Su Pang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 148 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #17,047 of 21,575 by trust here, #17,258 by citations
• Aerospace Engineering — 18 citations into it; #4,731 of 6,421 by trust here, #4,570 by citations
• Geology — 8 citations into it
• Computational Mechanics — 6 citations into it
• Environmental Engineering — 5 citations into it

Whom Su Pang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Ross B. Girshick
4. Shaoshuai Shi
5. Tsung-Yi Lin
6. Ming Liang
7. Vinod Nair
8. Alex Krizhevsky
9. Charles Ruizhongtai Qi
10. Yann LeCun

Who trusts Su Pang overall

1. Rui Qian
2. Wu Zheng
3. Xin Lai
4. Weiliang Tang

Papers from Su Pang's perspective

Ordered by how strongly the researchers Su Pang 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection (2020) — 514 citations