Mingda Zhang

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 193 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 44 citations into it
• Multimodal Learning — 18 citations into it
• Natural Language Processing — 15 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Model Architectures — 6 citations into it

Whom Mingda Zhang trusts overall

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

1. Kaiming He
2. Tomas Mikolov
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. George A. Miller
6. Navneet Dalal
7. Alex Krizhevsky
8. Yoshua Bengio
9. Karen Simonyan
10. Ross B. Girshick

Who trusts Mingda Zhang overall

1. Douwe Kiela
2. Hamed Firooz
3. Christopher Thomas

Papers from Mingda Zhang's perspective

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

Their papers

• Automatic Understanding of Image and Video Advertisements (2017) — 200 citations
• Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text (2018) — 61 citations