Zhenzhong Chen

Computer Vision and Pattern Recognition · with Sun · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 987 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it; #4,285 of 21,575 by trust here, #10,334 by citations
• Media Technology — 28 citations into it
• Artificial Intelligence — 14 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Aerospace Engineering — 10 citations into it; #487 of 6,421 by trust here, #2,367 by citations
• Model Architectures — 5 citations into it

Whom Zhenzhong Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Tsung-Yi Lin
7. Shaoqing Ren
8. Piotr Doll'ar
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Zhenzhong Chen overall

1. Tai Wang
2. Xinzhu Ma
3. Brady Zhou
4. Garrick Brazil
5. Yan Wang
6. Zechen Liu
7. Thomas Roddick
8. Fabian Manhardt
9. Peiliang Li
10. Yongjian Chen

Papers from Zhenzhong Chen's perspective

Ordered by how strongly the researchers Zhenzhong Chen 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Multi-level Fusion Based 3D Object Detection from Monocular Images (2018) — 330 citations
• Learned Image Downscaling for Upscaling Using Content Adaptive Resampler (2019) — 166 citations