Feng Wang

Computer Vision and Pattern Recognition · with Ge · 2021

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #14,156 of 21,575 by trust here, #9,187 by citations

Whom Feng Wang trusts overall

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

1. Joseph Redmon
2. Ross B. Girshick
3. Kaiming He
4. Conall O’Sullivan
5. Tsung-Yi Lin
6. Chien-Yao Wang
7. Ali Farhadi
8. Alex Krizhevsky
9. Geoffrey E. Hinton

Who trusts Feng Wang overall

1. Juan R. Terven
2. Chien-Yao Wang

Papers from Feng Wang's perspective

Ordered by how strongly the researchers Feng Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Microsoft COCO: Common Objects in Context
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• YOLOX: Exceeding YOLO Series in 2021 (2021) — 6,005 citations