Yongxin Wang

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Yongxin Wang trusts overall

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

1. Wei David Liu
2. Yunchao Gong
3. Guiguang Ding
4. Mark J. Huiskes
5. Wei Dong
6. Moses Charikar
7. Svetlana Lazebnik
8. Fumin Shen
9. Miaomiao Cheng
10. Geoffrey E. Hinton

Papers from Yongxin Wang's perspective

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

Their papers

• High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding (2021) — 22 citations