Chenyang Huang

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 366 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it; #14,033 of 21,575 by trust here, #8,722 by citations
• Cognitive Neuroscience — 20 citations into it; #6,005 of 10,852 by trust here, #3,544 by citations
• Artificial Intelligence — 19 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 7 citations into it

Whom Chenyang Huang trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Guanbin Li
7. Ross B. Girshick
8. Karen Simonyan
9. Yann LeCun
10. X. Zhang

Who trusts Chenyang Huang overall

1. Xiaoqi Zhao
2. Jiaxiang Tang
3. Deng-Ping Fan
4. Jing Zhang
5. Axel Sauer
6. Xiaodong Cun
7. Junhang Wei
8. Yuval Nirkin
9. Xin Wu
10. Shunyi Zheng

Papers from Chenyang Huang's perspective

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

Their papers

• U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection (2020) — 2,199 citations
• BASNet: Boundary-Aware Salient Object Detection (2019) — 1,441 citations