Haoxin Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Haoxin Wang trusts overall

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

1. Joseph Redmon
2. Mark Everingham
3. Tsung-Yi Lin
4. Ali Farhadi
5. Kaiming He
6. Jonathan Huang
7. Ross B. Girshick
8. Shaoqing Ren
9. Andrew Zisserman
10. Alex Krizhevsky

Papers from Haoxin Wang's perspective

Ordered by how strongly the researchers Haoxin 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. Gradient-based learning applied to document recognition
5. ImageNet Large Scale Visual Recognition Challenge
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Microsoft COCO: Common Objects in Context
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• How Is Energy Consumed in Smartphone Deep Learning Apps? Executing Locally vs. Remotely (2019) — 18 citations