Haicheng Bai

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Aerospace Engineering — 12 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Artificial Intelligence — 7 citations into it

Whom Haicheng Bai trusts overall

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

1. Kaiming He
2. Yimian Dai
3. Shaoqing Ren
4. Landan Zhang

Papers from Haicheng Bai's perspective

Ordered by how strongly the researchers Haicheng Bai 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. Gradient-based learning applied to document recognition
4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
5. Attention is All you Need (Neural Information Processing Systems)
6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• ISNet: Shape Matters for Infrared Small Target Detection (2022) — 577 citations