Rundong Li

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 19 citations into it
• Model Architectures — 5 citations into it

Whom Rundong Li trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Yoshua Bengio
5. Shaoqing Ren
6. Sergey Ioffe
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. Christian Szegedy
10. Jia Deng

Who trusts Rundong Li overall

1. Zhen Dong
2. Tim Dettmers
3. Yaohui Cai
4. Zhenhua Liu
5. Zi-Mei Yao
6. Feng Zhu
7. Ruihao Gong
8. A. Gholami
9. Michael Lewis
10. Yunhe Wang

Papers from Rundong Li's perspective

Ordered by how strongly the researchers Rundong Li 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fully Quantized Network for Object Detection (2019) — 229 citations