Junhang Zhang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it

Whom Junhang Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ross B. Girshick
4. Kaiming He
5. Yoshua Bengio
6. Diederik P. Kingma
7. Alec Radford
8. Ilya Sutskever
9. Yann LeCun

Papers from Junhang Zhang's perspective

Ordered by how strongly the researchers Junhang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Survey of Human-in-the-loop for Machine Learning (2021) — 775 citations