Xiaofan Zhang

Computer Vision and Pattern Recognition · with Li · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 391 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 112 citations into it; #7,540 of 21,575 by trust here, #8,021 by citations
• Artificial Intelligence — 40 citations into it
• Model Architectures — 9 citations into it
• Media Technology — 7 citations into it
• Safety, Risk, Reliability and Quality — 7 citations into it

Whom Xiaofan Zhang trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. David G. Lowe
6. Kaiming He
7. Ilya Sutskever
8. Ross B. Girshick
9. Yoshua Bengio
10. Yann LeCun

Who trusts Xiaofan Zhang overall

1. Qi Wang
2. Weiwen Jiang
3. Md Maruf Hossain Shuvo
4. Vishwanath A. Sindagi
5. Weizhe Liu
6. Huidong Liu
7. Daniel Oñoro-Rubio
8. Di Kang
9. Weixin Liang
10. Luca Ciampi

Papers from Xiaofan Zhang's perspective

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

Their papers

• The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
• CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes (2018) — 1,638 citations
• FPGA/DNN Co-Design: An Efficient Design Methodology for 1oT Intelligence on the Edge (2019) — 192 citations
• DNNBuilder: an Automated Tool for Building High-Performance DNN Hardware Accelerators for FPGAs (2018) — 361 citations