Junhang Wei

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 398 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it; #9,061 of 21,575 by trust here, #14,151 by citations
• Cognitive Neuroscience — 23 citations into it
• Artificial Intelligence — 10 citations into it
• Human-Computer Interaction — 7 citations into it
• Model Architectures — 6 citations into it

Whom Junhang Wei trusts overall

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

1. Kaiming He
2. Huchuan Lu
3. Karen Simonyan
4. Ming-Ming Cheng
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ali Borji
8. Ross B. Girshick
9. Andrew Zisserman
10. Tiantian Wang

Who trusts Junhang Wei overall

1. Deng-Ping Fan
2. Xiaoqi Zhao
3. Youwei Pang
4. Jing Zhang
5. Aixuan Li
6. Nian Liu
7. Ge-Peng Ji
8. Mingchen Zhuge
9. Haiyang Mei
10. Yunqiu Lyu

Papers from Junhang Wei's perspective

Ordered by how strongly the researchers Junhang Wei 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Label Decoupling Framework for Salient Object Detection (2020) — 337 citations
• F3Net: Fusion, Feedback and Focus for Salient Object Detection (2019) — 862 citations