Xuecheng Nie

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 481 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 106 citations into it
• Artificial Intelligence — 50 citations into it
• Model Architectures — 16 citations into it
• Optimization & Training — 5 citations into it

Whom Xuecheng Nie trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. X. Zhang
7. Yann LeCun
8. Yoshua Bengio
9. Andrew Zisserman
10. Karen Simonyan

Who trusts Xuecheng Nie overall

1. Kemal Oksuz

Papers from Xuecheng Nie's perspective

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

Their papers

• Learning to Rank Proposals for Object Detection (2019) — 53 citations
• A Simple Baseline for Pose Tracking in Videos of Crowed Scenes (2020) — 4 citations
• Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes (2020) — 7 citations
• Dynamic Kernel Distillation for Efficient Pose Estimation in Videos (2019) — 78 citations