Luxin Zhang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #15,894 of 21,575 by trust here, #14,151 by citations
• Reinforcement Learning — 22 citations into it

Whom Luxin Zhang trusts overall

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

1. Gunnar Farnebäck
2. Laurent Itti
3. Richard S. Sutton
4. Marc G. Bellemare
5. Volodymyr Mnih

Who trusts Luxin Zhang overall

1. Ruohan Zhang
2. Akanksha Saran
3. Dmitry Nikulin

Papers from Luxin Zhang's perspective

Ordered by how strongly the researchers Luxin Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Human-level control through deep reinforcement learning
5. The Arcade Learning Environment: An Evaluation Platform for General Agents
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. End-to-End Training of Deep Visuomotor Policies

Their papers

• AGIL: Learning Attention from Human for Visuomotor Tasks (2018) — 85 citations
• Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset (2019) — 82 citations