Zhipeng Luo

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 42 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Optimization & Training — 9 citations into it
• Meta & Continual Learning — 8 citations into it
• Reinforcement Learning — 5 citations into it

Whom Zhipeng Luo trusts overall

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

1. Jaume Amores
2. David D. Lewis
3. Sanjoy Dasgupta
4. Hieu Tat Nguyen
5. Xiaojin Zhu
6. Geoffrey E. Hinton
7. Rong-En Fan
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Kaiming He

Who trusts Zhipeng Luo overall

1. Vinay Kumar Verma

Papers from Zhipeng Luo's perspective

Ordered by how strongly the researchers Zhipeng Luo 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• LiDAR-Video Driving Dataset: Learning Driving Policies Effectively (2018) — 122 citations
• AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) — 43 citations
• Efficient Architecture Search for Continual Learning (2020) — 75 citations
• Group-Based Active Learning of Classification Models (2017) — 4 citations