Xin Gu

Computer Vision and Pattern Recognition · with Li · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 10 citations into it

Whom Xin Gu trusts overall

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

1. Joseph Redmon
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Davide Maltoni
6. Alex Krizhevsky
7. Yann LeCun
8. Vincenzo Lomonaco
9. Roger Ratcliff
10. Yoshua Bengio

Papers from Xin Gu's perspective

Ordered by how strongly the researchers Xin Gu 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. ImageNet: A large-scale hierarchical image database
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification (2020) — 66 citations