Jian Zhang

Computer Vision and Pattern Recognition · with Lu · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 248 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Artificial Intelligence — 37 citations into it
• Multimodal Learning — 20 citations into it
• Model Architectures — 8 citations into it
• Reinforcement Learning — 8 citations into it

Whom Jian Zhang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Richard S. Sutton
7. L. Eon Bottou
8. Ilya Sutskever
9. Yoshua Bengio
10. Yann LeCun

Papers from Jian Zhang's perspective

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

Their papers

• Multilabel Image Classification With Regional Latent Semantic Dependencies (2016) — 183 citations
• Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards (2017) — 29 citations