Zongxu Pan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 256 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #20,648 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 12 citations into it
• Aerospace Engineering — 7 citations into it; #4,219 of 6,421 by trust here, #3,280 by citations
• Model Architectures — 6 citations into it
• Media Technology — 5 citations into it

Whom Zongxu Pan trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Shaoqing Ren
6. Piotr Doll'ar
7. Ilya Sutskever
8. Yoshua Bengio
9. Yann LeCun
10. Karen Simonyan

Who trusts Zongxu Pan overall

1. Mohammad Rostami
2. Jian Ding
3. Ekim Yurtsever
4. Ke Li
5. Jamyoung Koo
6. S. Azimi
7. Xian Sun
8. Yongchao Xu
9. Zhiming Chen

Papers from Zongxu Pan's perspective

Ordered by how strongly the researchers Zongxu Pan 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning a Rotation Invariant Detector with Rotatable Bounding Box (2017) — 207 citations
• Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data (2017) — 386 citations