Mingyang Zhou

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 34 citations into it
• Multimodal Learning — 29 citations into it

Whom Mingyang Zhou trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Shaoqing Ren
7. Ross B. Girshick
8. Jimmy Ba
9. Ilya Sutskever
10. Desmond Elliott

Who trusts Mingyang Zhou overall

1. Wenliang Dai
2. Chao Jia
3. Aashi Jain

Papers from Mingyang Zhou's perspective

Ordered by how strongly the researchers Mingyang Zhou 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training (2021) — 112 citations