) — 500 citations