Jiaxing Zhang

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 3 papers; trusts 135 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #7,703 of 21,575 by trust here, #4,088 by citations
• Artificial Intelligence — 27 citations into it; #11,527 of 35,345 by trust here, #5,495 by citations

Whom Jiaxing Zhang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Li Fei-Fei
4. Yoshua Bengio
5. Ilya Sutskever
6. Jia Deng
7. Rob Fergus
8. Ross B. Girshick
9. Andrew Zisserman
10. Yann LeCun

Who trusts Jiaxing Zhang overall

1. Umberto Michieli
2. Deboleena Roy
3. Pravendra Singh
4. Fei Ye
5. Pietro Zanuttigh
6. Xiangteng He
7. Yue Wu
8. Yuxin Peng
9. Heliang Zheng
10. Priyadarshini Panda

Papers from Jiaxing Zhang's perspective

Ordered by how strongly the researchers Jiaxing 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. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The application of two-level attention models in deep convolutional neural network for fine-grained image classification (2014) — 824 citations
• Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification (2014) — 256 citations
• Minerva: A Scalable and Highly Efficient Training Platform for Deep Learning (2014) — 28 citations