Jing Zhang

Computer Vision and Pattern Recognition · with Koniusz · 2019

A researcher in the Science corpus: 1 paper; trusts 149 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #17,258 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 18 citations into it; #28,116 of 35,345 by trust here, #25,809 by citations
• Representation & Self-Supervised Learning — 16 citations into it; #2,625 of 3,145 by trust here, #2,691 by citations

Whom Jing Zhang trusts overall

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

1. Ross B. Girshick
2. Geoffrey E. Hinton
3. Bharath Hariharan
4. Alex Krizhevsky
5. Li Fei-Fei
6. Kaiming He
7. Oriol Vinyals
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Jing Zhang overall

1. Yuqing Hu
2. Zhongqi Yue
3. Yisheng Song

Papers from Jing Zhang's perspective

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

Their papers

• Few-Shot Learning via Saliency-Guided Hallucination of Samples (2019) — 216 citations