Lijun Gong

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 331 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 93 citations into it; #18,519 of 21,575 by trust here, #7,750 by citations
• Artificial Intelligence — 16 citations into it
• Aerospace Engineering — 13 citations into it
• Model Architectures — 5 citations into it

Whom Lijun Gong trusts overall

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

1. Martin Danelljan
2. Karen Simonyan
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Andrea Vedaldi
8. Ross B. Girshick
9. Yi Wu
10. Diederik P. Kingma

Who trusts Lijun Gong overall

1. Goutam Bhat
2. Ning Wang
3. Martin Danelljan
4. Seyed Mojtaba Marvasti-Zadeh

Papers from Lijun Gong's perspective

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

Their papers

• CREST: Convolutional Residual Learning for Visual Tracking (2017) — 503 citations
• VITAL: VIsual Tracking via Adversarial Learning (2018) — 533 citations