Yifan Zhang

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 9 papers; trusts 955 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 268 citations into it; #5,165 of 21,575 by trust here, #6,089 by citations
• Artificial Intelligence — 143 citations into it
• Biomedical Engineering — 86 citations into it; #998 of 10,734 by trust here, #3,873 by citations
• Model Architectures — 55 citations into it
• Human-Computer Interaction — 51 citations into it; #1,814 of 2,253 by trust here, #978 by citations
• Graph Learning — 26 citations into it
• 3D Vision & Pose — 22 citations into it
• Evaluation & Benchmarks — 15 citations into it

Whom Yifan Zhang trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Andrew Zisserman
4. Kaiming He
5. Alex Krizhevsky
6. Yann LeCun
7. Yoshua Bengio
8. Diederik P. Kingma
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts Yifan Zhang overall

1. Yisheng Song
2. Zhan Chen
3. Ke Cheng
4. Zhang Zhang
5. Chiara Plizzari
6. Hyung-gun Chi
7. Sicheng Li
8. Fanfan Ye
9. Caifeng Shan
10. Hamid Reza Vaezi Joze

Papers from Yifan Zhang's perspective

Ordered by how strongly the researchers Yifan Zhang 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition (2018) — 1,855 citations
• Skeleton-Based Action Recognition With Shift Graph Convolutional Network (2020) — 845 citations
• VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results (2019) — 1,010 citations
• Skeleton-Based Action Recognition With Directed Graph Neural Networks (2019) — 798 citations
• Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition (2020) — 338 citations
• Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks (2019) — 543 citations
• Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition (2017) — 73 citations
• EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition (2018) — 319 citations
• Face Clustering in Videos with Proportion Prior (2015) — 8 citations