Jianguo Zhang

Computer Vision and Pattern Recognition · with Zheng · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 443 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 188 citations into it; #5,030 of 21,575 by trust here, #6,206 by citations
• Artificial Intelligence — 115 citations into it; #7,257 of 35,345 by trust here, #9,465 by citations
• Biomedical Engineering — 48 citations into it
• Human-Computer Interaction — 34 citations into it
• 3D Vision & Pose — 22 citations into it
• Model Architectures — 19 citations into it
• Representation & Self-Supervised Learning — 9 citations into it; #964 of 3,145 by trust here, #1,415 by citations
• Multimodal Learning — 8 citations into it

Whom Jianguo Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Andrew Zisserman
7. Yann LeCun
8. L. Eon Bottou
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Jianguo Zhang overall

1. Jun Liu
2. Amir Shahroudy
3. Jianfang Hu
4. Pengfei Zhang
5. Pichao Wang
6. Xionghui Wang
7. G. Wang
8. Qiuhong Ke

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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Progressive Teacher-Student Learning for Early Action Prediction (2019) — 137 citations
• Jointly Learning Heterogeneous Features for RGB-D Activity Recognition (2015) — 557 citations
• Deep Bilinear Learning for RGB-D Action Recognition (2018) — 84 citations
• Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge (2019) — 315 citations
• Early Action Prediction by Soft Regression (2019) — 117 citations