Jiamin Wu

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #20,111 of 21,575 by trust here, #19,766 by citations
• Media Technology — 35 citations into it; #3,544 of 3,621 by trust here, #3,430 by citations

Whom Jiamin Wu trusts overall

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

1. Yan-Tsung Peng
2. David G. Lowe
3. John Yi-Wu Chiang
4. Miao Yang
5. Chongyi Li
6. Cosmin Ancuți
7. Pamela C. Cosman
8. Kaiming He
9. Chao Dong
10. Dana Berman

Who trusts Jiamin Wu overall

1. Weidong Zhang
2. Chongyi Li
3. Runmin Cong

Papers from Jiamin Wu's perspective

Ordered by how strongly the researchers Jiamin Wu 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. Distinctive Image Features from Scale-Invariant Keypoints
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors (2022) — 386 citations
• Bayesian retinex underwater image enhancement (2021) — 357 citations