Gen Li

Computer Vision and Pattern Recognition · with Kim · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 274 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #9,820 of 21,575 by trust here, #8,296 by citations
• Artificial Intelligence — 33 citations into it
• Media Technology — 14 citations into it; #1,480 of 3,621 by trust here, #839 by citations

Whom Gen Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Ross B. Girshick
6. Ilya Sutskever
7. Yoshua Bengio
8. Yann LeCun
9. Tsung-Yi Lin
10. Christian Szegedy

Who trusts Gen Li overall

1. Saeed Anwar
2. Yochai Blau
3. Wenming Yang
4. Radu Timofte
5. Chunbo Lang
6. Roey Mechrez
7. Wanjie Sun
8. Kui Jiang
9. Peng Yi
10. Zhihao Wang

Papers from Gen Li's perspective

Ordered by how strongly the researchers Gen Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Image Super-Resolution Using Dense Skip Connections (2017) — 1,272 citations
• Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (2021) — 502 citations