Meng Zhang

Computer Vision and Pattern Recognition · with Bhattacharya · 2020

A researcher in the Science corpus: 1 paper; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Multimodal Learning — 15 citations into it
• Artificial Intelligence — 12 citations into it
• Natural Language Processing — 9 citations into it

Whom Meng Zhang trusts overall

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

1. Chin-Yew Lin
2. C. Lawrence Zitnick
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ross B. Girshick
9. Ilya Sutskever
10. Yann LeCun

Papers from Meng Zhang's perspective

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

Their papers

• Captioning Images Taken by People Who Are Blind (2020) — 219 citations