Jianguo Zhang

Computer Vision and Pattern Recognition · with Schmid · 2002–2006

A researcher in the Science corpus: 6 papers; trusts 225 researchers and is trusted by 16,224 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 86 citations into it; #58 of 21,575 by trust here, #773 by citations
• Media Technology — 18 citations into it
• Aerospace Engineering — 15 citations into it
• Artificial Intelligence — 13 citations into it
• Optimization & Training — 6 citations into it
• Statistical Learning Theory — 5 citations into it; #224 of 1,038 by trust here, #152 by citations

Whom Jianguo Zhang trusts overall

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

1. David G. Lowe
2. Cordelia Schmid
3. Krystian Mikolajczyk
4. Svetlana Lazebnik
5. Christopher K. I. Williams
6. Andrew Zisserman
7. Geoffrey E. Hinton
8. Kristen Grauman
9. Alex Krizhevsky
10. Kaiming He

Who trusts Jianguo Zhang overall

1. Jitendra Malik
2. Andrea Vedaldi
3. Andrew Zisserman
4. Luc Van Gool
5. Ross B. Girshick
6. Trevor Darrell
7. Abhinav Kumar Gupta
8. Kristen Grauman
9. Cordelia Schmid
10. Xiaodan Liang

Papers from Jianguo Zhang's perspective

Ordered by how strongly the researchers Jianguo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
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

• The PASCAL Visual Object Classes Challenge (2006) — 3,406 citations
• Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study (2006) — 2,191 citations
• The 2005 PASCAL Visual Object Classes Challenge (2005) — 525 citations
• Local Features and Kernels for Classication of Texture and Object Categories: A Comprehensive Study (2006) — 529 citations
• Dataset Issues in Object Recognition (2006) — 262 citations
• Brief review of invariant texture analysis methods (2002) — 521 citations