Zheng Lin

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 706 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 189 citations into it; #20,633 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 34 citations into it
• Aerospace Engineering — 20 citations into it
• Cognitive Neuroscience — 17 citations into it
• Model Architectures — 17 citations into it
• Human-Computer Interaction — 10 citations into it; #2,232 of 2,253 by trust here, #1,221 by citations
• Optimization & Training — 6 citations into it

Whom Zheng Lin trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Jia Deng
7. Yann LeCun
8. Diederik P. Kingma
9. Yoshua Bengio
10. Andrew Zisserman

Who trusts Zheng Lin overall

1. Qin Liu
2. Deng-Ping Fan
3. Xi Chen
4. Jing Zhang
5. Konstantin Sofiiuk
6. Ke Chen
7. Xueyan Zou
8. Zhiyan Zhao
9. Zhenlin Xu
10. Ilya A. Petrov

Papers from Zheng Lin's perspective

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

Their papers

• FocusCut: Diving into a Focus View in Interactive Segmentation (2022) — 68 citations
• Interactive Image Segmentation With First Click Attention (2020) — 165 citations
• Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation (2020) — 164 citations
• Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks (2019) — 640 citations