Cong Zhang

Computer Vision and Pattern Recognition · with Wang · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 428 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 98 citations into it; #7,046 of 21,575 by trust here, #5,464 by citations
• Artificial Intelligence — 38 citations into it; #11,938 of 35,345 by trust here, #9,557 by citations
• Aerospace Engineering — 9 citations into it

Whom Cong Zhang trusts overall

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

1. David G. Lowe
2. Ross B. Girshick
3. Kaiming He
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Pedro F. Felzenszwalb
7. Christian Szegedy
8. Wanli Ouyang
9. Andrew Zisserman
10. Karen Simonyan

Who trusts Cong Zhang overall

1. Vishwanath A. Sindagi
2. Vishal M. Patel
3. Daniel Oñoro-Rubio
4. Xiaoheng Jiang
5. Shubhra Aich
6. Elad Walach
7. Weizhe Liu
8. Xialei Liu
9. Viresh Ranjan
10. Di Kang

Papers from Cong Zhang's perspective

Ordered by how strongly the researchers Cong 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. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos (2016) — 526 citations
• Cross-scene crowd counting via deep convolutional neural networks (2015) — 1,185 citations
• Factors in Finetuning Deep Model for Object Detection with Long-Tail Distribution (2016) — 213 citations