Junru Gu

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Automotive Engineering — 25 citations into it; #2,107 of 3,081 by trust here, #2,409 by citations
• Model Architectures — 5 citations into it

Whom Junru Gu trusts overall

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

1. Ronald J. Williams
2. Jiyang Gao
3. Sergio Casas
4. Geoffrey E. Hinton
5. Kaiming He
6. Hang Zhao
7. Alex Krizhevsky
8. Chen Sun
9. Diederik P. Kingma
10. Ross B. Girshick

Who trusts Junru Gu overall

1. Pranav Singh Chib
2. Zikang Zhou
3. Shaoshuai Shi
4. Zikang Zhou
5. Yanjun Huang
6. Pravendra Singh
7. Jianping Wang
8. Li Jiang
9. Luyao Ye
10. Jiatong Du

Papers from Junru Gu's perspective

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

Their papers

• DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models (2024) — 536 citations
• DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets (2021) — 596 citations